Навыков: 36 916. Сортировка по числу звёзд.
Principles for writing simple, maintainable Laravel/Livewire code. Use when writing Livewire components, tests, or Blade...
This skill should be used when the user asks about "snapshot.md", "constraints.md", "decisions.md", "debt.md", ".ctx/",...
Usage: /sw:living-docs [options]
Navigate and load project living documentation for context from .specweave/docs/internal/. Use when implementing feature...
Typed tick loops with FlowMind validation and parallel tick dispatch. Use when running /ll, recurring pipelines, quality...
DeFi fundamentals and cross-chain analytics using DefiLlama-style data. Use when you want to find undervalued protocols,...
Use when building RAG or LLM applications with LlamaIndex - data loaders, node parsing, vector stores, retrievers and re...
Complete llama.cpp C/C++ API reference covering model loading, inference, text generation, embeddings, chat, tokenizatio...
LlamaIndex implementation patterns with templates, scripts, and examples for building RAG applications. Use when impleme...
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses,...
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLM...
Use when designing LLM-powered applications; Implementing RAG (Retrieval-Augmented Generation)
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and indu...
Expert LLM architect specializing in large language model architecture, deployment, and optimization. Masters LLM system...
Detects common LLM coding agent artifacts in codebases. Identifies test quality issues, dead code, over-abstraction, and...
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), c...
External LLM invocation. Triggered ONLY by @council,@probe,@crossref,@gpt,@gemini,@grok,@qwen.
Instrument LLM API calls with proper spans, tokens, and latency
Centralized AI-readable documentation repository with 245+ frameworks and tools. Use to find documentation, add new sour...
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 comp...
Write token-efficient documentation for LLM context. Use when creating CLAUDE.md, README, technical docs, agent instruct...
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Con...
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...
Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmar...
LLM gateway and routing configuration using OpenRouter and LiteLLM. Invoke when: - Setting up multi-model access (OpenRo...
LLM content governance and compliance standards. Use when llm governance guidance is required.
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...
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods. Use for...
Test llm-mux IR translator - cross-format API translation
LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de q...
Use when when you need specialized assistance with this domain
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best mode...
This skill should be used when users want to route LLM requests to different AI providers (OpenAI, Grok/xAI, Groq, DeepS...
U-llm-sdk and claude-only-sdk patterns. Use when working on projects with LLM service, designing LLM integrations, or im...
LLM inference infrastructure, serving frameworks (vLLM, TGI, TensorRT-LLM), quantization techniques, batching strategies...
Use when the user needs to extract structured data (JSON objects, arrays, enums) from an LLM response; The user is build...
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding a...
LLM Tuning Patterns
Interactive meal planning wizard. Use when user wants to create a meal plan, optimize their diet, set up nutritional con...
LLMアプリケーションの設計・運用・評価・最適化。プロンプト管理、RAG構築、ファインチューニング、評価パイプライン、コスト最適化、本番運用。「LLM」「プロンプト」「RAG」「ファインチューニング」「AI運用」「評価」に関する質問で使用。
Router skill for LLMQuant equities workflows. Use when the user needs stock analysis, equity comparison, research memos,...
Router skill for LLMQuant portfolio-lab workflows. Use when the user needs portfolio exposure maps, what-if simulations,...
Router skill for LLMQuant rates and FX workflows. Use when the user needs yield curve, duration, central-bank divergence...