review-code

# Review Code Run six AI code reviews in parallel and return combined findings. ## Step 1: Determine the Scope Determine what to review: - If a specific **diff command** was provided (e.g., `git diff --cached`), use that. - If a **file list or directory** was provided, review those files directly. - If **neither** was provided, default to diffing against the repository's default branch (detect via `gh repo view --json defaultBranchRef --jq '.defaultBranchRef.name'`). ## Step 2: Run Six Reviews in Parallel Launch six Agent tool calls in a single message so they run concurrently (`model: "opus"`, do not set `run_in_background`). Each agent's prompt includes the scope from Step 1 and instructs it to invoke its assigned skill via the Skill tool: - `/review-test-coverage` - `/review-correctness` - `/review-security` - `/review-quality` - `/review-api-usage` - `/peer-review` For the `/peer-review` agent, the Agent tool call prompt instructs the subagent to: (1) read the SKILL.md of every other review skill listed above, (2) extract their review criteria and "what to look for" sections, (3) compose a single comprehensive review prompt covering all dimensions with the diff command from Step 1, being verbose about what to check, and (4) invoke `/peer-review` via the Skill tool with the composed prompt. ## Step 3: Aggregate Combined Findings Wait for all six agents to complete. Aggregate their findings with attribution (reviewer name, file path, description). ## Rules - If ...