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Found 1,851 Skills
Generate comprehensive OpenSpec specifications directly from the current project state. Use when the user wants to create or populate main specs by analyzing existing code, documentation, AGENTS.md, GitHub issues, and pull requests — without going through the change/proposal workflow. Ideal for bootstrapping specs on a project that already has working code but no specs yet, or for refreshing specs to match the current implementation.
Pre-build reality check for AI coding agents — scan GitHub, HN, npm, PyPI, Product Hunt to validate ideas before building
Review one pull request through a standalone, progressively disclosed workflow. Use when the user asks to review a PR, audit a pull request, prepare GitHub review comments, draft request-changes feedback, write a PR review file, or optionally post approved review comments. This skill handles exactly one PR; ask the user to choose one PR when multiple PR URLs are supplied.
You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause an
Comprehensive CI/CD pipeline patterns skill covering GitHub Actions, workflows, automation, testing, deployment strategies, and release management for modern software delivery
[Fix & Debug] ⚡⚡ Fix a GitHub issue with systematic debugging
Guides Electron app release process including build, code signing, notarization, and GitHub Release with auto-update support. Use when releasing Electron apps, creating DMG installers, setting up auto-update, or troubleshooting notarization issues.
Multi-agent PR and code review workflow for projects using multiple AI assistants (Claude, GitHub Copilot/Codex, Gemini Code Assist). Use when working with pull requests, code reviews, commits, or addressing review feedback. Teaches how to check all feedback sources (conversation, inline, reviews), respond to inline bot comments, create Fix Reports, and coordinate between agents that use different comment formats. Critical for ensuring no feedback is missed from external review bots.
Catalog GitHub starred repositories into a structured Obsidian vault with AI-synthesized summaries, normalized topic taxonomy, graph-optimized wikilinks, and Obsidian Bases (.base) index files for filtered views. Fetches repo metadata and READMEs via gh CLI, classifies repos into categories and normalized topics, generates individual repo notes with frontmatter, and creates hub notes for categories/topics/authors that serve as graph-view connection points. Use this skill when users want to: (1) Catalog or index their GitHub stars into Obsidian (2) Create a searchable knowledge base from starred repos (3) Organize and discover patterns in their GitHub stars (4) Export GitHub stars as structured markdown notes (5) Build a graph of starred repos by topic, language, or author For saving/distilling a specific URL to a note, use kcap instead. For browsing AI tweets, use ai-twitter-radar instead.
Analyze failed GitHub Action jobs for a pull request.
Run /check-onboarding, then create GitHub issues for all findings. Issues are created with priority labels and structured format. Use /fix-onboarding instead if you want to fix issues immediately.
Create product documentation with help pages, AI-generated screenshots, Remotion product videos with TTS narration and background music, and GitHub README visual documentation. Use when asked to create documentation, a help page, product tour video, generate screenshots, add user guides, or enrich a GitHub README.