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Found 1,273 Skills
Reviewer-only pass for /plan --review and cleanup artifact review
Transform outside-of-diff review files into properly formatted issue files for a given PR. Use when converting review files from ai-docs/reviews-pr-<PR>/outside/ into issue format in ai-docs/reviews-pr-<PR>/issues/. Automatically determines starting issue number and preserves all metadata (file path, date, status) from original review files.
Stack-aware review for local diffs, pull requests, and repository-wide audits. Routes review across shared policy plus language packs for TypeScript frontend, TypeScript backend/Bun, Go, Rust, and Python. Use after implementation, before merge, or when auditing an existing codebase.
Run the standard post-change validation flow after a fix, refactor, or new feature. Use when implementation work is done and you should validate the latest changes by invoking the repo's review skills, starting with review-changes and then repo-doc-maintainer, before giving the final close-out.
Use anime-style multi-role continuous conversational code review to output review opinions with natural technical anchors through strong character interaction
Post-implementation quality check via fresh-eyes review. Chain: Implement → Review (independent agent) → Resolve (if issues). Max 2 rounds. Auto-triggers for security-sensitive and data-mutation code. Not for code refactoring (use code-cleanup). Not for decision analysis (use agent-room). For post-deploy verification, see deploy-verify. For shipping and PRs, see ship.
Maintainer workflow for reviewing, triaging, preparing, closing, or landing OpenClaw pull requests and related issues. Use when Codex needs to validate bug-fix claims, search for related issues or PRs, apply or recommend close/reason labels, prepare GitHub comments safely, check review-thread follow-up, or perform maintainer-style PR decision making before merge or closure.
Refactor code with safety nets — tests green before and after, no behavior change
Multi-model agent orchestration using specialized agents for planning, coding, research, math/science, visual analysis, and adversarial review. Use when tasks are complex enough to benefit from different models' strengths, when you want adversarial review to catch blind spots, or when coordinating multi-step workflows across agent roles. Triggers on complex projects, multi-step tasks, architecture decisions, or when explicitly requested.
Loads orchestrate mode — a disciplined delivery loop that enforces BDD specs in specs/, real integration tests (no mocks), PR CI and CodeRabbit babysitting, and mandatory end-user QA via computer-use or CLI dogfooding before anything is considered done. Use when starting any non-trivial implementation task, feature build, or delivery where you want the work driven from spec to proven-shipped state rather than stopping at "tests pass".
Comprehensive pull request review using specialized agents
Branch finishing and PR preparation. Use when completing a feature branch, preparing a pull request, or cleaning up commit history.