pr-review-coordinator — community pr-review-coordinator, community, ide skills

v1.0.0
GitHub

About this Skill

Perfect for Code Review Agents needing automated PR issue resolution and dispatching capabilities. Orchestrates PR review issue resolution by parsing review comments and dispatching to pr-issue-fixer subagents. Use when given a PR review summary, list of issues to fix, or when the user pastes revie

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

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reviewed Landing Page Review Score: 9/11

Killer-Skills keeps this page indexable because it adds recommendation, limitations, and review signals beyond the upstream repository text.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution Quality floor passed for review Locale and body language aligned
Review Score
9/11
Quality Score
57
Canonical Locale
en
Detected Body Locale
en

Perfect for Code Review Agents needing automated PR issue resolution and dispatching capabilities. Orchestrates PR review issue resolution by parsing review comments and dispatching to pr-issue-fixer subagents. Use when given a PR review summary, list of issues to fix, or when the user pastes revie

Core Value

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

Ideal Agent Persona

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

↓ Capabilities Granted for pr-review-coordinator

Automating PR review issue extraction from CodeRabbit and Claude bot feedback
Dispatching issues to `pr-issue-fixer` subagents for resolution based on priority sections and severity badges
Parsing manual review comments and integrating with Cursor bot suggestions

! Prerequisites & Limits

  • Requires integration with CodeRabbit, Claude, or Cursor tools
  • Limited to parsing specific patterns and formats from review comments
  • Dependent on `pr-issue-fixer` subagents for issue resolution

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

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 PR issue resolution and dispatching capabilities. Orchestrates PR review issue resolution by parsing review comments and dispatching to pr-issue-fixer subagents. Use when given a PR review summary, list of issues to fix, or when the user pastes revie

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 PR review issue extraction from CodeRabbit and Claude bot feedback, Dispatching issues to `pr-issue-fixer` subagents for resolution based on priority sections and severity badges, Parsing manual review comments and integrating with Cursor bot suggestions.

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 integration with CodeRabbit, Claude, or Cursor tools. Limited to parsing specific patterns and formats from review comments. Dependent on `pr-issue-fixer` subagents for issue resolution.

↓ 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.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

pr-review-coordinator

Install pr-review-coordinator, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

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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