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Author SHA1 Message Date
Bryan Thompson
a4b9c4867f Add dataproc plugin 2026-06-04 19:12:30 -05:00
19 changed files with 178 additions and 1280 deletions

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@@ -19,7 +19,7 @@
"url": "https://github.com/42Crunch-AI/claude-plugins.git",
"path": "plugins/api-security-testing",
"ref": "v1.5.5",
"sha": "b7e131e30ff033be2176faf796c94c151a68c63a"
"sha": "1db609845441d4fa8862019191e4138e61f77e67"
},
"homepage": "https://42crunch.com"
},
@@ -35,7 +35,7 @@
"url": "https://github.com/adobe/skills.git",
"path": "plugins/creative-cloud/adobe-for-creativity",
"ref": "main",
"sha": "a5a5e4e401029cf85fa4b4bb452d0f039900ad43"
"sha": "e23271f65aa7572f567d085d6baec5c2408e2ad5"
},
"homepage": "https://github.com/adobe/skills/tree/main/plugins/creative-cloud/adobe-for-creativity"
},
@@ -57,7 +57,7 @@
"source": {
"source": "url",
"url": "https://github.com/SalesforceAIResearch/agentforce-adlc.git",
"sha": "fad761fce6cba119d23792b3a96a3bf33e23c566"
"sha": "1db738befed88c2ee6d068482cfd64a10c97e2ef"
},
"homepage": "https://github.com/SalesforceAIResearch/agentforce-adlc"
},
@@ -67,7 +67,7 @@
"source": {
"source": "url",
"url": "https://github.com/endorlabs/ai-plugins.git",
"sha": "a6737fcf72336399e212e45cd25a250c2df3b7b4"
"sha": "975f0ce422b1f2677681ffd085aef34ea1826b70"
},
"homepage": "https://www.endorlabs.com"
},
@@ -93,7 +93,7 @@
"url": "https://github.com/Airtable/skills.git",
"path": "plugins/airtable",
"ref": "main",
"sha": "295ab93b7d765912ee1a0dc7f1abb0ecaf73f138"
"sha": "21d2fe52774d861e2f2f997eeac2bf965e8590b8"
},
"homepage": "https://www.airtable.com"
},
@@ -109,7 +109,7 @@
"url": "https://github.com/airwallex/airwallex-marketplace.git",
"path": "plugins/airwallex",
"ref": "master",
"sha": "a49ef1ec801fd776adc4db9f2bb4a78463981bc9"
"sha": "a903ab7693a5f6d46f2fab6f895a2f96a879ee0f"
},
"homepage": "https://www.airwallex.com/docs"
},
@@ -127,20 +127,6 @@
},
"homepage": "https://cloud.google.com/alloydb"
},
{
"name": "alloydb-omni",
"description": "Create, connect, and interact with an AlloyDB Omni database and data.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/alloydb-omni.git",
"sha": "fbf2476630629f32ce0029bbd62d225950fdfd6d"
},
"homepage": "https://github.com/gemini-cli-extensions/alloydb-omni"
},
{
"name": "amazon-location-service",
"description": "Guide developers through adding maps, places search, geocoding, routing, and other geospatial features with Amazon Location Service, including authentication setup, SDK integration, and best practices.",
@@ -150,7 +136,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/amazon-location-service",
"ref": "main",
"sha": "b13ce7f008c52be10c3fcccce25d64ec614e76be"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -191,7 +177,7 @@
"source": {
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"url": "https://github.com/apollographql/skills.git",
"sha": "605089108a198e412f7f0c1926c91eb94a6d1727"
"sha": "9ccf13477e116ec095ba9b606212492ffbd42926"
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"homepage": "https://www.apollographql.com"
},
@@ -223,7 +209,7 @@
"source": {
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"url": "https://github.com/astronomer/agents.git",
"sha": "789b4544b85a989694501e4f405b522f2d711cf6"
"sha": "7ce4a12d3cabb506294134c91a1b876d4b166a70"
},
"homepage": "https://github.com/astronomer/agents"
},
@@ -244,7 +230,7 @@
"source": {
"source": "url",
"url": "https://github.com/atlassian/atlassian-mcp-server.git",
"sha": "f4911dba81f25782c88815b03deabf444cd46e0d"
"sha": "9b52fb18e184edc307ce33f8bf4cdf148dedf1f2"
},
"homepage": "https://github.com/atlassian/atlassian-mcp-server"
},
@@ -275,7 +261,7 @@
"url": "https://github.com/auth0/agent-skills.git",
"path": "plugins/auth0",
"ref": "main",
"sha": "bdf0dc23f8b17446b2c94bc9f2e5a58d3f1bc114"
"sha": "9d93554c5d91bd087a46f4d6825f80c3eb981945"
},
"homepage": "https://auth0.com/docs/quickstart/agent-skills"
},
@@ -291,7 +277,7 @@
"url": "https://github.com/aws/agent-toolkit-for-aws.git",
"path": "plugins/aws-agents",
"ref": "main",
"sha": "c0991f463b54ac94af32a730d6d13293dcff98cf"
"sha": "df13dea64baaa1b7031b25d1b2f380756131efec"
},
"homepage": "https://github.com/aws/agent-toolkit-for-aws"
},
@@ -304,7 +290,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/aws-amplify",
"ref": "main",
"sha": "b13ce7f008c52be10c3fcccce25d64ec614e76be"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -320,7 +306,7 @@
"url": "https://github.com/aws/agent-toolkit-for-aws.git",
"path": "plugins/aws-core",
"ref": "main",
"sha": "c0991f463b54ac94af32a730d6d13293dcff98cf"
"sha": "df13dea64baaa1b7031b25d1b2f380756131efec"
},
"homepage": "https://github.com/aws/agent-toolkit-for-aws"
},
@@ -336,7 +322,7 @@
"url": "https://github.com/aws/agent-toolkit-for-aws.git",
"path": "plugins/aws-data-analytics",
"ref": "main",
"sha": "c0991f463b54ac94af32a730d6d13293dcff98cf"
"sha": "df13dea64baaa1b7031b25d1b2f380756131efec"
},
"homepage": "https://github.com/aws/agent-toolkit-for-aws"
},
@@ -365,7 +351,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/aws-serverless",
"ref": "main",
"sha": "b13ce7f008c52be10c3fcccce25d64ec614e76be"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -381,7 +367,7 @@
"url": "https://github.com/awslabs/startups.git",
"path": "advisor/plugins/aws-startup-advisor",
"ref": "main",
"sha": "3c5d6a7deb24c3318be8b78ef75545539ab1bbcd"
"sha": "30808e64b08ba13aedcecade5a27bfbff06dba09"
},
"homepage": "https://github.com/awslabs/startups"
},
@@ -392,7 +378,7 @@
"source": {
"source": "url",
"url": "https://github.com/microsoft/azure-skills.git",
"sha": "966330ee4fc61978b6e324993687e917125a1f36"
"sha": "58fd90942ab5045481bf1632fa0c2d7746367e13"
},
"homepage": "https://github.com/microsoft/azure-skills"
},
@@ -434,20 +420,6 @@
},
"homepage": "https://docs.bigdata.com"
},
{
"name": "bigquery-data-analytics",
"description": "Connect, query, and generate data insights for BigQuery datasets and data.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/bigquery-data-analytics.git",
"sha": "9cee2a03105d74648231ed3a5c4a63c4f194790d"
},
"homepage": "https://github.com/gemini-cli-extensions/bigquery-data-analytics"
},
{
"name": "box",
"description": "Work with your Box content directly from Claude Code — search files, organize folders, collaborate with your team, and use Box AI to answer questions, summarize documents, and extract data without leaving your workflow.",
@@ -472,7 +444,7 @@
"source": {
"source": "url",
"url": "https://github.com/brightdata/skills.git",
"sha": "bd5bd76bc889f54b744bab3db3cbd42751a1e5b0"
"sha": "68651246ad1819b98a1fc15ce10239e55406ff37"
},
"homepage": "https://docs.brightdata.com"
},
@@ -502,7 +474,7 @@
"url": "https://github.com/carta/plugins.git",
"path": "plugins/carta-cap-table",
"ref": "main",
"sha": "4b60ca6616ce614dacb306c2e3433aeca6ce3b5b"
"sha": "ea02da68e7be8bf4bc2bffe8f1fd7253f8d0b101"
},
"homepage": "https://carta.com"
},
@@ -518,7 +490,7 @@
"url": "https://github.com/carta/plugins.git",
"path": "plugins/carta-crm",
"ref": "main",
"sha": "4b60ca6616ce614dacb306c2e3433aeca6ce3b5b"
"sha": "ea02da68e7be8bf4bc2bffe8f1fd7253f8d0b101"
},
"homepage": "https://carta.com"
},
@@ -534,7 +506,7 @@
"url": "https://github.com/carta/plugins.git",
"path": "plugins/carta-investors",
"ref": "main",
"sha": "4b60ca6616ce614dacb306c2e3433aeca6ce3b5b"
"sha": "ea02da68e7be8bf4bc2bffe8f1fd7253f8d0b101"
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"homepage": "https://carta.com"
},
@@ -561,7 +533,7 @@
"source": {
"source": "url",
"url": "https://github.com/ChromeDevTools/chrome-devtools-mcp.git",
"sha": "4f8eb7ad6beecc58f56ec383f9ff43549a5604d4"
"sha": "89718901174be7c0c58a1a2b29281ab2f053cd53"
},
"homepage": "https://github.com/ChromeDevTools/chrome-devtools-mcp"
},
@@ -655,7 +627,7 @@
"source": {
"source": "url",
"url": "https://github.com/ClickHouse/clickhouse-claude-code-plugin.git",
"sha": "ecbd47627d7e7b3de15b297b91e0abf3e6ebc746"
"sha": "1f30864b720960a797e5c7f6138d328bec3984cb"
},
"homepage": "https://github.com/ClickHouse/clickhouse-claude-code-plugin"
},
@@ -669,24 +641,10 @@
"source": {
"source": "url",
"url": "https://github.com/ClickHouse/agent-skills.git",
"sha": "544384f4fab1d6ed59f16a354d1c68296dfa6007"
"sha": "46ef08ccf32fa28587b64e0c79106ff437dc8fcb"
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{
"name": "cloud-sql-mysql",
"description": "Connect and interact with a Cloud SQL for MySQL database and data.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/cloud-sql-mysql.git",
"sha": "983c804fe7dc58b3e58021960e7e1831a10e08b9"
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"homepage": "https://github.com/gemini-cli-extensions/cloud-sql-mysql"
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{
"name": "cloud-sql-postgresql",
"description": "Create, connect, and interact with a Cloud SQL for PostgreSQL database and data.",
@@ -701,26 +659,12 @@
},
"homepage": "https://cloud.google.com/sql"
},
{
"name": "cloud-sql-sqlserver",
"description": "Connect to Cloud SQL for SQL Server",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
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{
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"sha": "60147cbb773649eadca89cee92b4e0caf02234b4"
},
"description": "Skills for the Cloudflare developer platform: Workers, Durable Objects, Agents SDK, MCP servers, Wrangler CLI, and web performance.",
"category": "deployment",
@@ -752,7 +696,7 @@
},
{
"name": "code-modernization",
"description": "Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured preflight / assess / map / extract-rules / brief / reimagine / transform / harden workflow, an interactive topology viewer, and specialist review agents",
"description": "Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured assess / map / extract-rules / reimagine / transform / harden workflow and specialist review agents",
"author": {
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"email": "support@anthropic.com"
@@ -804,7 +748,7 @@
"source": {
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@@ -872,7 +816,7 @@
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"sha": "0a651a1472e4c03603780517374c654236bcce8b"
"sha": "b3f4ecb48333d6007117a29650daa1989a228b5c"
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"homepage": "https://github.com/CrowdStrike/foundry-skills"
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@@ -918,7 +862,7 @@
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@@ -929,7 +873,7 @@
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"url": "https://github.com/astronomer/agents.git",
"sha": "789b4544b85a989694501e4f405b522f2d711cf6"
"sha": "7ce4a12d3cabb506294134c91a1b876d4b166a70"
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"homepage": "https://github.com/astronomer/agents"
},
@@ -943,7 +887,7 @@
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack.git",
"sha": "c125eaea039b9440b306b428ee2068d79123ddb7"
"sha": "fb9086456d5fbc780edf86f0ac413345ba628173"
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"homepage": "https://github.com/gemini-cli-extensions/data-agent-kit-starter-pack"
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@@ -953,7 +897,7 @@
"source": {
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"url": "https://github.com/astronomer/agents.git",
"sha": "789b4544b85a989694501e4f405b522f2d711cf6"
"sha": "7ce4a12d3cabb506294134c91a1b876d4b166a70"
},
"homepage": "https://github.com/astronomer/agents"
},
@@ -966,7 +910,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/databases-on-aws",
"ref": "main",
"sha": "b13ce7f008c52be10c3fcccce25d64ec614e76be"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -1008,7 +952,7 @@
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/dataproc.git",
"sha": "80d126d27d84ded752c84668472dd6f75896fc59"
"sha": "20eec06eee7683311689f4a1437cbb14ac8cd33e"
},
"homepage": "https://github.com/gemini-cli-extensions/dataproc"
},
@@ -1022,7 +966,7 @@
"source": {
"source": "url",
"url": "https://github.com/datarobot-oss/datarobot-agent-skills.git",
"sha": "ec2ecdd49d54ef490b344a850cff1feb1230c409"
"sha": "90a33c0c87362f28be88c14c0ef0f3469e6d2596"
},
"homepage": "https://datarobot.com"
},
@@ -1035,7 +979,7 @@
"url": "https://github.com/microsoft/Dataverse-skills.git",
"path": ".github/plugins/dataverse",
"ref": "main",
"sha": "2c37394346be1afc1db12cc5b89f5dee3617c45c"
"sha": "ab906c960db0f2da83c2cb92a3fd162ccaba9cb9"
},
"homepage": "https://github.com/microsoft/Dataverse-skills"
},
@@ -1048,7 +992,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/deploy-on-aws",
"ref": "main",
"sha": "b13ce7f008c52be10c3fcccce25d64ec614e76be"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -1064,7 +1008,7 @@
"url": "https://github.com/wonderwhy-er/DesktopCommanderMCP.git",
"path": "plugins/claude",
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"sha": "7a9b2ff0339a7fdc29c06a9957b323ef478a1dde"
"sha": "cf857bf061cb3b0e8673717dcac1f0fa2ecbdd40"
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},
@@ -1126,7 +1070,7 @@
"source": {
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"sha": "ad888a188cdefbe832c9feed2c3a97d1cb93cb35"
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"homepage": "https://exa.ai/docs/reference/exa-mcp"
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@@ -1150,7 +1094,7 @@
"url": "https://github.com/expo/skills.git",
"path": "plugins/expo",
"ref": "main",
"sha": "c38860242118df93d4ec4381a34f4144fff61928"
"sha": "fdd3df12151a208853fe540ffea9a67773446377"
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},
@@ -1166,7 +1110,7 @@
"source": {
"source": "url",
"url": "https://github.com/fastly/fastly-agent-toolkit.git",
"sha": "73af5b94a98448ffeed6e2993495dc83c9a597be"
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"homepage": "https://github.com/fastly/fastly-agent-toolkit/blob/main/README.md"
},
@@ -1198,7 +1142,7 @@
"source": {
"source": "url",
"url": "https://github.com/figma/mcp-server-guide.git",
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"sha": "a742f0a700a7772ff5ed85f7c9fc1dad5afa9fcc"
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@@ -1216,24 +1160,10 @@
"source": {
"source": "url",
"url": "https://github.com/firecrawl/firecrawl-claude-plugin.git",
"sha": "b33447585ac521b091eae672bd4cad4ec1d093f6"
"sha": "6768fb78185aab9e5b5a04777f84703863fb025b"
},
"homepage": "https://github.com/firecrawl/firecrawl-claude-plugin.git"
},
{
"name": "firestore-native",
"description": "Connect and interact with Firestore databases, collections, and documents.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/firestore-native.git",
"sha": "f88103bd0ccfe9e1e7a3a7d849de26d197978c9a"
},
"homepage": "https://github.com/gemini-cli-extensions/firestore-native"
},
{
"name": "forge-skills",
"description": "Forge-focused skills and MCP configuration for Atlassian Forge: scaffold and deploy apps (forge create, templates, dev spaces), build Teamwork Graph connectors for Rovo Search/Rovo Chat, pre-deploy review, systematic debugging, plus Forge docs and Atlassian Design System lookups via MCP.",
@@ -1244,7 +1174,7 @@
"source": {
"source": "url",
"url": "https://github.com/atlassian/forge-skills.git",
"sha": "c7df956176eb1c2a10ffabc4eaacc5d843d8bede"
"sha": "2014fae5b1529a22629129b1564ae522593eb46d"
},
"homepage": "https://developer.atlassian.com/platform/forge/"
},
@@ -1270,7 +1200,7 @@
"source": "github",
"repo": "fullstorydev/fullstory-skills",
"commit": "1ec5865e7ab1449f9a0859d164c4b6a8c53b6e2f",
"sha": "b20614e2d08d7a7c70775bb62b5af640f60b024b"
"sha": "384555c3919a0631a096de1172998c8d855a0f26"
},
"homepage": "https://www.fullstory.com"
},
@@ -1333,7 +1263,7 @@
"source": {
"source": "url",
"url": "https://github.com/huggingface/skills.git",
"sha": "d7223848c3895fbd447faf2aec73e0a6cdd7fdcd"
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"homepage": "https://github.com/huggingface/skills.git"
},
@@ -1347,7 +1277,7 @@
"source": {
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"url": "https://github.com/hunter-io/claude-plugin.git",
"sha": "06bcb94a4e6498d8557a4543f8d5c4ea429b0c0a"
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"homepage": "https://hunter.io"
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@@ -1361,7 +1291,7 @@
"source": {
"source": "url",
"url": "https://github.com/heygen-com/hyperframes.git",
"sha": "81416ab3c9b04ca87d399e9b558ec7227b7d641c"
"sha": "8228932e17e3371d5cf77ac5d5988f5322892dad"
},
"homepage": "https://hyperframes.heygen.com"
},
@@ -1415,24 +1345,10 @@
"source": "github",
"repo": "jfrog/claude-plugin",
"commit": "259c8e718266c16e99b4f30ae9b1ed0f9f00d98d",
"sha": "6788fe15d4a63d47f038c05e58ae533aeb2dadb6"
"sha": "8324c7fc9a5561398fe57b8a56db53bdbf1e2cda"
},
"homepage": "https://jfrog.com"
},
{
"name": "knowledge-catalog",
"description": "Connect to Knowledge Catalog to discover, manage, monitor, and govern data and AI artifacts across your data platform",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/knowledge-catalog.git",
"sha": "317e96fdd12aa61778b950192aff627efdc21099"
},
"homepage": "https://github.com/gemini-cli-extensions/knowledge-catalog"
},
{
"name": "kotlin-lsp",
"description": "Kotlin language server for code intelligence",
@@ -1540,24 +1456,10 @@
"url": "https://github.com/pydantic/skills.git",
"path": "plugins/logfire",
"ref": "main",
"sha": "ddc7d00569458f3838c6cf489f5be6c59afaf8c1"
"sha": "e412b6d8d4b6199ac577c5ee8653dcff840b3e92"
},
"homepage": "https://github.com/pydantic/skills/tree/main/plugins/logfire"
},
{
"name": "looker",
"description": "Connect to Looker and interact with your data using LookML.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/looker.git",
"sha": "e912c0342f1bfd436e9236aaef7cc732239c80f7"
},
"homepage": "https://github.com/gemini-cli-extensions/looker"
},
{
"name": "lua-lsp",
"description": "Lua language server for code intelligence",
@@ -1643,7 +1545,7 @@
"url": "https://github.com/modelcontextprotocol/ext-apps.git",
"path": "plugins/mcp-apps",
"ref": "main",
"sha": "ca1d29894fabbd1558885a9ec8620dcb01d7457e"
"sha": "a9907802937f1da067cbc4aa48b283cd4cfa7dc8"
},
"homepage": "https://modelcontextprotocol.io"
},
@@ -1708,7 +1610,7 @@
"url": "https://github.com/awslabs/startups.git",
"path": "migrate/plugins/migration-to-aws",
"ref": "main",
"sha": "3c5d6a7deb24c3318be8b78ef75545539ab1bbcd"
"sha": "30808e64b08ba13aedcecade5a27bfbff06dba09"
},
"homepage": "https://github.com/awslabs/startups"
},
@@ -1759,7 +1661,7 @@
"url": "https://github.com/neondatabase/agent-skills.git",
"path": "plugins/neon-postgres",
"ref": "main",
"sha": "9695a225d56ea55569a8b3a0b7294fb01c23b4ff"
"sha": "bd9ec7ff273ce54bdd3ebe581d5b0802a3479618"
},
"homepage": "https://github.com/neondatabase/agent-skills/tree/main/plugins/neon-postgres"
},
@@ -1770,7 +1672,7 @@
"source": {
"source": "url",
"url": "https://github.com/netlify/context-and-tools.git",
"sha": "22025ef6c9dc9ef88d0c9c047980c10cacb178ee"
"sha": "cffaf74f79128620b8200956222aeb819f5f8fd5"
},
"homepage": "https://github.com/netlify/context-and-tools"
},
@@ -1839,7 +1741,7 @@
"url": "https://github.com/NVIDIA/skills.git",
"path": "plugins/nvidia-skills",
"ref": "main",
"sha": "24806dbdb4f45b9d8c476c0e7a9b223b8c9e7197"
"sha": "e695a8397463bbb64d787b3cd88d3c58889be633"
},
"homepage": "https://github.com/NVIDIA/skills"
},
@@ -1855,24 +1757,10 @@
"url": "https://github.com/oracle-samples/oracle-aidp-samples.git",
"path": "ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors",
"ref": "main",
"sha": "00cedef34c99d642d969f87965736768de01cbd6"
"sha": "dcd5a5a19537bf9aaa9dd4f48514bc4402bfbc40"
},
"homepage": "https://docs.oracle.com/en/cloud/paas/ai-data-platform/index.html"
},
{
"name": "oracledb",
"description": "Connect, query, and interact with Oracle Databases and their data.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/oracledb.git",
"sha": "56239109760fd8ea838a56c946400347467bfa6d"
},
"homepage": "https://github.com/gemini-cli-extensions/oracledb"
},
{
"name": "outputai",
"description": "Output.ai workflow development toolkit for Claude Code. Adds 5 specialist agents (planner, builder, debugger, prompt writer, quality reviewer), 40+ slash-command skills covering scaffolding, debugging, evaluation, and credential management, plus a SessionStart hook that auto-loads Output SDK conventions so Claude understands the framework before the first prompt.",
@@ -1885,7 +1773,7 @@
"url": "https://github.com/growthxai/output.git",
"path": "coding_assistants/claude/plugins/outputai",
"ref": "main",
"sha": "83742db514fc4ab1d18b1277cd9cc1e28a95e732"
"sha": "d3c9b1f472358527386f7cc2bb6d4833d9bfe034"
},
"homepage": "https://output.ai"
},
@@ -1933,7 +1821,7 @@
"source": {
"source": "url",
"url": "https://github.com/gopigment/ai-plugins.git",
"sha": "f7bb2190a3f072bd9be5175bde6a0aa9596fcaaa"
"sha": "abf36e64750d1323a4cc5fe79161597668231224"
},
"homepage": "https://www.pigment.com"
},
@@ -1995,7 +1883,7 @@
"source": {
"source": "url",
"url": "https://github.com/PostHog/ai-plugin.git",
"sha": "db4a86632293ca66eec9a6d278786ddb22c1787e"
"sha": "a487311487bc369ee75e70c893d0a0c5ed478ba8"
},
"homepage": "https://posthog.com/docs/model-context-protocol"
},
@@ -2050,7 +1938,7 @@
"url": "https://github.com/pydantic/skills.git",
"path": "plugins/ai",
"ref": "main",
"sha": "ddc7d00569458f3838c6cf489f5be6c59afaf8c1"
"sha": "e412b6d8d4b6199ac577c5ee8653dcff840b3e92"
},
"homepage": "https://github.com/pydantic/skills/tree/main/plugins/ai"
},
@@ -2088,7 +1976,7 @@
"source": {
"source": "url",
"url": "https://github.com/qdrant/skills.git",
"sha": "0814a0875db7a31bf29e46821668ef1b07f9f696"
"sha": "cace39df5cc46f7f0c192ced7391d767749142a0"
},
"homepage": "https://skills.qdrant.tech"
},
@@ -2127,7 +2015,7 @@
"source": {
"source": "url",
"url": "https://github.com/quarkusio/quarkus-agent-mcp.git",
"sha": "f5c0dd4c4387531a1d5fcc2717030f2c5f41db85"
"sha": "01847d5d2eca02bc5751cce18deb41ad76a7a873"
},
"homepage": "https://quarkus.io"
},
@@ -2140,7 +2028,7 @@
"url": "https://github.com/railwayapp/railway-skills.git",
"path": "plugins/railway",
"ref": "main",
"sha": "72299c62ad19a5b1e7646262f3ba9cdd96d6e2a3"
"sha": "831130cda8a659e8c47addd28be2744e9e67d31c"
},
"homepage": "https://docs.railway.com/ai/claude-code-plugin"
},
@@ -2163,7 +2051,7 @@
"source": "url",
"url": "https://github.com/RevenueCat/rc-claude-code-plugin.git",
"path": "revenuecat",
"sha": "473fd504bf13d25e76bf4a0267b42be3794f6266"
"sha": "b34f9bebe02ceb7e3f32e6d7d081cdfb2e7c37a6"
},
"homepage": "https://www.revenuecat.com"
},
@@ -2203,7 +2091,7 @@
"source": {
"source": "url",
"url": "https://github.com/resend/resend-skills.git",
"sha": "0888546d6a69149c8d2402d46f395f5dddb1c720"
"sha": "0f598ef55623e37a76f972e93a53ffa91c1dc9d1"
},
"homepage": "https://resend.com"
},
@@ -2215,7 +2103,7 @@
"source": "url",
"url": "https://github.com/RevenueCat/rc-claude-code-plugin.git",
"path": "revenuecat",
"sha": "473fd504bf13d25e76bf4a0267b42be3794f6266"
"sha": "b34f9bebe02ceb7e3f32e6d7d081cdfb2e7c37a6"
},
"homepage": "https://www.revenuecat.com"
},
@@ -2300,7 +2188,7 @@
"url": "https://github.com/awslabs/agent-plugins.git",
"path": "plugins/sagemaker-ai",
"ref": "main",
"sha": "d8243e5f8f3933d656b3bdfe09cd658a5d9b9fac"
"sha": "fc54dfa24a1f05095b9fcbb4baa4750996bb171d"
},
"homepage": "https://github.com/awslabs/agent-plugins"
},
@@ -2314,7 +2202,7 @@
"source": {
"source": "url",
"url": "https://github.com/sanity-io/agent-toolkit.git",
"sha": "66f0ec5d9167b3ccb8b3450e5ec34f3b523d4139"
"sha": "7e04973754975e73b306b1d4dbae561160d797e9"
},
"homepage": "https://www.sanity.io"
},
@@ -2348,7 +2236,7 @@
"url": "https://github.com/SAP/open-ux-tools.git",
"path": "packages/fiori-mcp-server",
"ref": "main",
"sha": "81b88637563446eb747ac93a31b8b3faee44a78d"
"sha": "b326a9a52b1da51effed574587e31fe5a2755b96"
},
"homepage": "https://github.com/SAP/open-ux-tools/tree/main/packages/fiori-mcp-server"
},
@@ -2380,7 +2268,7 @@
"url": "https://github.com/spotify/save-to-spotify.git",
"path": "plugin",
"ref": "main",
"sha": "cd4ea68111d96769b09c0b0d2199e692cf00a73c"
"sha": "35527660378c769bcbcfba89d8086d8b9fc4fccb"
},
"homepage": "https://github.com/spotify/save-to-spotify"
},
@@ -2415,7 +2303,7 @@
"source": {
"source": "url",
"url": "https://github.com/getsentry/sentry-for-claude.git",
"sha": "9780bfc111f97b359893169e79c33d1e393891e5"
"sha": "849303a8411c242d250885ffe714235a3bc2f5fe"
},
"homepage": "https://github.com/getsentry/sentry-for-claude/tree/main"
},
@@ -2431,7 +2319,7 @@
"url": "https://github.com/getsentry/cli.git",
"path": "plugins/sentry-cli",
"ref": "main",
"sha": "18111b95ac8819d58e4f0334d4b8ee8f72513d1e"
"sha": "5b78ddaf28252cb514007526025b138569445fd4"
},
"homepage": "https://sentry.io"
},
@@ -2496,7 +2384,7 @@
"source": {
"source": "url",
"url": "https://github.com/Shopify/Shopify-AI-Toolkit.git",
"sha": "a8e87a7cff153479eb77230d9c232484a1f3062f"
"sha": "859be93bfc858f183ff5eb40183e35a4d91d2950"
},
"homepage": "https://shopify.dev"
},
@@ -2534,7 +2422,7 @@
"url": "https://github.com/Snowflake-Labs/snowflake-ai-kit.git",
"path": "plugins/cortex-code",
"ref": "main",
"sha": "7d2c7e7e0788e255019a64a8690aa5f85d073a2c"
"sha": "c3f720020a3b6c8927f97362c2e5884e959acd53"
},
"homepage": "https://docs.snowflake.com/en/user-guide/cortex-code"
},
@@ -2548,7 +2436,7 @@
"source": {
"source": "url",
"url": "https://github.com/SonarSource/sonarqube-agent-plugins.git",
"sha": "8c46904b2c21eb98d827c185e15ef5f6dd820312"
"sha": "712b93281f4e67c16ed9b81dde090e1f73f8bfc8"
},
"homepage": "https://www.sonarsource.com"
},
@@ -2574,20 +2462,6 @@
},
"homepage": "https://sourcegraph.com"
},
{
"name": "spanner",
"description": "Connect and interact with Spanner data using natural language.",
"author": {
"name": "Google LLC"
},
"category": "database",
"source": {
"source": "url",
"url": "https://github.com/gemini-cli-extensions/spanner.git",
"sha": "d4678e2bc04f60f3dfcdb6b916df28e63a0d615f"
},
"homepage": "https://github.com/gemini-cli-extensions/spanner"
},
{
"name": "spotify-ads-api",
"description": "Manage Spotify ad campaigns with natural language. Create campaigns, ad sets, ads, pull reports, and handle OAuth — all through conversation.",
@@ -2608,7 +2482,7 @@
"url": "https://github.com/stripe/ai.git",
"path": "providers/claude/plugin",
"ref": "main",
"sha": "d076d0558c3b3d86149c2dddc84054fe9c6dd3e0"
"sha": "e27ee0091ed20f7557f3241e00ade3d4846af9d6"
},
"homepage": "https://github.com/stripe/ai/tree/main/providers/claude/plugin"
},
@@ -2620,7 +2494,7 @@
"source": "url",
"url": "https://github.com/sumup/sumup-skills.git",
"path": "providers/claude/plugin",
"sha": "5b9b2d72c63fefd9038db0a9c571d3d64ff6353c"
"sha": "715464b459def2d16e930e9ec8008f60e18a8b4d"
},
"homepage": "https://www.sumup.com/"
},
@@ -2631,7 +2505,7 @@
"source": {
"source": "url",
"url": "https://github.com/supabase-community/supabase-plugin.git",
"sha": "2ed49769b1ec2f6703a14290af484df651336150"
"sha": "3217ac038647f6901a166f3264a32f01833f73ba"
},
"homepage": "https://github.com/supabase-community/supabase-plugin"
},
@@ -2676,7 +2550,7 @@
"source": {
"source": "url",
"url": "https://github.com/JetBrains/teamcity-cli.git",
"sha": "67e21f0be908daa7ca1e04c8016d1bc81750baee"
"sha": "3cc3013c0f8106ffc845b34fb322d763803bcb0e"
},
"homepage": "https://www.jetbrains.com/teamcity/"
},
@@ -2707,7 +2581,7 @@
"source": {
"source": "url",
"url": "https://github.com/togethercomputer/skills.git",
"sha": "8aa08ca126a50d5e76f6d378f47386cee4267984"
"sha": "9772f2a2f83e2184c341dd2650ac4c7efb76c33b"
},
"homepage": "https://www.together.ai"
},
@@ -2769,7 +2643,7 @@
"url": "https://github.com/UI5/plugins-coding-agents.git",
"path": "plugins/ui5",
"ref": "main",
"sha": "6d72751f0b2983c379aaa457fe4c7cf4a075a66d"
"sha": "767ac53cb056a0c900374ccea0df96c54b769eb2"
},
"homepage": "https://github.com/UI5/plugins-coding-agents"
},
@@ -2787,7 +2661,7 @@
"url": "https://github.com/UI5/plugins-coding-agents.git",
"path": "plugins/ui5-typescript-conversion",
"ref": "main",
"sha": "6d72751f0b2983c379aaa457fe4c7cf4a075a66d"
"sha": "767ac53cb056a0c900374ccea0df96c54b769eb2"
},
"homepage": "https://github.com/UI5/plugins-coding-agents"
},
@@ -2803,7 +2677,7 @@
"url": "https://github.com/val-town/plugins.git",
"path": "plugin",
"ref": "main",
"sha": "02631f998eda9b88d73d699703b062db059d506b"
"sha": "e01069e11ea6e46b8d2d5fd2945f2dd4d33e6a57"
},
"homepage": "https://val.town"
},
@@ -2856,7 +2730,7 @@
"source": {
"source": "url",
"url": "https://github.com/explorium-ai/vibeprospecting-plugin.git",
"sha": "aa5903f52d79e7f2a5f9c324c6fff7d5a5d92631"
"sha": "7ed0c4e2965ee315132c3c714609b46b23b5edc0"
},
"homepage": "https://www.vibeprospecting.ai/product/claude-plugin"
},
@@ -2881,7 +2755,7 @@
"source": {
"source": "url",
"url": "https://github.com/wix/skills.git",
"sha": "cda44c29c9155f6e7b3440f953969721aed246be"
"sha": "f99715fc149208608a148c0fe0ed16c0f80ee734"
},
"homepage": "https://dev.wix.com/docs/wix-cli/guides/development/about-wix-skills"
},
@@ -2907,7 +2781,7 @@
"url": "https://github.com/workos/skills.git",
"path": "plugins/workos",
"ref": "main",
"sha": "2c3acef61ea29296cb6e73e0c59fb5e98f0b1847"
"sha": "e8900cc504fd759407d1a963d13f59383fa39ebc"
},
"homepage": "https://workos.com"
},
@@ -2934,7 +2808,7 @@
"url": "https://github.com/zapier/zapier-mcp.git",
"path": "plugins/zapier",
"ref": "main",
"sha": "770167c572deaf74c588b45d88003ddf2145d608"
"sha": "f34a7854febed415c9ef766eec1c66529ef0668e"
},
"homepage": "https://github.com/zapier/zapier-mcp/tree/main/plugins/zapier"
},
@@ -2988,7 +2862,7 @@
"source": {
"source": "url",
"url": "https://github.com/zscaler/zscaler-mcp-server.git",
"sha": "f84ce4f0ed48047614a4202ac311cbdf00ea9a10"
"sha": "be37fb604a07dc9c5a4c3e009312c4f11acaa6d3"
},
"homepage": "https://github.com/zscaler/zscaler-mcp-server"
}

View File

@@ -1,6 +1,6 @@
{
"name": "code-modernization",
"description": "Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured preflight / assess / map / extract-rules / brief / reimagine / transform / harden workflow, an interactive topology viewer, and specialist review agents",
"description": "Modernize legacy codebases (COBOL, legacy Java/C++, monolith web apps) with a structured assess map extract-rules brief reimagine/transform harden workflow and specialist review agents",
"author": {
"name": "Anthropic",
"email": "support@anthropic.com"

View File

@@ -7,7 +7,7 @@ A structured workflow and set of specialist agents for modernizing legacy codeba
Legacy modernization fails most often not because the target technology is wrong, but because teams skip steps: they transform code before understanding it, reimagine architecture before extracting business rules, or ship without a harness that would catch behavior drift. This plugin enforces a sequence:
```
preflight → assess → map → extract-rules → brief → reimagine | transform → harden
assess → map → extract-rules → brief → reimagine | transform → harden
```
The discovery commands (`assess`, `map`, `extract-rules`) build artifacts under `analysis/<system>/`. The `brief` command synthesizes them into an approval gate. The build commands (`reimagine`, `transform`) write new code under `modernized/`. The `harden` command audits the legacy system and produces a reviewable remediation patch. Each step has a dedicated slash command, and specialist agents (legacy analyst, business rules extractor, architecture critic, security auditor, test engineer) are invoked from within those commands — or directly — to keep the work honest.
@@ -20,40 +20,25 @@ Commands take a `<system-dir>` argument and assume the system being modernized l
mkdir -p legacy && ln -s /path/to/your/legacy/codebase legacy/billing
```
## What to give Claude
## Optional tooling
The commands degrade gracefully, but each of these makes the output meaningfully better — run `/modernize-preflight <system-dir>` to check all of them at once and get a readiness report:
- **Analysis tools**: [`scc`](https://github.com/boyter/scc) (LOC + complexity + COCOMO) or [`cloc`](https://github.com/AlDanial/cloc); [`lizard`](https://github.com/terryyin/lizard) for portfolio mode. Without them, metrics fall back to `find`/`wc` and get coarser.
- **A working build toolchain** for the legacy stack (e.g. GnuCOBOL for COBOL) — required before `/modernize-transform` can prove behavioral equivalence, and verified by preflight with a real smoke compile against your code.
- **The whole system in the tree**: deployment descriptors (JCL, CICS definitions, route configs), copybooks/includes, and DDL/schemas. Entry-point detection and data lineage in `/modernize-map` are guesswork without them.
- **Production telemetry** (optional): an observability MCP server or batch job logs enable the runtime overlay in `/modernize-assess` and timing annotations on critical paths.
## Secret handling
Legacy systems routinely contain live credentials, and assessment artifacts get committed and shared. **Every agent in this plugin masks credential values** — findings, rule-card parameters, architecture notes, and test fixtures cite `file:line` with a masked preview (`AKIA****`), never the value. When credentials are found, a per-credential inventory (type, location, blast radius, rotation recommendation) is written to `analysis/<system>/SECRETS.local.md`, which the commands gitignore before writing; on non-git projects the quarantine file goes to `~/.modernize/<system>/` instead. `/modernize-harden` splits its remediation diff so credential-removal hunks (which necessarily contain the raw value) land in a gitignored `security_remediation.local.patch`, never the shareable patch. Pass `--show-secrets` to include raw values in the quarantine file (and only there). If you ran an earlier version of this plugin on a real system, check whether `analysis/` artifacts containing credentials were committed or shared, and rotate anything that was.
`/modernize-assess` works best with [`scc`](https://github.com/boyter/scc) (LOC + complexity + COCOMO) or [`cloc`](https://github.com/AlDanial/cloc), and falls back to `find`/`wc` if neither is installed. Portfolio mode also benefits from [`lizard`](https://github.com/terryyin/lizard) (cyclomatic complexity). The commands degrade gracefully without them, but the metrics will be coarser.
## Commands
The commands are designed to be run in order, but each produces a standalone artifact so you can stop, review, and resume.
### `/modernize-preflight <system-dir> [target-stack]`
Environment readiness check, meant to run first: detects the legacy stack, checks analysis tooling, **smoke-compiles a real source file** with the legacy toolchain (the errors this surfaces — missing copybooks, wrong dialect flags — are the ones that otherwise appear mid-transform), inventories missing includes / deployment descriptors / binary-only artifacts, and probes for telemetry. Produces `analysis/<system>/PREFLIGHT.md` with a per-command Ready / Ready-with-gaps / Not-ready verdict.
### `/modernize-assess <system-dir>` — or — `/modernize-assess --portfolio <parent-dir>`
Inventory the legacy codebase: languages, line counts, complexity, build system, integrations, technical debt, security posture, documentation gaps, and a COCOMO-derived effort estimate. Produces `analysis/<system>/ASSESSMENT.md` and `analysis/<system>/ARCHITECTURE.mmd`. Spawns `legacy-analyst` (×2) and `security-auditor` in parallel for deep reads. With `--portfolio`, sweeps every subdirectory of a parent directory and writes a sequencing heat-map to `analysis/portfolio.html`.
### `/modernize-map <system-dir>`
![Interactive topology map of AWS CardDemo — domains as containers, modules sized by lines of code, dependency edges colored by kind, entry points ringed](assets/topology-viewer-screenshot.jpg)
Build a dependency and topology map of the **legacy** system: program/module call graph, data lineage (programs ↔ data stores), entry points, dead-end candidates, and 24 traced business flows each anchored to a persona (the claimant, the operator, the auditor — not the maintainer). Writes a re-runnable extraction script and produces `analysis/<system>/topology.json` plus `analysis/<system>/TOPOLOGY.html` — an **interactive zoomable map** (circle-pack of domains/modules sized by LOC, dependency edges with per-kind toggles, search, click-for-details sidebar, and a walkthrough mode that plays each persona flow as a numbered path with a plain-language narrative). Built from a template shipped with the plugin, so it works on systems far too dense for a static diagram. Small domain-level `call-graph.mmd`, `data-lineage.mmd`, and `critical-path.mmd` are still exported for docs and PRs.
Build a dependency and topology map of the **legacy** system: program/module call graph, data lineage (programs ↔ data stores), entry points, dead-end candidates, and one traced critical-path business flow. Writes a re-runnable extraction script and produces `analysis/<system>/topology.json` (machine-readable), `analysis/<system>/TOPOLOGY.html` (rendered Mermaid + architect observations), and standalone `call-graph.mmd`, `data-lineage.mmd`, and `critical-path.mmd`.
### `/modernize-extract-rules <system-dir> [module-pattern]`
Mine the business rules embedded in the legacy code — calculations, validations, eligibility, state transitions, policies — into Given/When/Then "Rule Cards" with `file:line` citations and confidence ratings. Spawns three `business-rules-extractor` agents in parallel (calculations, validations, lifecycle). Produces `analysis/<system>/BUSINESS_RULES.md` and `analysis/<system>/DATA_OBJECTS.md`.
### `/modernize-brief <system-dir> [target-stack]`
Synthesize the discovery artifacts into a phased **Modernization Brief** — the single document a steering committee approves and engineering executes: target architecture, strangler-fig phase plan with entry/exit criteria, persona-based business walkthroughs (the section non-technical approvers actually read), behavior contract, validation strategy, open questions, and an approval block. Reads `ASSESSMENT.md`, `TOPOLOGY.html`, and `BUSINESS_RULES.md` and **stops if any are missing** — run the discovery commands first. Produces `analysis/<system>/MODERNIZATION_BRIEF.md` and enters plan mode as a human-in-the-loop gate.
Synthesize the discovery artifacts into a phased **Modernization Brief** — the single document a steering committee approves and engineering executes: target architecture, strangler-fig phase plan with entry/exit criteria, behavior contract, validation strategy, open questions, and an approval block. Reads `ASSESSMENT.md`, `TOPOLOGY.html`, and `BUSINESS_RULES.md` and **stops if any are missing** — run the discovery commands first. Produces `analysis/<system>/MODERNIZATION_BRIEF.md` and enters plan mode as a human-in-the-loop gate.
### `/modernize-reimagine <system-dir> <target-vision>`
Greenfield rebuild from extracted intent rather than a structural port. Mines a spec (`analysis/<system>/AI_NATIVE_SPEC.md`), designs a target architecture and has it adversarially reviewed (`analysis/<system>/REIMAGINED_ARCHITECTURE.md`), then **scaffolds services with executable acceptance tests** under `modernized/<system>-reimagined/` and writes a `CLAUDE.md` knowledge handoff for the new system. Two human-in-the-loop checkpoints. Spawns `business-rules-extractor`, `legacy-analyst` (×2), `architecture-critic`, and general-purpose scaffolding agents.
@@ -61,9 +46,6 @@ Greenfield rebuild from extracted intent rather than a structural port. Mines a
### `/modernize-transform <system-dir> <module> <target-stack>`
Surgical, single-module strangler-fig rewrite. Plans first (HITL gate), then writes characterization tests via `test-engineer`, then an idiomatic target implementation under `modernized/<system>/<module>/`, proves equivalence by running the tests, and produces `TRANSFORMATION_NOTES.md` mapping legacy → modern with deliberate deviations called out. Reviewed by `architecture-critic`.
### `/modernize-status <system-dir>`
Read-only progress report: artifact inventory with timestamps per workflow stage, staleness flags (e.g. a brief older than the assessment it was built from), secrets-hygiene checks (quarantine file gitignored and never committed), and the single most useful next command. Run it anytime you come back to a modernization after a break.
### `/modernize-harden <system-dir>`
Security hardening pass on the **legacy** system: OWASP/CWE scan, dependency CVEs, secrets, injection. Spawns `security-auditor`. Produces `analysis/<system>/SECURITY_FINDINGS.md` ranked Critical / High / Medium / Low and a reviewed `analysis/<system>/security_remediation.patch` with minimal fixes for the Critical/High findings. The patch is reviewed by a second `security-auditor` pass before you see it. **Never edits `legacy/`** — you review and apply the patch yourself when ready, then re-run to verify. Useful as a pre-modernization step when the legacy system will keep running in production during the migration.
@@ -99,21 +81,17 @@ This plugin ships commands and agents, but modernization projects benefit from a
"Edit(modernized/**)"
],
"deny": [
"Edit(legacy/**)",
"Write(legacy/**)"
"Edit(legacy/**)"
]
}
}
```
Adjust `legacy/` and `modernized/` to match your actual layout. The key invariants: `Edit`/`Write` under `legacy/` are denied, and writes are scoped to `analysis/` (for documents) and `modernized/` (for the new code). Note this guards the file tools — shell commands that mutate files (`sed -i`, `git apply`) still go through the normal Bash permission prompt, so review those prompts with the same invariant in mind. Every command in this plugin respects this — `/modernize-harden` writes a patch to `analysis/` rather than editing `legacy/` in place.
Adjust `legacy/` and `modernized/` to match your actual layout. The key invariants: `Edit` under `legacy/` is denied, and writes are scoped to `analysis/` (for documents) and `modernized/` (for the new code). Every command in this plugin respects this — `/modernize-harden` writes a patch to `analysis/` rather than editing `legacy/` in place.
## Typical Workflow
```bash
# 0. Check the environment is ready (tools, toolchain, source completeness)
/modernize-preflight billing
# 1. Inventory the legacy system (or sweep a portfolio of them)
/modernize-assess billing
@@ -134,9 +112,6 @@ Adjust `legacy/` and `modernized/` to match your actual layout. The key invarian
# 6. Security-harden the legacy system that's still in production
/modernize-harden billing
# Anytime: where am I, what's stale, what's next
/modernize-status billing
```
## License

View File

@@ -29,12 +29,6 @@ For **transformed code**:
- Does the test suite actually pin behavior, or just exercise code paths?
- What would the on-call engineer need at 3am that isn't here?
## Secret handling (mandatory)
When a finding quotes code containing a credential, key, token, or
connection string, mask the value (`'Pr0d****'`) and cite `file:line`
findings get appended verbatim to committed notes files.
## Output
Findings ranked **Blocker / High / Medium / Nit**. Each with: what, where,

View File

@@ -40,15 +40,6 @@ of the technology, skip it.
from structure/names), **Low** (ambiguous; needs SME).
6. If confidence < High, write the exact question an SME must answer.
## Secret handling (mandatory)
Rule parameters sometimes *are* credentials — hardcoded passwords in auth
checks, API keys in partner-service calls, connection strings in batch
routines. Record the **rule**, never the **value**: write the parameter as
`<credential — masked, see file:line>` with at most a 24 character
preview. Rule cards flow into briefs and steering decks; a raw credential
in a parameter list is a leak.
## Output format
One "Rule Card" per rule (see the format in the `/modernize-extract-rules`

View File

@@ -32,15 +32,6 @@ and explain it in terms a modern engineer can act on.
- **Note what's missing.** Unhandled error paths, TODO comments, commented-out
blocks, magic numbers — these are signals about history and risk.
## Secret handling (mandatory)
Legacy code is full of live credentials, and your findings get copied into
shareable reports. When the evidence for a finding — hardcoded config,
dead code, debt, an interface payload — includes a credential, API key,
token, connection string, or private key, **never reproduce the value**.
Cite `file:line` with a masked preview (`VALUE 'Pr0d****'`,
`password=****`). The finding is the practice, not the value.
## Output format
Default to structured markdown: tables for inventories, Mermaid for graphs,

View File

@@ -39,30 +39,7 @@ terminal/screen items don't apply to a SPA. Work through what's relevant:
Use available SAST where it helps (npm audit, pip-audit, grep for known-bad
patterns) but **read the code** — tools miss logic flaws. Show tool output
verbatim — except secret values, which you redact (see below) — then add
your manual findings.
## Secret handling (mandatory)
Legacy codebases routinely contain live production credentials, and your
findings get pasted into decks, tickets, and committed markdown. Copying a
secret into a report multiplies the exposure you were hired to find.
When you discover a hardcoded credential, API key, token, connection
string, or private key:
- **Never write the secret's value into any output** — no finding table,
no report, no quoted code excerpt, no echoed tool output. Mask it to the
first 24 identifying characters plus `****` (`AKIA****`,
`postgres://app_user:****@db-prod…`). If a scanner prints a secret,
redact it before including the excerpt.
- Cite `file:line`. The source file is the canonical location — anyone who
legitimately needs the value can open it there.
- State what the credential appears to grant access to (database, queue,
cloud account, third-party API) and whether it looks like a production
or test credential.
- Recommend rotation for anything that looks live — exposure in source
means it is already compromised, independent of any modernization plan.
verbatim, then add your manual findings.
## Reporting standard

View File

@@ -28,15 +28,6 @@ someone thinks it should do) so that a rewrite can be proven equivalent.
`@Disabled("pending RULE-NNN")` / `@pytest.mark.skip` / `it.todo()` — never
deleted.
## Secret handling (mandatory)
Never copy credential-like literals — passwords, API keys, tokens,
connection strings — from legacy code into test fixtures. Tests live in
the deliverable codebase and get committed. Substitute clearly-fake values
of the same shape and length and note the substitution in a comment.
Anything a test genuinely needs live (e.g. a real database connection for
a dual-run harness) is read from an environment variable, never inlined.
## Output
Idiomatic tests for the requested target stack (JUnit 5 / pytest / Vitest /

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@@ -1,13 +1,11 @@
---
description: Full discovery & portfolio analysis of a legacy system — inventory, complexity, debt, effort estimation
argument-hint: <system-dir> [--show-secrets] | --portfolio <parent-dir>
argument-hint: <system-dir> | --portfolio <parent-dir>
---
**Mode select.** If `$ARGUMENTS` starts with `--portfolio`, run **Portfolio
mode** against the directory that follows. Otherwise run **Single-system
mode** against the system dir. Parse flags positionally-independently:
`--show-secrets` may appear before or after the system dir — the system
dir is the first non-flag token.
mode** against `legacy/$1`.
---
@@ -110,16 +108,12 @@ Spawn three subagents **in parallel**:
2. **legacy-analyst** — "Identify technical debt in legacy/$1: dead code,
deprecated APIs, copy-paste duplication, god objects/programs, missing
error handling, hardcoded config. Return the top 10 findings ranked by
remediation value, each with file:line evidence. If evidence contains a
credential value, mask it per your secret-handling rules — never quote
it."
remediation value, each with file:line evidence."
3. **security-auditor** — "Scan legacy/$1 for security vulnerabilities:
injection, auth weaknesses, hardcoded secrets, vulnerable dependencies,
missing input validation. Return findings in CWE-tagged table form with
file:line evidence and severity. Mask every discovered credential value
per your secret-handling rules — file:line plus a 24 character masked
preview, never the value itself."
file:line evidence and severity."
Wait for all three. Synthesize their findings.
@@ -147,31 +141,6 @@ need explained.
## Step 6 — Write the assessment
**Secrets quarantine first.** The assessment gets shared and committed —
discovered credential values must never appear in it. If the
security-auditor found any hardcoded credentials:
1. Ensure `analysis/.gitignore` exists and contains the lines
`SECRETS.local.md` and `*.local.patch` (create or append as needed —
the patch pattern is used by `/modernize-harden`; writing both now
means the ignore set is complete from first contact). If the project is a
git repo, verify with `git check-ignore -q analysis/$1/SECRETS.local.md`
— do not write any findings until the check passes. If there is **no
git repo** (check for `.svn`/`.hg`/`CVS` too — a `.gitignore` protects
nothing under another VCS): refuse `--show-secrets` and write
`SECRETS.local.md` to `~/.modernize/$1/` instead of the project tree,
telling the user where it went and why.
2. Write `SECRETS.local.md`: one row per credential — masked preview,
`file:line`, credential type, what it grants access to,
production/test guess, rotation recommendation. Only if the user passed
`--show-secrets`, add the raw value column here — this file only, never
ASSESSMENT.md.
3. Masking applies to **every section of ASSESSMENT.md**, whichever agent
produced the finding — the Technical Debt section quotes hardcoded
config; those quotes follow the same masking rule as Security Findings.
The Security Findings section adds a one-line pointer:
"Credential inventory in SECRETS.local.md (gitignored; not for sharing)."
Create `analysis/$1/ASSESSMENT.md` with these sections:
- **Executive Summary** (3-4 sentences: what it is, how big, how risky, headline recommendation)
- **System Inventory** (the scc table + tech fingerprint)

View File

@@ -8,19 +8,10 @@ single document a steering committee approves and engineering executes.
Target stack: `$2` (if blank, recommend one based on the assessment findings).
Read `analysis/$1/ASSESSMENT.md`, `analysis/$1/topology.json` (plus the
`.mmd` files alongside it — do NOT read `TOPOLOGY.html`, it's an
interactive viewer with the data minified inside), and
`analysis/$1/BUSINESS_RULES.md` first. If any are missing, say so and
stop — they come from `/modernize-assess`, `/modernize-map`, and
`/modernize-extract-rules` respectively. Run those first.
**Staleness check:** compare modification times. If any input is newer
than an existing `MODERNIZATION_BRIEF.md`, the brief is being justifiably
regenerated; but if an existing brief is newer than all inputs and the
user re-ran this command anyway, ask what changed. Either way, note the
input timestamps in the brief's header so reviewers can see what it was
built from.
Read `analysis/$1/ASSESSMENT.md`, `analysis/$1/TOPOLOGY.html` (and the `.mmd`
files alongside it), and `analysis/$1/BUSINESS_RULES.md` first. If any are
missing, say so and stop — they come from `/modernize-assess`, `/modernize-map`,
and `/modernize-extract-rules` respectively. Run those first.
## The Brief
@@ -40,38 +31,28 @@ fewest-dependencies first. For each phase:
- Scope (which legacy modules, which target services)
- Entry criteria (what must be true to start)
- Exit criteria (what tests/metrics prove it's done)
- Estimated effort (person-months, same unit as the assessment's COCOMO
figure — convert deliberately if you present weeks)
- Estimated effort (person-weeks, derived from COCOMO + complexity data)
- Risk level + top 2 risks + mitigation
Render the phases as a Mermaid `gantt` chart.
### 4. Business Walkthroughs
For each persona flow in `analysis/$1/topology.json` (`flows` — produced
by `/modernize-map`), a short narrative table: persona, what happens in
business language, which legacy modules implement it today, and which
phase from §3 replaces each. This is the section non-technical approvers
actually read — it connects "Phase 2" to "what happens when a customer
files a claim". If topology.json has no flows, derive 23 walkthroughs
from the entry points and say they need SME confirmation.
### 5. Behavior Contract
### 4. Behavior Contract
List the **P0 rules** from BUSINESS_RULES.md (the ones tagged `Priority: P0`
money, regulatory, data integrity) that MUST be proven equivalent before any
phase ships. These become the regression suite. Flag any P0 rule with
Confidence < High as a blocker requiring SME confirmation before its phase
starts.
### 6. Validation Strategy
### 5. Validation Strategy
State which combination applies: characterization tests, contract tests,
parallel-run / dual-execution diff, property-based tests, manual UAT.
Justify per phase.
### 7. Open Questions
### 6. Open Questions
Anything requiring human/SME decision before Phase 1 starts. Each as a
checkbox the approver must tick.
### 8. Approval Block
### 7. Approval Block
```
Approved by: ________________ Date: __________
Approval covers: Phase 1 only | Full plan
@@ -79,7 +60,6 @@ Approval covers: Phase 1 only | Full plan
## Present
Present a summary of the brief and **stop — write nothing further until
the user explicitly approves** (use plan mode if the session supports
it). This gate is the human-in-the-loop control point; "no objection" is
not approval.
Enter **plan mode** and present a summary of the brief. Do NOT proceed to any
transformation until the user explicitly approves. This gate is the
human-in-the-loop control point.

View File

@@ -46,7 +46,7 @@ Merge the three result sets. Deduplicate. For each distinct rule, write a
When <trigger>
Then <outcome>
[And <additional outcome>]
**Parameters:** <constants, rates, thresholds with their current values — credentials masked: `<credential — masked, see file:line>`>
**Parameters:** <constants, rates, thresholds with their current values>
**Edge cases handled:** <list>
**Suspected defect:** <optional — legacy behavior that looks wrong; decide preserve-vs-fix during transform>
**Confidence:** High | Medium | Low — <why; if < High, state the exact SME question>

View File

@@ -1,42 +1,14 @@
---
description: Security vulnerability scan with a reviewable remediation patch — OWASP, CWE, CVE, secrets, injection
argument-hint: <system-dir> [--show-secrets]
argument-hint: <system-dir>
---
Run a **security hardening pass** on the legacy system: find
vulnerabilities, rank them, and produce a reviewable patch for the
critical ones. Parse arguments flag-independently: the system dir
(referred to as `$1` below) is the first non-flag token in `$ARGUMENTS`;
`--show-secrets` may appear anywhere.
Run a **security hardening pass** on `legacy/$1`: find vulnerabilities, rank
them, and produce a reviewable patch for the critical ones.
This command never edits `legacy/` — it writes findings and a proposed patch
to `analysis/$1/`. The user reviews and applies (or not).
## Step 0 — Secrets quarantine setup
Findings files get shared, committed, and pasted into decks — discovered
credential values must never land in them. Before any scanning:
1. Ensure `analysis/.gitignore` exists and contains the lines
`SECRETS.local.md` and `*.local.patch`. Create the file or append the
missing lines.
2. If the project is a git repo, verify with
`git check-ignore -q analysis/$1/SECRETS.local.md` — if that exits
non-zero, fix the ignore rule before proceeding. Do not write any
findings until this check passes.
3. **If there is no git repo** (check for `.svn`/`.hg`/`CVS` too — a
`.gitignore` protects nothing under another VCS): refuse
`--show-secrets`, and write `SECRETS.local.md` and any `.local.patch`
file to `~/.modernize/$1/` instead of the project tree, telling the
user where they went and why.
All secret values in every shareable artifact this command produces are
**masked** (`AKIA****`, `password=****`) and cited by `file:line`. Raw
values may appear in exactly two places, both gitignored: the
`*.local.patch` remediation hunks (unavoidably — see Remediate) and, only
with `--show-secrets`, `SECRETS.local.md`. Never in SECURITY_FINDINGS.md
or patch commentary.
## Scan
Spawn the **security-auditor** subagent:
@@ -48,9 +20,7 @@ hardcoded secrets, vulnerable dependency versions, missing input validation,
path traversal. For each finding return: CWE ID, severity
(Critical/High/Med/Low), file:line, one-sentence exploit scenario, and
recommended fix. Run any available SAST tooling (npm audit, pip-audit,
OWASP dependency-check) and include its raw output. Mask every discovered
credential value per your secret-handling rules — file:line plus a 24
character masked preview, never the value itself."
OWASP dependency-check) and include its raw output."
## Triage
@@ -59,50 +29,26 @@ Write `analysis/$1/SECURITY_FINDINGS.md`:
- Findings table sorted by severity
- Dependency CVE table (package, installed version, CVE, fixed version)
If any hardcoded credentials were found, also write
`analysis/$1/SECRETS.local.md` (the gitignored quarantine file from Step 0):
one row per credential — masked preview, `file:line`, credential type, what
it appears to grant access to, production/test guess, and a rotation
recommendation. With `--show-secrets`, append the raw value column here —
this file only. SECURITY_FINDINGS.md gets a one-line pointer:
"N hardcoded credentials found — inventory in SECRETS.local.md (gitignored;
not for sharing)."
## Remediate
For each **Critical** and **High** finding, draft a minimal, targeted fix.
Do **not** edit `legacy/` — write fixes as unified diffs with **paths
relative to the project root** (`legacy/$1/...`), applied from the project
root, with a comment line above each hunk citing the finding ID it
addresses (`# SEC-001: parameterize the query`).
**Credential findings split into two files.** A diff that removes a
hardcoded secret necessarily contains the raw value on its `-` and
context lines — that cannot go in the shareable patch:
- `analysis/$1/security_remediation.patch` (shareable) — every
non-credential hunk, plus for each credential finding a comment-only
placeholder: `# SEC-NNN: credential remediation — hunk in
security_remediation.local.patch (gitignored; not for sharing)`.
- `analysis/$1/security_remediation.local.patch` (gitignored in Step 0) —
the real, applyable hunks for credential findings only.
Do **not** edit `legacy/` — write all fixes as a single unified diff to
`analysis/$1/security_remediation.patch`, with a comment line above each
hunk citing the finding ID it addresses (`# SEC-001: parameterize the query`).
Add a **Remediation Log** section to SECURITY_FINDINGS.md mapping each
finding ID → one-line summary of the proposed fix and which patch file
carries the hunk.
finding ID → one-line summary of the proposed fix and the patch hunk that
implements it.
## Verify
Spawn the **security-auditor** again to **review both patches** against
the original code:
Spawn the **security-auditor** again to **review the patch** against the
original code:
"Review analysis/$1/security_remediation.patch and
analysis/$1/security_remediation.local.patch against legacy/$1. For each
"Review analysis/$1/security_remediation.patch against legacy/$1. For each
hunk: does it fully remediate the cited finding? Does it introduce new
vulnerabilities or change behavior beyond the fix? Confirm no raw
credential values appear anywhere in the shareable patch. Return one
verdict per hunk: RESOLVES / PARTIAL / INTRODUCES-RISK, with a one-line
reason."
vulnerabilities or change behavior beyond the fix? Return one verdict per
hunk: RESOLVES / PARTIAL / INTRODUCES-RISK, with a one-line reason."
Add a **Patch Review** section to SECURITY_FINDINGS.md with the verdicts.
If any hunk is PARTIAL or INTRODUCES-RISK, revise the patch and re-review.
@@ -111,12 +57,8 @@ If any hunk is PARTIAL or INTRODUCES-RISK, revise the patch and re-review.
Tell the user the artifacts are ready:
- `analysis/$1/SECURITY_FINDINGS.md` — findings, remediation log, patch review
- `analysis/$1/security_remediation.patch` — review, then apply **from the
project root**: `git apply analysis/$1/security_remediation.patch`
(if `legacy/$1` is a symlink, use `git apply --unsafe-paths` or apply
with `patch -p0` from the project root)
- `analysis/$1/security_remediation.local.patch` — the credential fixes;
apply the same way, and rotate the affected credentials regardless
- `analysis/$1/security_remediation.patch` — review, then apply if appropriate
with `git -C legacy/$1 apply ../../analysis/$1/security_remediation.patch`
- Re-run `/modernize-harden $1` after applying to confirm resolution
Suggest: `glow -p analysis/$1/SECURITY_FINDINGS.md`

View File

@@ -55,124 +55,50 @@ re-run and audited. Have it write a machine-readable
`analysis/$1/topology.json` and print a human summary. Run it; show the
summary (cap at ~200 lines for very large estates).
`topology.json` must follow this schema — it feeds the interactive viewer:
```json
{
"system": "<display name>",
"root": {
"id": "sys", "name": "<system>", "kind": "system",
"children": [
{ "id": "dom:<domain>", "name": "<Domain>", "kind": "domain",
"children": [
{ "id": "<MODULE>", "name": "<MODULE>", "kind": "module",
"language": "cobol", "loc": 1234, "file": "src/MODULE.cbl" }
] },
{ "id": "dom:data", "name": "Data stores", "kind": "domain",
"children": [
{ "id": "ds:<NAME>", "name": "<NAME>", "kind": "datastore" }
] }
]
},
"edges": [
{ "source": "<id>", "target": "<id>", "kind": "call" }
],
"entryPoints": ["<id>", "..."],
"deadEnds": ["<id>", "..."],
"observations": ["<architect observation>", "..."],
"flows": [
{ "name": "<business flow>", "persona": "<who experiences it>",
"description": "<one sentence, plain language>",
"steps": [
{ "label": "<business-language step>", "nodes": ["<id>", "<id>"] }
] }
]
}
```
- Group leaf modules under `domain` containers (use the domains from
`/modernize-assess` if available). Leaf kinds: `module`, `datastore`,
`job`, `screen`. `loc` drives circle size — include it for modules.
- Edge kinds: `call` (direct), `dispatch` (dynamic/router), `read`,
`write`. Every edge endpoint must be a leaf id that exists in the tree.
- `deadEnds`: the dead-end candidates from the extraction, rendered with
a dashed outline in the viewer. Apply the suppression rules above —
anything that could be the target of an unresolved dynamic call does
NOT belong here; record that uncertainty in `observations` instead.
- **Datastore ids and names must be logical identifiers** — DD name,
dataset name, table/schema name, at most host:port. If the resolved
config value is a URL or DSN, strip userinfo and credential query
params before it goes anywhere in topology.json: the file gets
committed and the viewer displays names verbatim. Never copy raw
config values into `observations`.
- `observations`: 37 architect observations — tight coupling clusters,
single points of failure, service-extraction candidates, data stores
with too many writers, dispatch targets the extraction could not
resolve.
- `flows` is the **persona walkthrough** section — see below.
## Persona flows
Trace **24 end-to-end business flows**, each anchored to a persona —
the people who experience the system, not the people who maintain it
(e.g. for a benefits system: the claimant, the caseworker, the auditor;
for billing: the customer, the billing operator). For each flow:
- `name` + one-sentence `description` in plain business language —
something a steering committee member relates to ("a claimant files a
weekly claim"), not a data-flow label ("CLM batch ingest").
- `steps`: 38 steps, each with a business-language `label` and the
`nodes` (programs + data stores) that implement that step, in
execution order.
This is the bridge between the technical map and non-technical
stakeholders: the same diagram answers "which program does X" for
engineers and "what happens when someone files a claim" for everyone else.
## Render
`analysis/$1/TOPOLOGY.html` is an **interactive map**: a zoomable
circle-pack of the whole system (domains as containers, modules sized by
LOC) with dependency edges, search, per-node detail sidebar, edge-kind
toggles, and a flow-walkthrough mode that plays each persona flow as a
numbered path. Build it from the template that ships with this plugin —
do not hand-write the viewer:
From the extracted data, generate **three Mermaid diagrams** and write them
to `analysis/$1/TOPOLOGY.html` as a self-contained page that renders in any
browser.
```bash
python3 - "${CLAUDE_PLUGIN_ROOT}/assets/topology-viewer.html" analysis/$1 <<'EOF'
import json, sys
tpl_path, out_dir = sys.argv[1], sys.argv[2]
tpl = open(tpl_path).read()
marker = "/*__TOPOLOGY_DATA__*/ null"
assert marker in tpl, f"injection marker not found in {tpl_path}"
data = json.dumps(json.load(open(f"{out_dir}/topology.json")))
open(f"{out_dir}/TOPOLOGY.html", "w").write(
tpl.replace(marker, "/*__TOPOLOGY_DATA__*/ " + data))
print(f"wrote {out_dir}/TOPOLOGY.html")
EOF
The HTML page must use: dark `#1e1e1e` background, `#d4d4d4` text,
`#cc785c` for `<h2>`/accents, `system-ui` font, all CSS **inline** (no
external stylesheets). Load Mermaid from a CDN in `<head>`:
```html
<script type="module">
import mermaid from 'https://cdn.jsdelivr.net/npm/mermaid@11/dist/mermaid.esm.min.mjs';
mermaid.initialize({ startOnLoad: true, theme: 'dark' });
</script>
```
The viewer is fully self-contained (the d3 subset it needs is inlined in
the template) — it works offline and on air-gapped networks. If the
`python3` invocation fails to find the template,
`${CLAUDE_PLUGIN_ROOT}` was not substituted — report that rather than
hand-writing a viewer.
Each diagram goes in a `<pre class="mermaid">...</pre>` block. Do **not**
wrap diagrams in markdown ` ``` ` fences inside the HTML.
Mermaid stays for **small, exportable** diagrams. Generate standalone
`.mmd` files for reuse in docs and PRs — but keep each under ~40 edges;
collapse to domain level if the full graph is bigger (dense Mermaid
becomes unreadable, which is exactly what the interactive map is for):
1. **`graph TD` — Module call graph.** Cluster by domain (use `subgraph`).
Highlight entry points in a distinct style. Cap at ~40 nodes — if larger,
show domain-level with one expanded domain.
- `analysis/$1/call-graph.mmd`domain-level `graph TD`, entry points
highlighted
- `analysis/$1/data-lineage.mmd``graph LR`, programs → data stores,
read vs write marked
- `analysis/$1/critical-path.mmd``flowchart TD` of the primary flow
from `flows`, annotated with p50/p99 wall-clock if telemetry is
available (see `/modernize-assess` Step 4)
2. **`graph LR`Data lineage.** Programs → data stores.
Mark read vs write edges.
3. **`flowchart TD` — Critical path.** Trace ONE end-to-end business flow
(e.g., "monthly billing run" or "process payment") through every program
and data store it touches, in execution order. If production telemetry is
available (see `/modernize-assess` Step 4), annotate each step with its
p50/p99 wall-clock.
Also export the three diagrams as standalone `.mmd` files for re-use:
`analysis/$1/call-graph.mmd`, `analysis/$1/data-lineage.mmd`,
`analysis/$1/critical-path.mmd`.
## Annotate
Below each `<pre class="mermaid">` block in TOPOLOGY.html, add a `<ul>`
with 3-5 **architect observations**: tight coupling clusters, single
points of failure, candidates for service extraction, data stores
touched by too many writers.
## Present
Tell the user to open `analysis/$1/TOPOLOGY.html` in a browser, and to
try: search for a module, click it to see its connections, and pick a
persona flow from the walkthrough dropdown.
Tell the user to open `analysis/$1/TOPOLOGY.html` in a browser.

View File

@@ -1,98 +0,0 @@
---
description: Environment readiness check — analysis tools, build toolchain, source completeness, telemetry access
argument-hint: <system-dir> [target-stack]
---
Check whether this environment is ready to analyze — and eventually
transform — `legacy/$1`, and tell the user exactly what to fix before the
other commands run into it. Modernization sessions fail late and
confusingly when this isn't done: assessment metrics silently degrade
without analysis tools, characterization tests can't run without a build
toolchain, and dependency maps come out wrong when half the source isn't
in the tree.
Run every check even when an early one fails — the point is one complete
readiness report, not the first error.
## Check 1 — Detect the stack
Fingerprint `legacy/$1` from file extensions and manifests: languages,
build system, deployment/config descriptors. This drives which checks
below apply. Report what was detected and the rough file split.
## Check 2 — Analysis tooling
For each, check availability (`command -v`) and report version, what it's
used for, and what degrades without it:
| Tool | Used by | Without it |
|---|---|---|
| `scc` (or `cloc`) | assess | LOC/complexity fall back to `find`+`wc`; COCOMO estimate gets coarser |
| `lizard` | assess --portfolio | complexity estimated from decision-keyword counts |
| `glow` | all | markdown artifacts render as plain text |
| `delta` | transform | side-by-side diffs fall back to `diff -y` |
Include the platform's install one-liner for anything missing
(`brew install scc`, `apt install cloc`, `pip install lizard`, …).
## Check 3 — Build toolchain (smoke test, not just presence)
Identify the compiler/interpreter for the detected legacy stack — e.g.
GnuCOBOL (`cobc`) for COBOL, JDK + Maven/Gradle for Java, `cc`/`make` for
C, `dotnet` for .NET. Then **prove it works on this codebase**: pick one
representative source file and run a syntax-only compile
(`cobc -fsyntax-only`, `javac`, `gcc -fsyntax-only`, …).
A failed smoke test is the most valuable output of this command — report
the actual error and diagnose it: missing copybook/include path, missing
dialect flag (`-std=ibm` etc.), fixed vs free format, missing dependency
jar. These are the errors that otherwise surface mid-`/modernize-transform`
with much less context.
If the user passed a `[target-stack]`, do the same for it: runtime,
package manager, test framework (`mvn -v`, `npm -v`, `pytest --version`, …).
## Check 4 — Source completeness
The dependency map is only as good as what's in the tree. Check for the
detected stack's equivalents of:
- **Referenced-but-missing includes** — copybooks (`COPY X` with no
`X.cpy`), headers, imports that resolve nowhere. Count and list the top
missing names.
- **Deployment/config descriptors** — JCL for batch COBOL, CICS CSD
definitions, `web.xml`/route configs, cron/scheduler definitions.
Without these, entry-point detection and the code↔storage join in
`/modernize-map` are guesswork.
- **Data definitions** — DDL, schemas, copybook record layouts, ORM
mappings.
- **Binary-only artifacts** — load modules, jars, DLLs with no matching
source. These become unmappable black boxes; flag them now.
## Check 5 — Optional context
- **Production telemetry** — is an observability/APM MCP server connected,
or are batch job logs / runtime exports available? (Enables the runtime
overlay in `/modernize-assess` Step 4 and timing annotations in
`/modernize-map`.)
- **Version control history** — is `legacy/$1` under git with meaningful
history? (Change-frequency data sharpens risk ranking.)
## Report
Write `analysis/$1/PREFLIGHT.md`: a status table — one row per check,
status ✅ / ⚠️ / ❌, what was found, and the fix for anything not green —
followed by a **Ready / Ready-with-gaps / Not ready** verdict per command:
- `assess` + `map` + `extract-rules` — need Checks 12 green-ish and
Check 4's missing-include count low
- `brief` — needs only the three discovery artifacts; no tooling
- `transform` + `reimagine` — additionally need Check 3 green for the
**target** stack. A red legacy toolchain downgrades these to
Ready-with-gaps, not Not-ready: equivalence testing falls back to
recorded traces / golden-master fixtures instead of dual execution
(common and expected for CICS/IMS code that has no local runtime)
- `harden` — needs Check 2 plus any stack-specific SAST tooling found
Print the table in the session too, and end with the single most
important fix if anything is red.

View File

@@ -3,11 +3,7 @@ description: Multi-agent greenfield rebuild — extract specs from legacy, desig
argument-hint: <system-dir> <target-vision>
---
The first token of `$ARGUMENTS` is the system dir (`$1`); **everything
after it is the target vision** — it is usually multiple words, so do not
truncate it to one token. Below, `<vision>` means that full remainder.
**Reimagine** `legacy/$1` as: <vision>
**Reimagine** `legacy/$1` as: $2
This is not a port — it's a rebuild from extracted intent. The legacy system
becomes the *specification source*, not the structural template. This command
@@ -23,8 +19,7 @@ Spawn concurrently and show the user that all three are running:
2. **legacy-analyst** — "Catalog every external interface of legacy/$1:
inbound (screens, APIs, batch triggers, queues) and outbound (reports,
files, downstream calls, DB writes). For each: name, direction, payload
shape, frequency/SLA if discernible. Mask any credential embedded in
endpoints or payload examples per your secret-handling rules."
shape, frequency/SLA if discernible."
3. **legacy-analyst** — "Identify the core domain entities in legacy/$1 and
their relationships. Return as an entity list + Mermaid erDiagram."
@@ -37,9 +32,6 @@ Collect results. Write `analysis/$1/AI_NATIVE_SPEC.md` containing:
- **Non-functional requirements** inferred from legacy (batch windows, volumes)
- **Behavior Contract** (the Given/When/Then rules — these are the acceptance tests)
Credential values are masked everywhere in the spec; connection details
appear as env-var placeholders (`${DATABASE_URL}`), never literals.
## Phase B — HITL checkpoint #1
Present the spec summary. Ask the user **one focused question**: "Which of
@@ -48,21 +40,20 @@ should deliberately drop?" Wait for the answer. Record it in the spec.
## Phase C — Architecture (single agent, then critique)
Design the target architecture for "<vision>":
Design the target architecture for "$2":
- Mermaid C4 Container diagram
- Service boundaries with rationale (which rules/entities live where)
- Technology choices with one-line justification each
- Data migration approach from legacy stores
Then spawn **architecture-critic**: "Review this proposed architecture for
<vision> against the spec in analysis/$1/AI_NATIVE_SPEC.md. Identify over-engineering,
$2 against the spec in analysis/$1/AI_NATIVE_SPEC.md. Identify over-engineering,
missed requirements, scaling risks, and simpler alternatives." Incorporate
the critique. Write the result to `analysis/$1/REIMAGINED_ARCHITECTURE.md`.
## Phase D — HITL checkpoint #2
Present the architecture and **stop — scaffold nothing until the user
explicitly approves** (use plan mode if the session supports it).
Enter plan mode. Present the architecture. Wait for approval.
## Phase E — Parallel scaffolding
@@ -74,9 +65,7 @@ in parallel**:
and AI_NATIVE_SPEC.md. Create: project skeleton, domain model, API stubs
matching the interface contracts, and **executable acceptance tests** for every
behavior-contract rule assigned to this service (mark unimplemented ones as
expected-failure/skip with the rule ID). No credential literal from legacy
code becomes a test fixture or config default — use fake same-shape values
and env-var placeholders. Write to modernized/$1-reimagined/<service-name>/."
expected-failure/skip with the rule ID). Write to modernized/$1-reimagined/<service-name>/."
Show the agents' progress. When all complete, run the acceptance test suites
and report: total tests, passing (scaffolded behavior), pending (rule IDs
@@ -88,9 +77,7 @@ Write `modernized/$1-reimagined/CLAUDE.md` — the persistent context file for
the new system, containing: architecture summary, service responsibilities,
where the spec lives, how to run tests, and the legacy→modern traceability
map. This file IS the knowledge graph that future agents and engineers will
load — and it gets committed: connection details and credentials appear
only as env-var names with a pointer to where they're provisioned, never
as values.
load.
Report: services scaffolded, acceptance tests defined, % behaviors with a
home, location of all artifacts.

View File

@@ -1,54 +0,0 @@
---
description: Where am I in the modernization workflow — artifact inventory, staleness, secrets hygiene, next step
argument-hint: <system-dir>
---
Report where the modernization of `$1` stands, in one screen. This is a
read-only command — inspect, never modify.
## 1 — Artifact inventory
Check `analysis/$1/` and `modernized/$1*/` and build a table — one row per
workflow stage, with the artifact's presence and modification time:
| Stage | Artifacts |
|---|---|
| preflight | `PREFLIGHT.md` |
| assess | `ASSESSMENT.md`, `ARCHITECTURE.mmd` |
| map | `topology.json`, `TOPOLOGY.html`, `*.mmd`, `extract_topology.*` |
| extract-rules | `BUSINESS_RULES.md`, `DATA_OBJECTS.md` |
| brief | `MODERNIZATION_BRIEF.md` (note whether the approval block is signed) |
| harden | `SECURITY_FINDINGS.md`, `security_remediation.patch` |
| transform / reimagine | each `modernized/$1*/<module>/` dir — note test presence and whether `TRANSFORMATION_NOTES.md` exists |
## 2 — Staleness
Flag any artifact older than an upstream artifact it derives from:
- `MODERNIZATION_BRIEF.md` older than `ASSESSMENT.md`, `topology.json`,
or `BUSINESS_RULES.md` → the brief no longer reflects discovery;
recommend re-running `/modernize-brief`.
- `TOPOLOGY.html` older than `topology.json` → re-run the injection step
from `/modernize-map`.
- Any `TRANSFORMATION_NOTES.md` older than `BUSINESS_RULES.md` → the
module may not implement the latest rule set; list which.
## 3 — Secrets hygiene
- Does `analysis/.gitignore` exist and cover `SECRETS.local.md` /
`*.local.patch`? (`git check-ignore` when in a git repo.)
- If `SECRETS.local.md` exists: confirm it is NOT tracked
(`git ls-files --error-unmatch`, expect failure) and has never been
committed (`git log --all --oneline -- <path>`, expect empty). If
either check fails, say so prominently and recommend rotation plus
history scrubbing.
## 4 — Verdict
End with three lines:
- **Where you are** — the furthest completed stage and roughly how much
of the system it covers (e.g. "mapped 100%, 2 of 14 modules
transformed").
- **What's stale** — or "nothing".
- **Next command** — the single most useful next step, with a one-line
reason.

View File

@@ -9,37 +9,10 @@ equivalence.
This is a surgical, single-module transformation — one vertical slice of the
strangler fig. Output goes to `modernized/$1/$2/`.
## Step 0aToolchain check (fail fast on target, adapt on legacy)
Verify the build environment **before** planning, not when the tests
first run:
- **Target stack ($3) — required.** Runtime, package manager, and test
framework all respond (`java -version` + `mvn -v`, `node -v` + `npm -v`,
`python3 -V` + `pytest --version`, …). If any are missing, stop and
report what to install — the new code and its tests cannot run without
them, so a plan gate now would just defer the failure an hour. Suggest
`/modernize-preflight $1 $3` for the full readiness report.
- **Legacy stack — advisory, never a blocker.** Try a syntax-only compile
of the module being transformed (e.g. `cobc -fsyntax-only`). Legacy
code often *cannot* build locally by nature, not by misconfiguration —
CICS/IMS programs have no local translator, and the real runtime may be
a mainframe you don't have. A failed or impossible legacy compile does
**not** stop the transform; it changes the equivalence strategy:
- dual-execution proof is off the table — characterization tests
assert against **recorded traces / golden-master fixtures** (real
production outputs, captured reports/screens, SME-confirmed
examples) instead of live legacy runs
- say so explicitly in the Step 0b plan and later in
TRANSFORMATION_NOTES.md ("equivalence is trace-based; legacy was not
executable in this environment"), so reviewers know the strength of
the proof they're approving
## Step 0b — Plan (HITL gate)
## Step 0 — Plan (HITL gate)
Read the source module and any business rules in `analysis/$1/BUSINESS_RULES.md`
that reference it. Then present the plan and **stop — write no code until
the user explicitly approves** (use plan mode if the session supports it):
that reference it. Then **enter plan mode** and present:
- Which source files are in scope
- The target module structure (packages/classes/files you'll create)
- Which business rules / behaviors this module implements
@@ -57,9 +30,7 @@ identify every observable behavior, and encode each as a test case with
concrete input → expected output pairs derived from the legacy logic.
Target framework: <appropriate for $3>. Write to
`modernized/$1/$2/src/test/`. These tests define 'done' — the new code
must pass all of them. Follow your secret-handling rules: no credential
literal from legacy code becomes a fixture; substitute fake same-shape
values and read anything genuinely live from environment variables."
must pass all of them."
Show the user the test file. Get a 👍 before proceeding.
@@ -97,10 +68,6 @@ Then show a visual diff of one representative behavior, legacy vs modern:
```bash
delta --side-by-side <(sed -n '<lines>p' legacy/$1/<file>) modernized/$1/$2/src/main/<file>
```
(Fall back to `diff -y --width=160` if `delta` isn't installed.) Never
pick a credential-bearing line range for this diff, and mask any
credential-like literal quoted in TRANSFORMATION_NOTES.md — the notes
live in `modernized/` and get committed.
## Step 5 — Architecture review