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Found 2,519 Skills
Turn the current conversation context into a PRD and submit it as a GitHub issue. Use when user wants to create a PRD from the current context.
Break a plan, spec, or PRD into independently-grabbable GitHub issues using tracer-bullet vertical slices. Use when user wants to convert a plan into issues, create implementation tickets, or break down work into issues.
Interactive QA session where user reports bugs or issues conversationally, and the agent files GitHub issues. Explores the codebase in the background for context and domain language. Use when user wants to report bugs, do QA, file issues conversationally, or mentions "QA session".
Gate a build on browser fingerprint regressions with liarjs - save a baseline scan as JSON, diff later runs against it, and fail the job when the consistency score falls below a floor. Use when asked to add a fingerprint or headless-detection check to GitHub Actions, GitLab CI or another pipeline, to catch a regression in a Chromium build or scraping harness before it ships, or to track how a fingerprint score changes across commits.
Automate repetitive development tasks and workflows. Use when creating build scripts, automating deployments, or setting up development workflows. Handles npm scripts, Makefile, GitHub Actions workflows, and task automation.
GitHub Copilot Coding Agent 자동화. 이슈에 ai-copilot 라벨 부착 → GitHub Actions가 GraphQL로 Copilot에 자동 할당 → Copilot이 Draft PR 생성. 원클릭 이슈-to-PR 파이프라인.
AI 코딩 에이전트를 시각적 Kanban 보드에서 관리. To Do→In Progress→Review→Done 흐름으로 병렬 에이전트 실행, git worktree 자동 격리, GitHub PR 자동 생성.
Install npm packages directly from GitHub repositories using git URLs. Use when installing packages from private repos, specific branches, or unreleased versions not yet on npm registry.
List my pull requests in the current repository
List my issues in the current repository
This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
Analyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency