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Found 323 Skills
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Add a GitHub Actions workflow that posts code-size and cost statistics — lines of code, per-language breakdown, complexity, and a COCOMO "what would this cost to build" estimate — as a sticky comment on every pull request, using scc. Use when you want a per-PR code-stats or "worth of the codebase" comment, to show LOC / language breakdown or an estimated development cost/effort on PRs, to set up scc (Sloc Cloc and Code) in CI, to post or upsert a single self-updating bot comment from GitHub Actions, or to change the COCOMO salary/currency. Covers fork-PR token limits, runner architecture, version pinning, and comment pagination.
Use when each language SDK lives in a separate repository. Covers cross-repo workflow dispatch, PR status reporting, PR reconciliation on merge/close. Triggers on "multi-repo SDK", "separate SDK repositories", "cross-repo workflows", "SDK PR synchronization", "spec repo triggers SDK repos".
Guides usage of the GitHub CLI (gh) for interacting with GitHub repositories, PRs, issues, and API. Use when working with GitHub resources instead of WebFetch or curl.
Use when a user asks to debug or fix failing GitHub PR checks that run in GitHub Actions; use `gh` to inspect checks and logs, summarize failure context, draft a fix plan, and implement only after explicit approval. Treat external providers (for example Buildkite) as out of scope and report only the details URL. Originally from OpenAI's curated skills catalog.
Compare FinOps metrics across multiple repositories in an organization
Optimizes GitHub Actions CI/CD workflows through test sharding, intelligent caching, and workflow parallelization. Use when CI execution time exceeds limits, costs are too high, or workflows need parallelization.
Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.
Expert knowledge for Azure Artifacts development including best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when managing feeds, upstream sources, package publishing/restore, GitHub Actions CI/CD, or npm/NuGet config, and other Azure Artifacts related development tasks. Not for Azure DevOps (use azure-devops), Azure Pipelines (use azure-pipelines), Azure Repos (use azure-repos), Azure Boards (use azure-boards).
CI/CD status queries for GitHub Actions (gh) and GitLab CI (glab). Check pipeline status, failing jobs, workflow runs, job logs, and merge readiness. Use when checking CI status, debugging build failures, viewing job logs, watching pipeline progress, or configuring gh/glab CI read-only allowlists. Not for PR workflows (git-pr), git commits (git-commit), or deploy/release ops
Generates CI/CD pipeline configurations for test automation with GitHub Actions, Jenkins, GitLab CI, and Azure DevOps. Includes TestMu AI cloud integration. Use when user mentions "CI/CD", "pipeline", "GitHub Actions", "Jenkins", "GitLab CI". Triggers on: "CI/CD", "pipeline", "GitHub Actions", "Jenkins", "GitLab CI", "Azure DevOps", "automated testing pipeline".
[user/auto] 하나의 pull request의 review feedback 또는 지원 가능한 GitHub Actions 실패를 fresh state로 읽고, 자연스러운 해결 계획을 합의한 뒤 필요 시 `seed.md`를 사용해 수정·검증·제한된 publication까지 처리합니다.