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Found 6,510 Skills
n8n workflow automation knowledge base. Provides n8n node information, node functionality details, workflow patterns, and configuration examples. Covers triggers, data transformation, data input/output, AI integration, covering 10 nodes. Keywords: n8n, workflow, automation, node, trigger, webhook, http request, database, ai agent.
Autonomous patent examination agent. Simulates USPTO examination by analyzing applications for compliance with 35 U.S.C. §§ 101, 102, 103, 112 and identifying potential office action issues.
Frontend website debugging toolkit using Chrome DevTools Protocol with Playwright/WebKit fallbacks. Use this skill when: (1) Debugging CSS, HTML, or JavaScript issues on a webpage, (2) Taking screenshots to verify visual changes, (3) Inspecting DOM structure or console errors, (4) Testing responsive layouts, (5) Extracting selectors for automation, (6) Self-debugging frontend work Claude has created, (7) User says "debug this page", "check my site", "why doesn't this look right", or "fix the frontend". Supports Chrome (primary) and Safari/WebKit (via Playwright). Designed for agent-driven debugging loops.
Create git commits using conventional commits with scopes. Use when the user asks to commit, make a commit, save changes, or any git commit operation. Never include Co-Authored-By lines, AI agent mentions, or any reference to Claude, AI, or automated tooling in commit messages.
Multi-agent orchestration workflow for deep research: Split a research objective into parallel sub-objectives, run sub-processes using Claude Code non-interactive mode (`claude -p`); prioritize installed skills for network access and data collection, followed by MCP tools; aggregate sub-results with scripts and refine them chapter by chapter, and finally deliver "finished report file path + summary of key conclusions/recommendations". Applicable scenarios: systematic web/data research, competitor/industry analysis, batch link/dataset shard retrieval, long-form writing and evidence integration, or scenarios where users mention "deep research/Deep Research/Wide Research/multi-agent parallel research/multi-process research".
Configure a Rails project to work with Conductor (parallel coding agents)
Autonomous p5.js visualization agent. It implements, inspects, critiques design/UX, fixes, and launches the result.
Use this agent when you need to understand the historical context and evolution of code changes, trace the origins of specific code patterns, identify key contributors and their expertise areas, or analyze patterns in commit history. This agent excels at archaeological analysis of git repositories to provide insights about code evolution and development patterns. <example>Context: The user wants to understand the history and evolution of recently modified files.\nuser: "I've just refactored the authentication module. Can you analyze the historical context?"\nassistant: "I'll use the git-history-analyzer agent to examine the evolution of the authentication module files."\n<commentary>Since the user wants historical context about code changes, use the git-history-analyzer agent to trace file evolution, identify contributors, and extract patterns from the git history.</commentary></example> <example>Context: The user needs to understand why certain code patterns exist.\nuser: "Why does this payment processing...
Galaxy project development conventions and skill routing guide. ALWAYS load this skill when working in a Galaxy codebase. Routes to appropriate skills: use /galaxy-db-migration for database/Alembic/schema changes, /galaxy-api-endpoint for creating REST API endpoints/FastAPI routers, /galaxy-testing for running or writing tests, /galaxy-linting for code formatting/linting/type checking. Use galaxy-explorer agent for codebase architecture questions.
AI agent requests effective code reviews through proper preparation, clear descriptions, and appropriate reviewer selection. Use when creating PRs, requesting feedback, or submitting for review.
This skill should be used when agents need to search codebases for text patterns or structural code patterns. Provides fast search using ripgrep for text and ast-grep for syntax-aware code search.
Byzantine consensus voting for multi-agent decision making. Implements voting protocols, conflict resolution, and agreement algorithms for reaching consensus among multiple agents.