Search Results: llm-tool

Found 47 Skills

Documentation & Writingtestacode/llm-toolkit

doc-writer

Crea documentos técnicos organizados en /docs (specs, planes, ADRs, referencias). Usa cuando el usuario diga "crear documento", "escribir spec", "documentar esto", "creame una spec", "escribime documentación", "hacer documentación", o quiera agregar documentación al proyecto.

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Document Processingtestacode/llm-toolkit

doc-organizer

Organiza y categoriza documentos en docs/. Usa cuando el usuario diga "organizar docs", "ordenar documentación", "mover documentos a carpetas", "categorizar archivos", o tenga archivos .md sueltos en docs/.

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AI & Machine Learningtestacode/llm-toolkit

llms-txt-generator

Genera documentación llms.txt optimizada para LLMs. Usa cuando el usuario diga "crear llms.txt", "documentar para AI", "crear documentación para LLMs", "generar docs para modelos", o quiera hacer el repo legible para Claude/AI.

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Frontend Developmenttestacode/llm-toolkit

nextjs-project-starter

Crea proyectos Next.js con stack configurable (Mantine, Supabase, Zustand). Usa cuando el usuario diga "crear proyecto Next.js", "nuevo proyecto web", "empezar app fullstack", "bootstrap Next.js", o quiera iniciar un proyecto personal.

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Code Qualitytestacode/llm-toolkit

coding-guidelines

Principios para escribir codigo de calidad. Usa cuando el usuario diga "buenas practicas", "best practices", "coding guidelines", "code quality", "clean code", "principios de codigo", "refactorizar con principios", "refactor with principles", o quiera seguir patrones de calidad.

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Version Controltestacode/llm-toolkit

worktree-manager

Gestiona git worktrees en .worktrees/. Usa cuando el usuario diga "crear worktree", "nuevo branch en paralelo", "trabajar en otra feature", "limpiar worktrees", "listar worktrees", o quiera desarrollo paralelo sin cambiar de branch.

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Tools & Utilitiestestacode/llm-toolkit

setup-project

Configura proyectos con scripts de check y detecta CLIs. Usa cuando el usuario diga "configurar proyecto", "setup", "inicializar proyecto", "agregar npm run check", "qué CLIs tengo", o empiece a trabajar en un proyecto nuevo.

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Tools & Utilitiesjuliusbrussee/caveman

caveman-compress

Compress natural language memory files (CLAUDE.md, todos, preferences) into caveman format to save input tokens. Preserves all technical substance, code, URLs, and structure. Compressed version overwrites the original file. Human-readable backup saved as FILE.original.md. Trigger: /caveman-compress <filepath> or "compress memory file"

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401.8k

7 scripts/Attention

AI & Machine Learninghummat/paperpipe

papi-ask

Query papers using RAG (PaperQA2 or LEANN). Use when user needs synthesized answers from papers, asks "what does paper X say about Y", or needs cited responses.

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138

Security & Compliancearadotso/trending-skills

cairn-ai-pentest

AI-automated penetration testing and general problem-solving system that achieved unique AK (All Killed) in Tencent Cloud Hackathon intelligent penetration challenge

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AI & Machine Learningglebis/claude-skills

session-finder

Index and search Claude Code sessions using semantic embeddings (Gemini). Find past sessions by topic, relaunch the best match. Triggers on "find session", "which session did I", "relaunch the session where", "session about X".

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1 scripts/Checked

AI & Machine Learningmcp-use/mcp-use

openapi-to-mcp

Build and deploy an MCP server from an OpenAPI / Swagger spec using the mcp-use TypeScript SDK. Use this skill whenever the user wants to "turn this OpenAPI spec into an MCP server", "make this API usable from Claude/ChatGPT", "wrap this Swagger doc as MCP tools", "expose this REST API to an LLM", "generate MCP tools from a spec", or pastes/attaches an `openapi.yaml`, `openapi.json`, or `swagger.json` and asks for a Claude-compatible version. Trigger even if the user doesn't say "MCP" — if they describe an existing HTTP API (REST endpoints, an internal service, a third-party API they have a key for) and want an LLM to call it, this is the right skill. Covers spec ingestion (file path, URL, or pasted), operation-to-tool mapping, auth wiring (apiKey, bearer, basic, OAuth bearer), scaffolding with `create-mcp-use-app`, tool generation with proper zod schemas, live testing in the mcp-use inspector, and deploying to Manufact / mcp-use cloud.

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