20,421 skills sorted by stars.
This skill should be used when the user asks to "搜索文献", "查找学术资料", "搜索最新研究", "literature search", "find papers", "search academic l...
Complete literature retrieval capability combining search and filter skills. LOAD THIS SKILL WHEN: User needs "文獻檢索", "找文獻", "retr...
Search and retrieve academic literature from multiple databases. LOAD THIS SKILL WHEN: User says "搜尋文獻", "search literature", "fin...
This skill guides configuring Litestream for continuous SQLite backup in Rails 8+ apps. Use when setting up production backups for...
Little Schemer Skill
Run a senior-level Java/Spring backend live-coding interview practice, guiding the user with Socratic prompts, strict code review...
Comprehensive guide for building functional tools for LiveKit voice agents using the @function_tool decorator. Use when creating t...
Build and review production-grade web and mobile frontends using LiveKit with Next.js. Covers real-time video/audio/data communica...
LiveKit omni-modal continuous coaching with stick-breaking color selection,
Guide for creating effective prompts and instructions for LiveKit voice agents. Use when building conversational AI agents with th...
Build self-hosted speech-to-text APIs using Hugging Face models (Whisper, Wav2Vec2) and create LiveKit voice agent plugins. Use wh...
Guide for building production-ready LiveKit voice AI agents with multi-agent workflows and intelligent handoffs. Use when creating...
Phoenix LiveView UI and real-time feature patterns
Principles for writing simple, maintainable Laravel/Livewire code. Use when writing Livewire components, tests, or Blade views. Fo...
This skill should be used when the user asks about "snapshot.md", "constraints.md", "decisions.md", "debt.md", ".ctx/", "living co...
Usage: /sw:living-docs [options]
Complete llama.cpp C/C++ API reference covering model loading, inference, text generation, embeddings, chat, tokenization, samplin...
Meta's 7-8B specialized moderation model for LLM input/output filtering. 6 safety categories - violence/hate, sexual content, weap...
LlamaIndex implementation patterns with templates, scripts, and examples for building RAG applications. Use when implementing Llam...
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token mana...
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monito...
This skill should be used when users want to build LLM-powered applications using LangChain. It provides patterns for initializing...
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system design, f...
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and verbose L...
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hiera...
External LLM invocation. Triggered ONLY by @council,@probe,@crossref,@gpt,@gemini,@grok,@qwen.
Instrument LLM API calls with proper spans, tokens, and latency
Guidelines for working with LLM context stored in the .llm/ directory.
Reduce LLM API costs without sacrificing quality. Covers prompt caching (Anthropic), local response caching, prompt compression, d...
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instructions, or a...
LLM生成システムの検証設計スキル。assay-kitフレームワークを活用し、LLM特有の失敗モード（幻覚、例への過学習、部分的処理）を考慮した総合的なテストケース設計を支援する。使用タイミング:- LLMベースのワークフロー/エージェントの評価設計時- ゴー...
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use...
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRouter, Lite...
LLM content governance and compliance standards. Use when llm governance guidance is required.
Comprehensive guide for LLM safety and guardrails implementation.
Use when wanting to interact with any LLM - Explains available inference endpoints so the agent selects suitable models.
Guidance for optimizing LLM inference request batching and scheduling problems. This skill applies when designing batch schedulers...
Use when integrating LLM APIs into applications. Covers API patterns, prompt templates, streaming, error handling, cost optimizati...
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods. Use for comprehens...
Test llm-mux IR translator - cross-format API translation
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
AI-first application patterns, LLM testing, prompt management
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a sp...
U-llm-sdk and claude-only-sdk patterns. Use when working on projects with LLM service, designing LLM integrations, or implementing...
LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies, and stre...
LLM Tuning Patterns