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Found 1,671 Skills
Replace with a description of what this skill does and when Claude should use it. Include keywords that help agents discover and activate this skill.
Progressive context refinement pattern for subagents. Solves the problem of agents not knowing what context they need until they start working. Uses a 4-phase loop: DISPATCH, EVALUATE, REFINE, LOOP.
A guide for creating effective Skills. It is used when users want to create new Skills (or update existing Skills) to extend Claude's capabilities, including professional knowledge, workflows or tool integration.
Exhaustive, source-accurate guide for building iMessage applications using @photon-ai/imessage-kit (Basic) and @photon-ai/advanced-imessage-kit (Advanced). Covers every method, type, option, event, and pattern for iMessage automation, AI agents, and chat bots.
LLM app development with RAG, prompt engineering, vector databases, and AI agents
Manage tasks, track progress, and log daily updates via the ai-todo CLI. Trigger scenarios: 1) EXPLICIT — user mentions tasks, todos, to-do lists, progress tracking, daily standup, sprint planning, project management, work logs, or task completion. 2) POST-ACTION (proactive) — after git commit, git push, deploy to Vercel, merge PR, release, or any significant milestone (feature implemented, bug fixed, refactor done), proactively log progress and update/complete related tasks. When git-tools or vercel:deploy skill finishes, ALWAYS trigger this skill to record what was accomplished. 3) PRE-ACTION (proactive) — when user discusses implementation plans, architecture design, feature breakdown, technical specs, RFC, sprint planning, or requirement analysis, proactively suggest creating tasks to track planned work. When brainstorming skill completes, trigger this skill to convert outcomes into trackable tasks. 4) SESSION-END — when a work session involves substantial code changes, suggest a progress summary before ending. This skill connects to ai-todo (https://ai-todo.stringzhao.life) for persistent task management across sessions.
Semantic search skill for retrieving code and documentation from the ChromaDB vector store. Use when you need concept-based search across the repository (Phase 2 of the 3-phase search protocol). V2 includes L4/L5 retrieval constraints.
Practical AI agent workflows and productivity techniques. Provides optimized patterns for daily development tasks such as commands, shortcuts, Git integration, MCP usage, and session management.
Bootstrap AGENTS.md as a short table-of-contents plus a structured docs/ directory (architecture, product specs, acceptance tests, ADRs, exec plans, quality grades). Use when AGENTS.md is missing, when asked to "create AGENTS.md", "bootstrap project for agents", or "set up agent context".
Browser automation for AI agents. Use when the user needs to interact with websites, navigate pages, fill forms, click buttons, take screenshots, extract data, test web apps, or automate any browser task. Triggers include "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data", "test this web app", "login to a site", or any task requiring programmatic web interaction.
Automated code review for pull requests using multiple specialized agents
Create or update AgentSkills for CoWork-OSS. Use when designing, structuring, or packaging skills. Supports JSON format with requirements, installation specs, and metadata.