claude-code-guide
Use this agent when the user asks questions ("Can Claude...", "Does Claude...", "How do I...") about Claude Code (the CLI tool) - features, hooks, slash commands, MCP servers, settings, IDE integrations, keyboard shortcuts, or the Claude API (formerly Anthropic API) - API usage, tool use, Anthropic SDK usage.
using-orbty-eazy
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
neuro-check
This skill should be used for quick inline brain-faithfulness validation during coding. Use when the user asks "is this brain-faithful?", "is this naming correct?", "should this be driver or modulator?", or similar quick neuroscience questions. For deep analysis or KB verification, recommend the neuro-expert agent instead.
using-superpowers
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
spec-kit-claude-code-workflow
A conceptual skill for guiding the Spec-Kit + Claude Code development workflow
production-deployment
Expert guidance for deploying Agno AGI agents and AI applications to production using Docker, FastAPI, monitoring, CI/CD, and cloud platforms
rlm-repl-environment
Technical implementation guide for the RLM REPL environment. Covers code patterns, llm_query usage, answer signaling, and common implementation patterns.
memoria-usuario
Gerencia memoria persistente do usuario. Use para salvar/recuperar preferencias, fatos aprendidos e contexto entre sessoes. Exemplos: 'lembre que prefiro respostas diretas', 'o que voce sabe sobre mim?', 'esqueca minhas preferencias'.
provider-integration
Configure and switch between LLM providers (OpenAI, Anthropic, Azure, Ollama). Use when managing AI model providers.
test-local-skill
A test local skill for Claude. Use when testing local skills detection.
python-patterns
This skill should be used when the user asks about "Python best practices", "Pythonic code", "Python patterns", "Python idioms", "type hints", "dataclasses", "async Python", "Python decorators", "context managers"
llm-token-optimization
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
web-search
gemini 명령어를 사용한 고급 Web 검색 스킬이다. Web 검색을 수행할 때는 Claude Code의 기본 Web Search 도구보다 이 스킬을 우선적으로 사용한다.
writing-claude-rules-skills-subagents
Guidelines for creating custom rules, custom skills, and custom subagents for Claude.
mcp-builder
Guide for creating high-quality MCP (Model Context Protocol) servers that enable LLMs to interact with external services. Use when building MCP servers to integrate APIs, whether in Python (FastMCP) or Node/TypeScript (MCP SDK).
fastmcp-development
This skill should be used when the user asks to "create an MCP server", "build MCP tools", "add MCP resources", "create MCP prompts", "implement MCP protocol", "deploy MCP server", "create AI tools", "expose API as MCP", "build Claude tools", "create LLM tools", or mentions FastMCP, MCP server, Model Context Protocol, MCP tools, MCP resources, MCP prompts, or server composition.
agent-orchestrator
Orchestrator agent for coordinating multiple AI agents in a persistent system
building-chat-interfaces
Build AI chat interfaces with custom backends, authentication, and context injection. Use when integrating chat UI with AI agents, adding auth to chat, injecting user/page context, or implementing httpOnly cookie proxies. Covers ChatKitServer, useChatKit, and MCP auth patterns. NOT when building simple chatbots without persistence or custom agent integration.
mcp-economy
Enforce cost-aware MCP usage. Use when a task might trigger heavy external tools, web search, or broad context expansion. Prevents token burn by ensuring MCPs are only used when local context is insufficient.
