Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: conversational-agents

Annuaire en anglais

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26K
Stars
87/100
Confiance
Catégorie: dataAudit

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

23K
Stars
79/100
Confiance
Catégorie: agent-frameworksAudit

ChatterBot is a machine learning, conversational dialog engine for creating chat bots

14K
Stars
86/100
Confiance
Catégorie: ml-automationAudit

A collection of prompt templates and agent configurations for AI-driven product development, from planning to MVP, with support for Claude Code and Cursor.

938
Stars
80/100
Confiance
Catégorie: coding-agentsAudit

A comprehensive collection of 30+ Claude Code skills for cold email and outbound sales, covering strategy, infrastructure, lead sourcing, and copywriting, with a guided kickoff flow and signal playbooks.

632
Stars
80/100
Confiance
Catégorie: marketing-growthAudit

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

24K
Stars
73/100
Confiance
Catégorie: data-analysisAudit

Conversational RPA SDK for Chatbot Makers. Join our Discord: https://discord.gg/7q8NBZbQzt

23K
Stars
84/100
Confiance
Catégorie: support-automationAudit

The UI design language and React library for Conversational UI

4.4K
Stars
76/100
Confiance
Catégorie: support-automationAudit

pingcap/autoflow is a Graph RAG based and conversational knowledge base tool built with TiDB Serverless Vector Storage. Demo: https://tidb.ai

2.8K
Stars
79/100
Confiance
Catégorie: rag-knowledgeAudit

Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage computer.

1.1K
Stars
74/100
Confiance
Catégorie: support-automationAudit

The 𝗣𝗼𝘄𝗲𝗿𝗳𝘂𝗹 Conversational AI JavaScript Library 💬 — UI for any LLM, supporting LangChain / HuggingFace / Vercel AI, and more 🧡 React, Next.js, and plain JavaScript ⭐️

1.4K
Stars
73/100
Confiance
Catégorie: support-automationAudit

⚡️ A framework for building conversational user interfaces.

4.3K
Stars
70/100
Confiance
Catégorie: support-automationAudit