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Found 2,777 Skills
Generate development tasks from a PRD file with sprint-based planning. Use when users ask to "create tasks from PRD", "break down the PRD", "generate sprint tasks", or want to convert product requirements into actionable development tasks. Creates/updates tasks.md and always reports GitHub links to changed files.
Prepare and publish GitHub releases. Sanitizes code for public release (secrets scan, personal artifacts, LICENSE/README validation), creates version tags, and publishes via gh CLI. Trigger with 'release', 'publish', 'open source', 'prepare for release', 'create release', or 'github release'.
Use this skill when managing git branches, releases, or hotfixes according to the Gitflow workflow. It enforces naming conventions and synchronization policies.
Generate living documentation from git diffs — analyze branch comparisons or last N commits to automatically create or update Component Docs, Changelogs, ADRs, and Runbooks in Markdown with Obsidian-compatible YAML frontmatter. Use when asked to: (1) document changes from a branch diff, (2) generate release notes, (3) update service documentation, (4) analyze commits and produce docs, (5) create ADRs from architectural changes. Triggers: 'document the diff', 'generate docs from commits', 'update docs for [service]', 'release notes', 'what changed and document it', 'living docs', 'analiza el diff y genera documentacion'.
Create Git commit messages that conform to Conventional Commits 1.0.0, including type/scope/description format, optional body, trailer-style footers, and explicit BREAKING CHANGE signaling. Use when users ask to draft commit messages, commit current changes, rewrite a commit message into conventional format, or enforce conventional commit standards in a repo.
Package a agent skill into a complete GitHub repository ready for distribution via skills.sh. Generates README, LICENSE, plugin.json, marketplace.json, .gitignore, and the proper directory structure. Optionally initializes a git repo and creates a GitHub repository. This skill should be used when publishing a skill, packaging a skill for distribution, preparing a skill repo, or when the user says 'publish skill', 'package skill', 'release skill', '发布技能', '打包 skill'.
CI/CD pipeline design with GitHub Actions, Docker, Kubernetes, Helm, and GitOps patterns
Automatically discover and recommend relevant Claude skills when users encounter tasks that could benefit from specialized capabilities. Use this skill proactively when detecting any of these patterns: (1) User mentions working with specific file formats (PDF, DOCX, Excel, images, etc.), (2) User describes repetitive or specialized tasks (data analysis, code review, deployment, testing, document processing), (3) User asks if there's a tool or capability for something, (4) User struggles with domain-specific work (React development, SQL queries, DevOps, content writing), (5) User mentions needing best practices or patterns for a technology, (6) Any situation where a specialized skill could save time or improve quality. Search using SkillsMP API (if configured), skills.sh leaderboard, or GitHub as fallback. Recommend 1-3 most relevant skills and offer to install via npx skills add.
Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
Download images from private GitHub issues and PRs using authenticated signed URLs.
Autonomous ML experimentation framework by Andrej Karpathy. AI agent autonomously modifies train.py, runs 5-minute GPU experiments, evaluates with val_bpb, and commits only improvements via git ratcheting — so you wake up to 100+ experiments and a better model. Use when setting up autoresearch, writing program.md directives, interpreting results, configuring hardware, or running overnight autonomous ML experiments. Triggers on: autoresearch, autonomous ml experiments, overnight gpu experiments, karpathy autoresearch, train.py experiments, val_bpb, program.md research directives, ai runs experiments.
Turn many commits into a curated grouped squash summary compatible with the opinionated wording style of git-visual-commits. Use this skill whenever the user asks to squash a branch into a concise summary, write a squash-and-merge summary, summarize a commit range or PR as grouped lines, clean up noisy commit history, or asks for a curated summary without committing. Treat phrases like "squash summary", "squash commit message", "summarize this branch", "turn these commits into one summary", "rewrite these 10+ commits", or "draft the squash summary" as automatic triggers. This skill is non-mutating: it inspects git history and diffs, then returns grouped summary lines only. It preserves technical identifiers where possible, groups by intent rather than chronology, merges overlapping commits, drops low-signal noise, uses strong concrete verbs, favors readable GitHub and terminal output, keeps every output line at or below 72 characters, and does not invent unsupported changes or drift into changelog wording.