pr-toolsreview-pr

name	pr-toolsreview-pr
description	This skill should be used when the user asks to "review this PR", "check the pull request", "review PR
metadata	{"author":"aaronbassett"}

PR Review

Orchestrate a comprehensive pull request review by launching multiple specialist agents in parallel.

Your Task

When this skill is invoked, you should:

1. Validate prerequisites and parse arguments (including --dry-run flag)
2. Fetch PR metadata to understand what changed
3. Launch pr-validator agent to check reviewability and detect languages/SDD
4. Launch parallel review agents based on detected languages and patterns
5. Launch pr-commenter agent to consolidate findings and post/update PR comment
6. Present results to the user with a summary

Dependencies

• pr-tools:utils - Uses utility scripts for GitHub CLI validation and PR argument parsing
• devs plugin - Provides language-specific review skills (python-core, typescript-core, rust-core, react-core)

Invocation Examples

• /pr-tools:review-pr - Current branch PR
• /pr-tools:review-pr --pr 123 - Specific PR in current repo
• /pr-tools:review-pr --repo user/repo --pr 123 - Any repo PR
• /pr-tools:review-pr --dry-run - Save to /tmp instead of posting
• /pr-tools:review-pr --pr 123 --dry-run - Dry run for specific PR

Workflow Steps

1. Setup and Validation

• Invoke utils:find-claude-plugin-root skill
• Run python3 /tmp/cpr.py pr-tools to get PLUGIN_ROOT
• Set SCRIPTS="${PLUGIN_ROOT}/utils/scripts"
• Run "${SCRIPTS}/github-cli-ready.sh" to ensure gh CLI is authenticated
• Extract --dry-run flag from arguments if present
• Run parse-pr-args.py with remaining arguments to get repo and PR number

2. Fetch PR Metadata

Use gh pr view "$PR_NUM" --repo "$REPO" --json number,title,state,isDraft,author,body,files,additions,deletions to get:

• PR state (open/closed/merged)
• Draft status
• Title
• Changed files
• Line additions/deletions

3. Launch pr-validator Agent

Launch the pr-tools:pr-validator agent with the PR data to:

• Check if PR is draft, closed, or trivial (skip if yes)
• Detect programming languages from changed file extensions
• Detect if SDD is in use (specs/**/tasks.md modified)
• Return JSON with reviewable status, languages array, sddDetected boolean

If PR is not reviewable:

• Explain why (draft/closed/trivial/etc)
• If not dry-run, post an explanatory comment
• Exit gracefully

4. Launch Parallel Review Agents

Using a SINGLE Task tool call with multiple invocations, launch all these agents in parallel:

For each detected language:

• Agent: pr-tools:code-reviewer
• Model: Opus
• Task: Review PR for {language} code using /devs:{language}-core skill
• Pass: PR diff, PR context, language name

TODO Finder:

• Agent: pr-tools:todo-finder
• Model: Haiku
• Task: Find TODO/FIXME/HACK/XXX/NOTE/BUG comments in added lines
• Pass: PR diff

SDD Task Verifier (conditional):

• Agent: pr-tools:sdd-task-verifier
• Model: Opus
• Task: Verify checked SDD tasks; deep review for P1 tasks
• Pass: PR diff, tasks.md content
• Only launch if sddDetected is true

Wait for all agents to complete and collect their outputs.

5. Handle Partial Failures

If some agents fail or timeout:

• Continue with available results
• Mark failed reviews clearly in the output
• Include partial results where possible

6. Launch pr-commenter Agent

Launch the pr-tools:pr-commenter agent with:

• All agent outputs (code reviews, TODOs, SDD verification)
• PR number and repository
• Dry run flag
• Agent success/failure status

The agent will:

• Merge all findings
• Deduplicate similar issues
• Organize by severity (critical → important → suggestions)
• Format the report with proper markdown
• Check for existing Claude Code review comment
• Update existing comment or create new one
• Post comment (or save to /tmp/pr-review-{PR_NUM}.md if dry-run)

7. Present Results to User

After all agents complete, present a clean summary:

If dry-run:

Review complete. Saved to /tmp/pr-review-{number}.md

Summary:
- {count} critical issues
- {count} important improvements
- {count} suggestions
[if SDD detected: - {verified}/{total} P1 tasks verified]

If posted:

Review posted successfully.

View PR: https://github.com/{repo}/pull/{number}

Summary:
- {count} critical issues
- {count} important improvements
- {count} suggestions
[if SDD detected: - {verified}/{total} P1 tasks verified]

Error Handling

Handle these common errors gracefully:

• PR Not Found: Inform user to check PR number and repository
• Permission Denied: Inform user to run gh auth login
• Rate Limiting: Save review to /tmp and inform user to wait
• Agent Timeout: Continue with partial results and note what failed

Implementation Notes

• Use gh pr view with --json for structured data (easier to parse)
• Use gh pr diff to get diff content for agents
• Use gh api for finding existing comments
• Always sanitize inputs before passing to gh CLI
• Launch ALL review agents in a single parallel Task call for maximum performance
• Don't echo progress during execution - present clean results at the end
• The user doesn't need to know about intermediate steps unless there are errors

Agent Parallelism Example

When launching agents, use a single Task tool call with multiple invocations:

<invoke name="Task">
  <parameter name="subagent_type">pr-tools:code-reviewer</parameter>
  <parameter name="description">Review Python code</parameter>
  <parameter name="prompt">Review PR #123 in user/repo for Python code...</parameter>
</invoke>
<invoke name="Task">
  <parameter name="subagent_type">pr-tools:code-reviewer</parameter>
  <parameter name="description">Review TypeScript code</parameter>
  <parameter name="prompt">Review PR #123 in user/repo for TypeScript code...</parameter>
</invoke>
<invoke name="Task">
  <parameter name="subagent_type">pr-tools:todo-finder</parameter>
  < =>Find TODO comments
  Find TODOs in PR #123...

This ensures all agents run concurrently for optimal performance.

---

Converted and distributed by TomeVault — claim your Tome and manage your conversions.