install-skill-tracker
This skill installs a complete Claude Code skill tracking system using hooks to automatically log skill usage, execution duration, token usage, and user…
Skills
Find an Agent Skill for your task. Read the guide and copy the install command.
Updated 11-11 00:16
Agents & models
26,098 results
kai-todo
Manage Kai's task queue - capture topics to work on when Claude usage is available. Commands: - /kai-todo add <topic> - Add a new task to the queue -…
loop
Execute task with Ralph Loop pattern: Execute -> Validate -> Iterate until VERIFIED_DONE. Enforces iteration limits per model (Claude: 25, MiniMax: 50,…
mcp_orchestration
Tool discovery, routing, chaining, error handling, and composition for the 34+ MCP scheduling tools. Use when orchestrating complex multi-tool workflows,…
multi-agent-patterns
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple…
ollama-rag
Build RAG systems with Ollama local + cloud models. Latest cloud models include DeepSeek-V3.2 (GPT-5 level), Qwen3-Coder-480B (1M context), MiniMax-M2. Use for…
prompt-caching
Caching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache…
prompt-engineer
Expert prompt engineer specializing in advanced prompting techniques, LLM optimization, and AI system design. Masters chain-of-thought, constitutional AI, and…
prompt-engineering
Expert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies,…
prompting
Prompt engineering standards and context engineering principles for AI agents based on Anthropic best practices. Covers clarity, structure, progressive…
retrospecting
Performs comprehensive analysis of Claude Code sessions, examining git history, conversation logs, code changes, and gathering user feedback to generate…
running-coach-index
Reference catalog for all running coach AI skills, shared TypeScript contracts, safety guardrails, and telemetry conventions. Use when working with any running…
skill development
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill…
statusline-setup
Guide for configuring Claude Code's status line with customizable display options and progress bars. This skill should be used when setting up or customizing…
storyboard-generator
Create detailed storyboards from ad scripts with 2-4 second elements, B-roll specs, and AI generation prompts. Use when preparing scripts for editors, planning…
structured-outputs-advisor
Use PROACTIVELY when users need guaranteed schema compliance or validated tool inputs from Anthropic's structured outputs feature. Expert advisor for choosing…
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session
systems-thinking
Analyze complex systems, feedback loops, and leverage points. Avoid linear thinking for complex problems.
veo3-prompter
Craft professional video prompts for Google Veo 3.1 using cinematic techniques, audio direction, and timestamp choreography. Use when generating AI videos,…
a2a-protocol
LiteLLM-RS A2A Protocol Architecture. Covers Agent-to-Agent communication, JSON-RPC 2.0 messaging, multi-provider orchestration, agent registry, and task state…
caching-architecture
LiteLLM-RS Caching Architecture. Covers Redis caching, vector database semantic caching, multi-tier cache strategy, TTL management, and cache invalidation…
error-handling
LiteLLM-RS Error Handling Architecture. Covers two-tier error hierarchy, ProviderError factory methods, HTTP status mapping, retry logic, and error context…
mcp-gateway
LiteLLM-RS MCP Gateway Architecture. Covers Model Context Protocol, JSON-RPC 2.0 implementation, multi-transport support (HTTP, SSE, WebSocket, Stdio), and…
specrail-plan-tasks
Use when turning an approved SpecRail product and technical spec into the numbered `tasks.md` plan. Creates stable task IDs, owners, done-when conditions,…