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Author SHA1 Message Date
Thariq Shihipar
c91a6b660d feat: Add plugin.json metadata for frontend-design plugin
Add plugin metadata configuration file with version, description, and author information for the frontend-design plugin.

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>
2025-11-12 14:15:38 -08:00
6 changed files with 29 additions and 86 deletions

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@@ -1,45 +1,5 @@
# Changelog
## 2.0.37
- Fixed how idleness is computed for notifications
- Hooks: Added matcher values for Notification hook events
- Output Styles: Added `keep-coding-instructions` option to frontmatter
## 2.0.36
- Fixed: DISABLE_AUTOUPDATER environment variable now properly disables package manager update notifications
- Fixed queued messages being incorrectly executed as bash commands
- Fixed input being lost when typing while a queued message is processed
## 2.0.35
- Improve fuzzy search results when searching commands
- Improved VS Code extension to respect `chat.fontSize` and `chat.fontFamily` settings throughout the entire UI, and apply font changes immediately without requiring reload
- Added `CLAUDE_CODE_EXIT_AFTER_STOP_DELAY` environment variable to automatically exit SDK mode after a specified idle duration, useful for automated workflows and scripts
- Migrated `ignorePatterns` from project config to deny permissions in the localSettings.
- Fixed messages returning null `stop_reason` and `stop_sequence` values
- Fixed menu navigation getting stuck on items with empty string or other falsy values (e.g., in the `/hooks` menu)
## 2.0.34
- VSCode Extension: Added setting to configure the initial permission mode for new conversations
- Improved file path suggestion performance with native Rust-based fuzzy finder
- Fixed infinite token refresh loop that caused MCP servers with OAuth (e.g., Slack) to hang during connection
- Fixed memory crash when reading or writing large files (especially base64-encoded images)
## 2.0.33
- Native binary installs now launch quicker.
- Fixed `claude doctor` incorrectly detecting Homebrew vs npm-global installations by properly resolving symlinks
- Fixed `claude mcp serve` exposing tools with incompatible outputSchemas
## 2.0.32
- Un-deprecate output styles based on community feedback
- Added `companyAnnouncements` setting for displaying announcements on startup
- Fixed hook progress messages not updating correctly during PostToolUse hook execution
## 2.0.31
- Windows: native installation uses shift+tab as shortcut for mode switching, instead of alt+m

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@@ -14,28 +14,10 @@ Claude Code is an agentic coding tool that lives in your terminal, understands y
1. Install Claude Code:
**MacOS/Linux:**
```bash
curl -fsSL https://claude.ai/install.sh | bash
```
**Homebrew (MacOS):**
```bash
brew install --cask claude-code
```
**Windows:**
```powershell
irm https://claude.ai/install.ps1 | iex
```
**NPM:**
```bash
```sh
npm install -g @anthropic-ai/claude-code
```
NOTE: If installing with NPM, you also need to install [Node.js 18+](https://nodejs.org/en/download/)
2. Navigate to your project directory and run `claude`.
## Plugins

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@@ -1,31 +1,27 @@
---
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*)
allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr review:*), Bash(gh pr list:*)
description: Code review a pull request
disable-model-invocation: false
---
Provide a code review for the given pull request.
To do this, follow these steps precisely:
1. Use a Haiku agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
2. Use another Haiku agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
3. Use a Haiku agent to view the pull request, and ask the agent to return a summary of the change
4. Then, launch 5 parallel Sonnet agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.):
a. Agent #1: Audit the changes to make sure they compily with the CLAUDE.md. Note that CLAUDE.md is guidance for Claude as it writes code, so not all instructions will be applicable during code review.
b. Agent #2: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives.
c. Agent #3: Read the git blame and history of the code modified, to identify any bugs in light of that historical context
d. Agent #4: Read previous pull requests that touched these files, and check for any comments on those pull requests that may also apply to the current pull request.
e. Agent #5: Read code comments in the modified files, and make sure the changes in the pull request comply with any guidance in the comments.
5. For each issue found in #4, launch a parallel Haiku agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim):
1. Use an agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
2. Use another agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
3. Use an agent to view the pull request, and ask the agent to return a summary of the change
4. Then, launch 4 parallel agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.):
a. Agents #1 and #2: Independently audit the changes to make sure they compily with the CLAUDE.md
b. Agent #3: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives.
c. Agent #5: Read the git blame and history of the code modified, to identify any bugs in light of that historical context
5. For each issue found in #4, launch a parallel agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim):
a. 0: Not confident at all. This is a false positive that doesn't stand up to light scrutiny, or is a pre-existing issue.
b. 25: Somewhat confident. This might be a real issue, but may also be a false positive. The agent wasn't able to verify that it's a real issue. If the issue is stylistic, it is one that was not explicitly called out in the relevant CLAUDE.md.
c. 50: Moderately confident. The agent was able to verify this is a real issue, but it might be a nitpick or not happen very often in practice. Relative to the rest of the PR, it's not very important.
d. 75: Highly confident. The agent double checked the issue, and verified that it is very likely it is a real issue that will be hit in practice. The existing approach in the PR is insufficient. The issue is very important and will directly impact the code's functionality, or it is an issue that is directly mentioned in the relevant CLAUDE.md.
e. 100: Absolutely certain. The agent double checked the issue, and confirmed that it is definitely a real issue, that will happen frequently in practice. The evidence directly confirms this.
6. Filter out any issues with a score less than 80. If there are no issues that meet this criteria, do not proceed.
7. Use a Haiku agent to repeat the eligibility check from #1, to make sure that the pull request is still eligible for code review.
8. Finally, use the gh bash command to comment back on the pull request with the result. When writing your comment, keep in mind to:
7. Finally, comment back on the pull request with a list of issues you found. When writing your comment, keep in mind to:
a. Keep your output brief
b. Avoid emojis
c. Link and cite relevant code, files, and URLs
@@ -35,29 +31,26 @@ Examples of false positives, for steps 4 and 5:
- Pre-existing issues
- Something that looks like a bug but is not actually a bug
- Pedantic nitpicks that a senior engineer wouldn't call out
- Issues that a linter, typechecker, or compiler would catch (eg. missing or incorrect imports, type errors, broken tests, formatting issues, pedantic style issues like newlines). No need to run these build steps yourself -- it is safe to assume that they will be run separately as part of CI.
- General code quality issues (eg. lack of test coverage, general security issues, poor documentation), unless explicitly required in CLAUDE.md
- Issues that a linter will catch (no need to run the linter to verify)
- General code quality issues (eg. lack of test coverage, general security issues), unless explicitly required in CLAUDE.md
- Issues that are called out in CLAUDE.md, but explicitly silenced in the code (eg. due to a lint ignore comment)
- Changes in functionality that are likely intentional or are directly related to the broader change
- Real issues, but on lines that the user did not modify in their pull request
Notes:
- Do not check build signal or attempt to build or typecheck the app. These will run separately, and are not relevant to your code review.
- Use `gh` to interact with Github (eg. to fetch a pull request, or to create inline comments), rather than web fetch
- Make a todo list first
- You must cite and link each bug (eg. if referring to a CLAUDE.md, you must link it)
- For your final comment, follow the following format precisely (assuming for this example that you found 3 issues):
- For your comment, follow the following format precisely (assuming for this example that you found 3 issues):
---
### Code review
## Code review
Found 3 issues:
1. <brief description of bug> (CLAUDE.md says "<...>")
<link to file and line with full sha1 + line range for context, note that you MUST provide the full sha and not use bash here, eg. https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17>
<link to file and line with full sha1 + line range for context, eg. https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17>
2. <brief description of bug> (some/other/CLAUDE.md says "<...>")
@@ -77,15 +70,14 @@ Found 3 issues:
---
### Code review
## Auto code review
No issues found. Checked for bugs and CLAUDE.md compliance.
🤖 Generated with [Claude Code](https://claude.ai/code)
## 🤖 Generated with [Claude Code](https://claude.ai/code)
- When linking to code, follow the following format precisely, otherwise the Markdown preview won't render correctly: https://github.com/anthropics/claude-cli-internal/blob/c21d3c10bc8e898b7ac1a2d745bdc9bc4e423afe/package.json#L10-L15
- Requires full git sha
- You must provide the full sha. Commands like `https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar` will not work, since your comment will be directly rendered in Markdown.
- Repo name must match the repo you're code reviewing
- # sign after the file name
- Line range format is L[start]-L[end]

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@@ -1,4 +1,4 @@
#!/usr/bin/env bash
#!/bin/bash
# Output the explanatory mode instructions as additionalContext
# This mimics the deprecated Explanatory output style

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@@ -0,0 +1,9 @@
{
"name": "frontend-design",
"version": "1.0.0",
"description": "Frontend design skill for UI/UX implementation",
"author": {
"name": "Prithvi Rajasekaran, Alexander Bricken",
"email": "prithvi@anthropic.com, alexander@anthropic.com"
}
}

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@@ -1,4 +1,4 @@
#!/usr/bin/env bash
#!/bin/bash
# Output the learning mode instructions as additionalContext
# This combines the unshipped Learning output style with explanatory functionality