issue-reviews
Review open GitHub issues for priority, feasibility, project alignment, and risks.
Review open pull requests for code quality, project alignment, and risks.
How it fires
How this command gets triggered: by you, by Claude, or both.
/pr-reviewsContext preview
What this command does when you run it.
Review open pull requests for code quality, project alignment, and risks.
name: pr-reviews
Review open pull requests for code quality, project alignment, and risks.
**Argument:** `$ARGUMENTS` — optional PR number(s) to review (e.g., `9` or `9 12 15`). If empty, review all open PRs.
Use the Task tool to spawn parallel agents (one per PR). Each agent should:
Each agent should return a structured review:
After all agents complete, present a single consolidated report with:
Structured expertise management for AI agent workflows. Agents start every session from zero. The pattern your agent discovered yesterday is forgotten today. Mulch fixes this: agents call ml record to write learnings, and ml query to read them.
Repo: jayminwest/mulch
Review open GitHub issues for priority, feasibility, project alignment, and risks.
Analyze all open issues across GitHub Issues and Seeds, cross-reference with codebase health,…