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Found 3,749 Skills
Diff-aware AI browser testing — analyzes git changes, generates targeted test plans, and executes them via agent-browser. Reads git diff to determine what changed, maps changes to affected pages via route map, generates a test plan scoped to the diff, and runs it with pass/fail reporting. Use when testing UI changes, verifying PRs before merge, running regression checks on changed components, or validating that recent code changes don't break the user-facing experience.
Post-task review. Extract learnings, classify, write to memory layers, and reconcile GitHub issues.
Use this skill when the user asks to commit code, create a commit, or save changes to git
peach-harness 버전 업데이트 → CHANGELOG.md 자동 생성 → develop 커밋/푸시 → main PR 생성 → PR 머지 → GitHub Release 생성까지 일괄 처리하는 릴리스 스킬. 변경 내용 분석 후 사용자가 major/minor/patch를 직접 선택. 승인 1회 후 일괄 실행. "릴리스", "버전 업", "release", "main 머지", "배포 준비" 키워드로 트리거. peach-harness 저장소에서만 사용한다.
Use the GitHub CLI (gh) to perform core GitHub operations: auth status, repo create/clone/fork, issues, pull requests, releases, and basic repo management. Trigger for requests to use gh, manage GitHub repos, PRs, or issues from the CLI.
A step-by-step practice tool for LeetCode medium-difficulty interview questions. It is triggered when users want to practice algorithm problems, brush up on LeetCode, prepare for technical interviews, or say "Give me a problem", "Next problem", "Generate scaffold", "Start practicing". It supports categorized practice by problem type (DP, Linked List, Tree, Graph, Sliding Window, Two Pointers, Hash Table, Binary Search, Stack, Heap, Backtracking, Interval, String, Union Find), generates Python scaffolds with test cases for each problem, tracks learning progress via Markdown tables, and guides users to think independently before providing solutions. It supports the goal of 3 problems per day, counts progress via `git diff README.md` and submits to Git.
Set up and maintain a persistent, LLM-managed knowledge base for a digital health project — turning clinical observations, papers, interviews, and planning docs into a compounding, interlinked wiki.
Use before any implementation start — auto-detects and fixes git state issues (branch, dirty files, remote sync) with one confirmation per fix. Trigger on "start implementation", "implement this plan", "start coding", "execute plan", "開始實作", "執行計劃", or any signal that coding is about to begin.
Maintainer workflow for OpenClaw GitHub Security Advisories (GHSA). Use when Codex needs to inspect, patch, validate, or publish a repo advisory, verify private-fork state, prepare advisory Markdown or JSON payloads safely, handle GHSA API-specific publish constraints, or confirm advisory publish success.
Ship a new dtctl release — bump version, write changelog entries, run tests, commit, tag, push, and write GitHub release notes. Use this skill whenever the user says "release", "ship it", "cut a release", "new version", "bump version", "publish", or asks about the dtctl release process. Also use when the user wants to update CHANGELOG.md for a release or write GitHub release notes.
Automate the full release lifecycle — version bump, changelog, README update, git tag, GitHub release, and PyPI/npm publishing. Use this skill whenever the user wants to cut a release, bump a version, tag and push, create a GitHub release, generate release notes or a changelog, publish to PyPI or npm, or asks what changed since the last release. Even if the user just says ship it, make a release, or tag this version — this skill should handle it. Don't use for routine commit/push, opening PRs, or publishing to VS Code Marketplace/App Store (use the dedicated skills).
Causal digital twin for marketing simulation — predict campaign ROI, run counterfactual KOL swaps, and audit causal graphs before spending a dollar.