From maestro
Review a pull request (post inline GitHub review comments) or the whole codebase (a findings report + optional ready-for-agent tech-debt issues). Asks the user for scope and focus first. Use for /maestro:code-feedback.
How this skill is triggered — by the user, by Claude, or both
Slash command
/maestro:code-feedbackThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Give code-review feedback at PR level or across the whole codebase. You coordinate review subagents and synthesize; you never approve or merge.
Give code-review feedback at PR level or across the whole codebase. You coordinate review subagents and synthesize; you never approve or merge.
Use AskUserQuestion to settle:
gh pr diff <pr>) and the PR/issue context. Fan out one review subagent per focus dimension for depth; each returns concrete findings (file, line, severity, why, suggested fix).bash "$S/pr-review.sh" <pr> --event COMMENT --body-file <summary.md> [--comments-file <inline.json>]
where inline.json is [{ "path","line","body" }, ...]. Use COMMENT (or REQUEST_CHANGES); never approve or merge — feedback only.Explore/review subagents across subsystems (correctness, security, performance, dead code, test coverage). Synthesize a findings report grouped by severity, using CONTEXT.md vocabulary and respecting docs/adr/.gh issue create ... --label maestro:ready-for-agent --assignee @me (add maestro:tech-debt for debt) so /maestro:ship or /maestro:auto can fix them; set dependencies where findings build on each other.Summarize what you reviewed, the review(s) posted, and any issues opened. Locate scripts first: source .maestro/config.sh; S="${MAESTRO_SCRIPTS:-$(pwd)/.maestro/scripts}".
Guides creation, editing, and verification of skills for AI coding agents using test-driven development with subagent scenarios. Use when authoring or debugging skills.
npx claudepluginhub neelneelpurk/maestro --plugin maestro