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add-hana-c
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add-pigmen
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8a8ffb50bb | ||
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b392f51899 |
@@ -1308,6 +1308,22 @@
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},
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"homepage": "https://getoptimal.ai"
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},
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{
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"name": "oracle-ai-data-platform-workbench-spark-connectors",
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"description": "Oracle AI Data Platform Workbench Spark connectors for Claude Code. 18 connector skills covering every data source workbench customers commonly need: Oracle Autonomous DB family (ALH/ADW/ATP) via wallet/IAM-DB-Token/API-key, ExaCS, Fusion ERP REST, Fusion BICC, EPM Cloud Planning, Essbase 21c, OCI Streaming (Kafka), OCI Object Storage, Apache Iceberg, plus external systems (PostgreSQL, MySQL/HeatWave, SQL Server, Snowflake, Azure ADLS Gen2, AWS S3, generic REST, custom JDBC, Excel). Live-validated on the workbench `tpcds` cluster (Spark 3.5.0): 17 PASS / 4 ship-as-is out of 21 test rows.",
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"author": {
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"name": "Oracle"
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},
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"category": "development",
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"source": {
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"source": "git-subdir",
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"url": "https://github.com/oracle-samples/oracle-aidp-samples.git",
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"path": "ai/claude-code-plugins/oracle-ai-data-platform-workbench-spark-connectors",
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"ref": "main",
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"sha": "f436f3a40dfaedbef6a076ad3992b697ba5dcef6"
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},
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"homepage": "https://docs.oracle.com/en/cloud/paas/ai-data-platform/index.html"
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},
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{
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"name": "pagerduty",
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"description": "Enhance code quality and security through PagerDuty risk scoring and incident correlation. Score pre-commit diffs against historical incident data and surface deployment risk before you ship.",
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@@ -1342,6 +1358,19 @@
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}
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}
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},
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{
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"name": "pigment",
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"description": "Analyze business data and build custom Pigment models, metrics, and boards through natural language.",
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"author": {
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"name": "Pigment"
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},
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"category": "productivity",
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"source": {
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"source": "url",
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"url": "https://github.com/gopigment/ai-plugins.git"
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},
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"homepage": "https://www.pigment.com"
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},
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{
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"name": "pinecone",
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"description": "Pinecone vector database integration. Streamline your Pinecone development with powerful tools for managing vector indexes, querying data, and rapid prototyping. Use slash commands like /quickstart to generate AGENTS.md files and initialize Python projects and /query to quickly explore indexes. Access the Pinecone MCP server for creating, describing, upserting and querying indexes with Claude. Perfect for developers building semantic search, RAG applications, recommendation systems, and other vector-based applications with Pinecone.",
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