Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.
Help users create high-quality skills by discovering and incorporating proven methodologies from domain experts. Use this skill BEFORE skill-creator when users want to create a new skill - it enhances skill-cre...
This skill should be used when the user asks to "create AGENTS.md", "update AGENTS.md", "maintain agent docs", "set up CLAUDE.md", or needs to keep agent instructions concise. Guides discovery of local skills a...
Triggers: documentation, generate docs, write docs, technical writing Generate or remediate documentation with human-quality writing and style adherence. Triggers: generate documentation, write readme, create...
Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
Claude Mind - Search and manage Claude's persistent memory stored in a single portable .mv2 file
Expert debugging guide for AI Counsel's convergence detection system. Use when deliberations aren't converging as expected, early stopping fails, semantic similarity seems wrong, or voting vs semantic status co...
Query and analyze the AI Counsel decision graph to find past deliberations, identify patterns, and debug memory issues
Guide for creating new CLI or HTTP adapters to integrate AI models into the AI Counsel deliberation system
Use the Gemini CLI to consult Gemini and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Use the Claude Code CLI to consult Claude and delegate coding tasks for prototyping, debugging, and code review. Supports multi-turn sessions via SESSION_ID. Optimized for low-token, file/line-based handoff.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or to...
文本转语音工具 - 支持脚本解析、情绪标记和后处理，基于 Edge TTS
Use llamactl to initialize, locally preview, deploy and manage LlamaIndex workflows as LlamaAgents. Required llama-index-workflows and llamactl to be installed in the environment.
Invoke this skill BEFORE implementing any structured data extraction from documents to learn the correct llama_cloud_services API usage. Required reading before writing extraction code. Requires llama_cloud_ser...
Invoke this skill BEFORE implementing any text extraction/parsing logic to learn how to use LlamaParse to process any document accurately. Requires llama_cloud_services package and LLAMA_CLOUD_API_KEY as an env...
Invoke this skill BEFORE implementing any text/document classification task to learn the correct llama_cloud_services API usage. Required reading before writing classification code." Requires the llama_cloud_se...
Leverage Retrieval Augmented Generation to retrieve relevant information from a a LlamaCloud Index. Requires the llama_cloud_services package and LLAMA_CLOUD_API_KEY as an environment variable.
Manage the Open Agent library (skills, agents, commands, tools, rules, MCPs) via Library API tools. Trigger terms: library, skill, agent, command, tool, rule, MCP, save skill, create skill.
Discover, retrieve, and learn about available Agent Skills. key capability for finding tools to solve specific problems.
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Agent's capabilities with specialized knowledge, workflows, or too...
Production-ready FastAPI project templates and patterns. Use when starting new FastAPI projects, services, or adding standard components like auth, DB connection, or middleware.
Analyzes task essence and selects appropriate skills. Returns scale estimates and metadata. Use when starting tasks or selecting skills.
Coordinates subagent task distribution and collaboration. Controls scale determination and autonomous execution mode.
Guide smart memory compaction with focus instructions. Use when memory is full, tokens are high, context needs optimization, or you need to archive learnings. Keywords: compact, memory full, tokens high, archiv...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.