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Found 9,576 Skills
Create 600x600 Instagram-style card news series automatically with optional background images. User provides topic, colors, and optional images - Claude generates content and creates multiple cards with proper text wrapping.
Generate comprehensive AGENTS.md documentation for backend projects with complete API specifications, business rules, data models, and data flows. Use when (1) Creating AGENTS.md from existing CLAUDE.md, (2) Documenting backend API modules with FastAPI routes, (3) Migrating documentation to AGENTS.md/CLAUDE.md symlink structure, (4) Adding complete API interface documentation to existing specs, (5) Creating module-level AGENTS.md for specific features (mcp, teamo_code, file_system, etc.)
Analyze meeting notes to find action items and create Jira tasks for assigned work. When Claude needs to: (1) Create Jira tasks or tickets from meeting notes, (2) Extract or find action items from notes or Confluence pages, (3) Parse meeting notes for assigned tasks, or (4) Analyze notes and generate tasks for team members. Identifies assignees, looks up account IDs, and creates tasks with proper context.
Skill for PHP/Laravel backend development following project conventions. Use when creating or editing PHP code, models, services, controllers, tests, or any backend logic. Loads all backend rules from .claude/rules/backend/ and .claude/rules/dataclasses/.
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.
Expert ReactFlow architect for building interactive graph applications with hierarchical node-edge systems, performance optimization, and auto-layout integration. Use when Claude needs to create or optimize ReactFlow applications for: (1) Interactive process graphs with expand/collapse navigation, (2) Hierarchical tree structures with drag & drop, (3) Performance-optimized large datasets with incremental rendering, (4) Auto-layout integration with Dagre, (5) Complex state management for nodes and edges, or any advanced ReactFlow visualization requirements.
Claude designs scalable React component architectures using compound components, custom hooks, and state machines. Use when building reusable UI systems or complex component APIs.
Comprehensive document creation, editing, and analysis with support for tracked changes, comments, formatting preservation, and text extraction. When Claude needs to work with professional document...
Fetch unresolved PR comments (both code-level and PR-level), validate issues, and fix them. Also checks CI status and fixes failing tests, lint errors, and build issues. Use when reviewing and addressing GitHub PR feedback. Filters out resolved comments, keeps only the last claude[bot] comment per thread, validates issues, posts review report as a PR comment, then fixes validated issues.
Use this skill whenever Claude needs to fetch, read, extract, or analyze content from a web URL. Converts web pages into clean, token-efficient markdown using the markdown.new service instead of fetching raw HTML. Trigger when the user provides a URL and wants its content summarized, quoted, analyzed, compared, extracted, or processed. Also trigger when Claude needs to read documentation, blog posts, articles, wikis, release notes, changelogs, or any web-hosted text content. Even if the user just pastes a URL with no instruction, use this skill. Do NOT use for binary files, authenticated pages, or API endpoints returning JSON/XML.
Build vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with filters in Claude Code/Codex.
Anthropic's method for training harmless AI through self-improvement. Two-phase approach - supervised learning with self-critique/revision, then RLAIF (RL from AI Feedback). Use for safety alignment, reducing harmful outputs without human labels. Powers Claude's safety system.