Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic attention head.
Using LLMs as automated evaluators for comparing chatbot responses with Chatbot Arena methodology
本地 LLM Benchmark 工具。當使用者想測試、比較或選擇本地 Ollama 模型時觸發。流程：檢查 Ollama 安裝 → 依 VRAM 推薦模型大小 → 下載模型 → 跑 benchmark → 與現有模型比較 → 輸出 markdown 報告。
External LLM invocation. Triggered ONLY by @council,@probe,@crossref,@gpt,@gemini,@grok,@qwen.
Process textual and multimedia files with various LLM providers using the llm CLI. Supports both non-interactive and interactive modes with model selection, config persistence,…
Centralized AI-readable documentation repository with 245+ frameworks and tools. Use to find documentation, add new sources, or update existing docs.
Write effective LLM prompts, commands, and agent instructions. Goal-oriented over step-prescriptive. Role + Objective + Latitude pattern.
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
USE FOR RAG/LLM grounding. Returns pre-extracted web content (text, tables, code) optimized for LLMs. GET + POST. Adjust max_tokens/count based on complexity.
Audyt i optymalizacja treści pod AI/LLM (Answer Engine Optimization, GEO). Użyj gdy użytkownik pyta "czy strona jest widoczna w AI", "LLM-friendly", "optymalizacja pod AI", "czy…
Weekly LLM spend + unit-economics report — cost by stage (Haiku classifier vs Sonnet reply), by product (Solo 1:1 vs Family group), and per household, plotted against the price.
Orchestrate a configurable, multi-member CLI planning council (Codex, Claude Code, Gemini, OpenCode, or custom) to produce independent implementation plans, anonymize and…
Orchestrate multiple LLMs as a council, generating collective intelligence through peer review and chairman synthesis
Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven…
Extract structured data from construction documents using LLMs. Process RFIs, submittals, contracts, specifications. Convert unstructured PDFs to structured JSON/Excel.
트리거: "LLM 평가", "eval 만들어줘", "모델 테스트", "프롬프트 평가", "LLM 품질 테스트" 수행: 태스크 분석 → 평가 기준 정의 → 테스트 케이스 생성 → 평가 코드 작성 → 리포트 형식 설계 출력: 평가 케이스 JSON + 평가 실행 코드 + 채점 기준 문서
Use when adapting large language models to specific tasks, domains, or behaviors - covers LoRA, QLoRA, PEFT, instruction tuning, and full fine-tuning strategiesUse when ", "…
LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization
Recommend the right LLM agent framework for a given use case. Covers framework comparison (LangChain, LangGraph, CrewAI, AutoGen, Agno, Dify, n8n, Semantic Kernel, Haystack,…
Implementing function calling (tool use) with LLMs for structured outputs and external integrations.
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude,…
Use when wanting to interact with any LLM - Explains available inference endpoints so the agent selects suitable models.
Use when discovering, downloading, quantizing, serving, benchmarking, or operating LLMs locally or on GPU infrastructure with Hugging Face, llama.cpp, vLLM, W&B, or lm-eval.
Use this when: run a model locally, which model fits my GPU, my inference is too slow, serve LLM in production, how to quantize a model, too many concurrent users, self-host an…
LLM.int8() and bitsandbytes 4-bit quantization (NF4/FP4) for memory-efficient LLM loading. Mixed-precision decomposition, QLoRA fine-tuning, double quantization, and GPU OOM…
Guide for using LLM utilities in speedy_utils, including memoized OpenAI clients and chat format transformations.
Intégration de LLMs dans des applications via API. Se déclenche avec "API OpenAI", "Claude API", "intégrer un LLM", "GPT dans mon app", "Ollama", "LLM local", "streaming" — from…
Advanced LLM jailbreaking techniques, safety mechanism bypass strategies, and constraint circumvention methods
Use when comparing two or more code implementations against a spec or requirements doc. Triggers on \"which repo is better\", \"compare these implementations\", \"evaluate both…
Comprehensive guide to using LLMs as judges for automated evaluation including prompt patterns, calibration, bias reduction, and multi-judge ensembles
分析 llm-gateway 代理产生的请求/响应日志。当用户说"分析日志"、"查看 LLM 请求"、"对比 session"、"检查 token 用量"、"日志里有什么"、"帮我看看 data 目录"、"哪个请求失败了"、"找一下 session 的请求"等涉及 LLM 网关日志分析的场景时使用此 skill。即使用户只是笼统地说"看看日志"或"data…
Dynamic LLM model management. Switch between model tiers (flagship, worker, efficiency, reasoning, coding) at runtime to optimize for intelligence, speed, or cost.
Building AI-powered NPCs that maintain personality, remember conversations, and never break characterUse when "npc dialogue, ai npc, llm npc, character dialogue, npc personality,…
Classify whether user intent was satisfied in a Datadog LLM Obs trace or session. Three modes: (1) session_id — classify a single CMD+I assistant session with RUM; (2) trace_id —…
LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.
Optimize websites for AI assistant recommendations. ChatGPT, Gemini, Perplexity, Claude. Get cited in AI answers.
Use when creating content that must be discoverable by AI search engines (ChatGPT, Perplexity, Gemini).
ドキュメント・プロンプト・スキル定義が、Claude 以外のLLM（GPT-4o / Gemini / Codex 等）でも意図通りに動作するかを評価する。Claude 固有の解釈・暗黙前提・スタイル依存を検出し、移植耐性を高める改善案を提示する。他LLMへ移植する前に使う。
Write social media posts for X (Twitter) and LinkedIn that avoid AI tells, pass platform algorithms, and drive engagement.
Use when improving prompts for any LLM. Applies proven prompt engineering techniques to boost output quality, reduce hallucinations, and cut token usage.
Comprehensive LLM model evaluation and ranking system. Use when users ask to compare language models, find the best model for a specific task, understand model capabilities, get…
Restructure Web-UI / human-triggered tasks into CLI + file-output loops the LLM can iterate alone. Open LLM-side observability — structured logs, file dumps, addressable…
通过 LaTeX 生成面向客户交付的「企业大模型技术方案」类 PDF（学术/公文风格排版），包含能力与客户系统映射、集成架构示意、分场景收益与 KPI、部署/安全/运维与版本控制表。适用于投标/POC 技术附件、客户技术建议书、需版式统一且可追溯的交付文档场景。
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
Summarize and navigate this repo with the llm-tldr CLI (tree/structure/context/semantic search). Use when you need LLM-ready summaries of files or symbols, fast codebase…
See the main LLM Cost Optimization skill for comprehensive coverage of token economics and optimization strategies.
Design UI for LLM-powered features — streaming response display, hallucination states, RAG source attribution, generative UI patterns, and AI trust calibration.
verificação independente e adversarial de uma task DEPOIS que o DoD está todo verde, antes de declarar "feito"; ativa ao fechar qualquer task técnica, ao responder "deu ok?" /…
Karpathy's LLM Wiki — build and maintain a persistent, interlinked markdown knowledge base. Ingest sources, query compiled knowledge, and lint for consistency.
自動化 LLM Wiki 知識編譯技能。當啟動時，它會掃描指定目錄下的新檔案，並依照 Karpathy 的 LLM Wiki 邏輯（Ingest -> Summarize -> Compile -> Log）將其整合進 Obsidian 知識庫。
Operate and maintain the LLM Wiki knowledge system in the Megingjord source workspace.
Operate an LLM Wiki knowledge system in any workspace using the Karpathy pattern
Use when producing written artifacts for humans — catches default LLM writing patterns.
LLM4S Scala functional LLM interfaces with Effect system integration. Use when building LLM applications in Scala with ZIO or Cats Effect, implementing type-safe AI pipelines with…
Route any prompt to the best-performing LLM using peer-reviewed council rankings from LLM Council
Default operating skill for llmdoc-enabled projects. Use when a project has llmdoc/, when initializing llmdoc, when updating project knowledge, or when Codex CLI hooks should…
Codex-native entry skill for bootstrapping llmdoc. Use this when you want the /llmdoc:init workflow in Codex.
Interactive meal planning wizard. Use when user wants to create a meal plan, optimize their diet, set up nutritional constraints, or find foods that meet their goals.
LLMs, prompt engineering, RAG systems, LangChain, and AI application development
Run link checking for URLs in llms.txt and help the user fix broken or redirected links.