83,201 skills sorted by stars.
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmar...
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLM...
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and indu...
Secure LLM-powered applications with input validation, output controls, tenant isolation, and abuse prevention.
Building applications with Large Language Models - prompt engineering,
Building applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-pow...
You are an AI assistant development expert specializing in creating intelligent conversational interfaces, chatbots, and...
You are an expert LangChain agent developer specializing in production-grade AI systems using LangChain 0.1+ and LangGra...
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques includ...
This skill should be used when building production LLM applications in any language. It applies when implementing predic...
Use when building LLM applications: prompt engineering, structured output, agents, RAG integration, memory management, o...
This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for in...
Use when user needs LLM system architecture, model deployment, optimization strategies, and production serving infrastru...
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and...
Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic at...
Implement multi-layer LLM caching with exact match, semantic similarity, and provider-side prompt caching. Reduce API co...
LLM-based zero-shot and few-shot classification for flexible intent detection
Centralized AI-readable documentation repository with 245+ frameworks and tools. Use to find documentation, add new sour...
Write effective LLM prompts, commands, and agent instructions. Goal-oriented over step-prescriptive. Role + Objective +...
Reduce LLM API and infrastructure costs through model selection, prompt caching, batching, caching, quantization, and se...
Strategies for managing and reducing costs in LLM-powered applications, from token economics to RAG architectures.
Use when you need to reduce LLM API spend, control token usage, route between models by cost/quality, implement prompt c...
Multi-LLM collaborative brainstorming and planning. Use when user explicitly requests consultation with multiple AI mode...
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produ...
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
Automate construction data processing using LLM (ChatGPT, Claude, LLaMA). Generate Python/Pandas scripts, extract data f...
Diagnoses LLM output failures including hallucinations, constraint violations, format errors, and reasoning issues. Prov...
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instruct...
Fetch LLM-optimized documentation from llms.txt endpoints for up-to-date API references
Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through...
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Con...
Patterns for building LLM applications - prompt engineering, RAG pipelines, cost optimization, multi-model routing, and...