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v1.0.0
GitHub

About this Skill

Ideal for Code Review Agents needing automated PR review feedback parsing and issue dispatching capabilities. pr-review-coordinator is a skill that parses PR review feedback and dispatches issues to subagents for resolution, integrating with tools like CodeRabbit and Claude bot.

Features

Parses issues from CodeRabbit using actionable comments and severity badges
Extracts priority sections from Claude bot reviews, including Critical/High/Medium/Low sections
Dispatches issues to pr-issue-fixer subagents for automated resolution
Supports manual issue extraction using bull syntax
Integrates with Cursor bot for numbered suggestions with code snippets

# Core Topics

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

Quality Score

Top 5%
57
Excellent
Based on code quality & docs
Installation
SYS Universal Install (Auto-Detect)
Cursor IDE Windsurf IDE VS Code IDE
> npx killer-skills add taucad/tau/pr-review-coordinator

Agent Capability Analysis

The pr-review-coordinator MCP Server by taucad is an open-source Categories.community integration for Claude and other AI agents, enabling seamless task automation and capability expansion. Optimized for how to use pr-review-coordinator, pr-review-coordinator setup guide, pr-review-coordinator vs manual review.

Ideal Agent Persona

Ideal for Code Review Agents needing automated PR review feedback parsing and issue dispatching capabilities.

Core Value

Empowers agents to parse PR review feedback from CodeRabbit, Claude bot, and Cursor bot, and dispatch issues to subagents like `pr-issue-fixer` for resolution, utilizing severity badges, priority sections, and code suggestions.

Capabilities Granted for pr-review-coordinator MCP Server

Automating PR review feedback parsing for CodeRabbit
Dispatching issues to subagents for resolution with Claude bot
Parsing numbered suggestions with code snippets from Cursor bot

! Prerequisites & Limits

  • Requires integration with CodeRabbit, Claude bot, or Cursor bot
  • Limited to parsing specific patterns and formats
Project
SKILL.md
2.7 KB
.cursorrules
1.2 KB
package.json
240 B
Ready
UTF-8

# Tags

[No tags]
SKILL.md
Readonly

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

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