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Found 16 Skills
Comprehensive pull request management with swarm coordination for automated reviews, testing, and merge workflows. Use for PR lifecycle management, multi-reviewer coordination, conflict resolution, and intelligent branch management.
Comprehensive GitHub code review with AI-powered swarm coordination
Huawei Cloud MRS Hive SQL specification checking skill. Checks SQL statements against defined syntax and specification rules using the automated checker engine. No extra manual analysis beyond defined rules. Trigger:"Hive SQL优化"、"检查Hive SQL"、"Hive SQL检查"、"Hive SQL规范"、"Hive SQL语法"、"Hive SQL review"
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
Fix review comments on current PR
Unified plan review — stack detection, Context7 staleness scan, multi-model counselors dispatch, and prioritized triage. Three modes: full pipeline (default), --dry-run (copyable prompt), --feedback (analyze external input).
Integrate the PR base, run persistent read-only reviewers, fix and re-review findings, validate with repo-native commands, address review bots, and compare model quality.
Multi-agent QA review team for code changes. This skill should be used when the user asks to "review my code", "run QA", "qa-team", "review this branch", "code review", "check my changes", or wants a comprehensive multi-perspective code review of the current branch's changes. Spawns parallel specialist agents (security, database, reliability, compatibility, data integrity, performance, frontend, copy) that independently review the diff and produce a converged report. Also includes two generalist reviewers for convergence validation.
Validate your code changes through the no-mistakes pipeline - automated code review, tests, lint, docs, push, PR, and CI - before they reach upstream. Use when the user asks to run no-mistakes, gate or ship or validate their changes, push safely, asks you to do a task and then validate it, or invokes /no-mistakes.
Babysit a pull request through its bot review rounds: verify, fix, reply, resolve. Use for any babysit or watch-the-PR ask.
Detects common LLM coding agent artifacts by spawning 4 parallel subagents
Comprehensive pull request review using specialized agents