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Skills IA research llm ai

Découvrez les skills research llm ai, comparez leurs dépôts et consultez leurs instructions.

Catégories: research llm ai

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GitHub

moai-foundation-core

zellycloud

MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for bui...

GitHub

moai-tool-opencode

zellycloud

OpenCode.ai open-source AI coding agent comprehensive reference. Use when working with OpenCode TUI, CLI, IDE integration, configuring agents, tools, MCP servers, creating plugins, or developing with the SDK.

GitHub

test-processing-guide

zhenxiay

Comprehensive guide for AI agent when it is requested to perform following tasks: (1) Summarize text, (2) Sentiment analysis, (3) Translate test in full length.

GitHub

a2a-agent

pjordan

Comprehensive A2A (Agent-to-Agent) development toolkit for building Python agents using a2a-sdk and FastAPI. Use when creating new A2A agents, implementing agent handlers, adding streaming capabilities, testing...

GitHub

ucp-merchant-agent

pjordan

Comprehensive toolkit for building Python-based A2A agents that interact with UCP (Universal Commerce Protocol) merchant agents. Use when creating shopping agents, integrating with UCP merchants, managing check...

GitHub

azure-apim-fastapi

pjordan

Comprehensive development toolkit for building FastAPI services behind Azure API Management (APIM). Use when creating APIs with APIM gateway integration, implementing authentication/authorization patterns, conf...

GitHub

question-answering

IbIFACE-Tech

Answer questions accurately and concisely based on knowledge and context. Use when the user asks questions, requests information, or needs clarification on any topic.

GitHub

tool-integration

IbIFACE-Tech

Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.

GitHub

code-generation

IbIFACE-Tech

Generate high-quality code in various programming languages following best practices. Use when the user asks to write, create, or generate code, functions, classes, or scripts.

GitHub

agent-configuration

IbIFACE-Tech

Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.

GitHub

tool-integration

IbIFACE-Tech

Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.

GitHub

meta-generation

IbIFACE-Tech

AI-powered generation of Paracle artifacts (agents, workflows, skills, policies) from natural language descriptions. Use when you need to create new framework components programmatically.

GitHub

meta-learning

IbIFACE-Tech

Continuous learning and improvement system for paracle_meta. Use when you need to record feedback, track quality metrics, or improve generation templates over time.

GitHub

agent-configuration

IbIFACE-Tech

Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.

GitHub

agent-configuration

IbIFACE-Tech

Configure agent specs, inheritance, skills, and tools in .parac/ workspace. Use when setting up or customizing agents.

GitHub

meta-capabilities

IbIFACE-Tech

Advanced AI capabilities for paracle_meta including web search, code execution, MCP integration, and autonomous agent spawning. Use when you need enhanced AI functionality beyond basic generation.

GitHub

tool-integration

IbIFACE-Tech

Create custom tools, integrate external APIs, and manage tool registry. Use when extending agent capabilities with new tools.

GitHub

writer

onmax

Iterative writing loop. Gemini 3 Pro writes, Claude Agent SDK reviews autonomously. Use for blog posts, docs, technical content needing quality iteration.

GitHub

skill-creator

onmax

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 an agent's capabilities with specialized knowledge, workflows, or...

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.

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