pr-review-coordinator — community pr-review-coordinator, community, ide skills, Claude Code, Cursor, Windsurf

v1.0.0
GitHub

About this Skill

Perfect for Code Review Agents needing automated issue parsing and dispatching capabilities. The AI-native CAD platform

taucad taucad
[12]
[1]
Updated: 2/23/2026

Agent Capability Analysis

The pr-review-coordinator skill by taucad is an open-source community AI agent skill for Claude Code and other IDE workflows, helping agents execute tasks with better context, repeatability, and domain-specific guidance.

Ideal Agent Persona

Perfect for Code Review Agents needing automated issue parsing and dispatching capabilities.

Core Value

Empowers agents to parse PR review feedback from sources like CodeRabbit, Claude bot, and Cursor bot, and dispatch issues to subagents for resolution using severity badges, priority sections, and code suggestions.

Capabilities Granted for pr-review-coordinator

Automating issue extraction from code reviews
Dispatching issues to subagents for resolution
Parsing feedback from multiple sources like CodeRabbit and Claude bot

! Prerequisites & Limits

  • Requires access to PR review feedback data
  • Limited to parsing specific patterns and sources
Labs Demo

Browser Sandbox Environment

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Boot Container Sandbox

pr-review-coordinator

Install pr-review-coordinator, an AI agent skill for AI agent workflows and automation. Works with Claude Code, Cursor, and Windsurf with one-command setup.

SKILL.md
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PR Review Coordinator

Parses PR review feedback and dispatches issues to pr-issue-fixer subagents for resolution.

Workflow

Step 1: Parse Issues

Extract issues from the review. Look for:

SourcePatterns to Find
CodeRabbit"Actionable comments", severity badges, file paths with line numbers
Claude botPriority sections (Critical/High/Medium/Low), code suggestions
Cursor botNumbered suggestions with code snippets
ManualBulleted/numbered issues with descriptions

For each issue, extract:

- File: (required) path/to/file.ts
- Lines: (optional) 45-50 or 123
- Priority: Critical > High > Medium > Low
- Category: cache-management | error-handling | performance | code-style | testing | documentation | security | architecture
- Problem: What's wrong
- Suggestion: The fix (preserve code snippets!)

Step 2: Group and Prioritize

  1. Sort by priority (Critical first)
  2. Group by file (same-file issues run sequentially)
  3. Flag conflicts (multiple issues on same lines)

Step 3: Dispatch to Fixers

Use the Task tool with subagent_type="pr-issue-fixer":

Use Task tool:
- subagent_type: "pr-issue-fixer"
- prompt: |
    Fix this PR review issue:
    - File: [path]
    - Lines: [numbers]
    - Priority: [level]
    - Category: [category]
    - Problem: [description]
    - Suggestion: [fix with code snippets]
    - Context: [relevant architecture info]
    
    After fixing, run verification and report status.

Parallelization:

  • PARALLEL: Issues in different files
  • SEQUENTIAL: Issues in the same file

Step 4: Compile Results

After all fixers complete:

markdown
1## PR Review Resolution Summary 2 3### Processed: X issues 4 5| Status | File | Issue | 6|--------|------|-------| 7|| path/file.ts | Brief description | 8| ⚠️ | path/other.ts | Partial - [what remains] | 9|| path/broken.ts | [reason] | 10 11### Verification 12- Typecheck: ✅/❌ 13- Tests: N passed, M failed 14 15### Follow-up 16- [ ] Items needing human review

Step 5: Final Verification

Run after all issues addressed:

bash
1pnpm nx typecheck <project> 2pnpm nx test <project> --watch=false

Example

Input:

CodeRabbit review:
1. [High] apps/ui/utils/cache.ts:45 - Cache unbounded, add LRU
2. [Medium] apps/ui/worker.ts:123 - Memory leak in cleanup

Actions:

  1. Parse → 2 issues, 2 different files
  2. Dispatch in parallel (different files)
  3. Collect results
  4. Run final verification
  5. Report summary

Guidelines

  • Preserve code snippets from suggestions
  • Skip "nitpick" or "optional" issues unless requested
  • For vague issues, include surrounding review context
  • Flag conflicting suggestions for human decision

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is pr-review-coordinator?

Perfect for Code Review Agents needing automated issue parsing and dispatching capabilities. The AI-native CAD platform

How do I install pr-review-coordinator?

Run the command: npx killer-skills add taucad/tau/pr-review-coordinator. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for pr-review-coordinator?

Key use cases include: Automating issue extraction from code reviews, Dispatching issues to subagents for resolution, Parsing feedback from multiple sources like CodeRabbit and Claude bot.

Which IDEs are compatible with pr-review-coordinator?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for pr-review-coordinator?

Requires access to PR review feedback data. Limited to parsing specific patterns and sources.

How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add taucad/tau/pr-review-coordinator. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use pr-review-coordinator immediately in the current project.

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