From pair-review
Fetches AI-generated code review suggestions from pair-review, triages validity, applies fixes to actionable ones, and reports summary. Use to address AI feedback after pair-review analysis.
npx claudepluginhub in-the-loop-labs/pair-review --plugin pair-reviewThis skill uses the workspace's default tool permissions.
Fetch AI-generated suggestions from pair-review and make code changes to address the valid ones.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
Searches prompts.chat for AI prompt templates by keyword or category, retrieves by ID with variable handling, and improves prompts via AI. Use for discovering or enhancing prompts.
Checks Next.js compilation errors using a running Turbopack dev server after code edits. Fixes actionable issues before reporting complete. Replaces `next build`.
Fetch AI-generated suggestions from pair-review and make code changes to address the valid ones.
Determine whether this is a local review or a PR review:
repo and prNumber params.path (absolute cwd) and headSha (git rev-parse HEAD) params.Call mcp__pair-review__get_ai_suggestions with the review context params. This returns suggestions from the latest analysis run by default.
If the user wants suggestions from a specific analysis run, call mcp__pair-review__get_ai_analysis_runs first to list available runs, then pass the appropriate runId to get_ai_suggestions.
Only active and adopted suggestions are included (dismissed ones are excluded).
If no suggestions are returned, tell the user there are no AI suggestions to address.
AI suggestions are not human-curated — apply judgment. For each suggestion:
Use the ai_confidence field as a signal but not a hard threshold — low-confidence suggestions can still be valid.
After processing all suggestions, provide a summary: