llm-ai
2
claude-restart-resume
Quick restart to reload configuration changes (skills, settings, hooks, MCP services). Use PROACTIVELY after modifying .claude/ files. Preserves conversation history.
ManuelKugelmann
data-ai
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llm-ai
2
langchain-development
LangChain JS/TS framework for building LLM-powered applications - models, chains, tools, and RAG patterns.
laurigates
data-ai
llm-ai
2
agent-tuning
Optimize ElevenLabs conversational AI agents for real estate applications. Use when creating new agents, improving conversation quality, selecting voices, engineering system prompts, configuring agent parameters, or analyzing agent performance metrics. Includes voice selection, model tuning, prompt engineering, and A/B testing strategies.
onesmartguy
data-ai
llm-ai
2
graphiti-learning-workflows
Learn from historical data and build institutional knowledge with Graphiti Memory. Integrates episode storage and retrieval into learning patterns across sessions. Use when user mentions learning workflows, building knowledge over time, analyzing past work patterns, or improving from historical data.
laurigates
data-ai
llm-ai
2
debate-workflow
Multi-agent debate with 3-phase workflow. Optional --deep mode for feedback loop.
hongbietcode
data-ai
llm-ai
2
openai-agents
Workflow patterns and gotchas for OpenAI Agents SDK. Directs to RAG for implementation.
MattMagg
data-ai
llm-ai
2
guid-agent-creation
Use when creating specialized sub-agents with domain expertise, proper YAML formatting, and clear scope boundaries. Follows Guild system's dynamic specialist creation patterns.
xilnick
data-ai
llm-ai
2
security-reviewer
Use when explicitly asked to run the security-reviewer subagent or when another skill requires the security-reviewer agent card.
troykelly
data-ai
llm-ai
2
robotics-subject-expert
Domain knowledge for Physical AI, ROS 2, and Humanoid Robotics.
AbdulSamad94
data-ai
llm-ai
2
llm-context
Guidelines for working with LLM context stored in the .llm/ directory.
motlin
data-ai
llm-ai
2
superclaude-prompt-generator
Expert SuperClaude prompt engineering assistant that analyzes user needs and crafts optimal prompts using the full SuperClaude framework - commands, flags, personas, MCP servers, wave orchestration, parallel execution patterns, continuous execution directives, and the new PM Agent orchestration system with PDCA cycles and Serena memory integration.
arlenagreer
data-ai
llm-ai
2
llm-apps-creator
This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing any LLM provider (OpenAI, Anthropic, Google, xAI), building agent loops with tools, and implementing structured output. Use this skill when users ask to create chatbots, AI agents, or applications that need LLM integration with tool calling or structured responses.
hongbietcode
data-ai
llm-ai
2
mcp-builder
LLM이 잘 설계된 도구를 통해 외부 서비스와 상호작용할 수 있게 하는 고품질 MCP(Model Context Protocol) 서버 생성 가이드. Python(FastMCP)이나 Node/TypeScript(MCP SDK)로 외부 API나 서비스를 통합하는 MCP 서버를 구축할 때 사용한다.
jo-minjun
data-ai
llm-ai
2
ai-llm-development
MANDATORY invocation for ALL LLM-related work. Invoke immediately when: - ANY mention of model names, IDs, or versions - ANY configuration of AI providers or APIs - ANY defaults/constants for LLM settings - ANY prompt engineering or modification - ANY discussion of model capabilities or features - ANY changes to AI-related dependencies - Reading/writing .env files with AI config - Modifying aiProviders.ts, prompts.ts, or similar - Reviewing AI-related pull requests - Debugging LLM integration issues CRITICAL: Training data lags reality by months. ALWAYS research first. Use WebSearch, Exa MCP, or Gemini CLI before making ANY LLM decisions.
phrazzld
data-ai
llm-ai
2
llm-caching-patterns
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost tracking with hierarchical trace rollup for 70-95% cost reduction
yonatangross
data-ai
llm-ai
2
llm-prompt-optimizer
Optimize prompts for better LLM outputs through systematic analysis and refinement
eddiebe147
data-ai
llm-ai
2
chain-builder
Build and execute multi-step prompt chains for complex tasks
eddiebe147
data-ai
llm-ai
2
prompt-engineer
Create production-ready prompts using systematic methodology. Use when: (1) Building new prompts for Claude, (2) Improving existing prompts, (3) Creating prompt templates, (4) Designing system prompts for agents.
walcon
data-ai
llm-ai
2
developer-growth-analysis
Analyzes your recent Claude Code chat history to identify coding patterns,
plurigrid
data-ai
llm-ai
2
deep-agents
Deep Agents library for building complex, multi-step AI agents with planning, context management, and subagent delegation.
laurigates
data-ai