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aeonbridge AI Skills

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Browse published AI skills maintained by aeonbridge. Compare skill descriptions and follow each source repository for setup instructions.

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Indexed skills

9

Repository stars across indexed skills

0

Repository forks

0

Average repository stars per indexed skill

0

Repository stars may repeat across skills from the same repository.

9 skills

Browse skills

GitHub

agno

aeonbridge

Comprehensive skill for building, deploying, and managing multi-agent AI systems with Agno framework

GitHub

ticketmaster-api

aeonbridge

Integrate with Ticketmaster Discovery API to search events, attractions, venues, and classifications. Use when building event discovery apps, ticket platforms, venue finders, or entertainment search features. A...

GitHub

mcp

aeonbridge

Comprehensive skill for Model Context Protocol (MCP) - building servers and clients for LLM context integration

GitHub

dify-llm-platform

aeonbridge

Build LLM applications using Dify's visual workflow platform. Use when creating AI chatbots, implementing RAG pipelines, developing agents with tools, managing knowledge bases, deploying LLM apps, or building w...

GitHub

yt-dlp

aeonbridge

Comprehensive skill for yt-dlp - feature-rich command-line audio/video downloader supporting thousands of sites

GitHub

evolution-api

aeonbridge

Comprehensive skill for Evolution API - open-source WhatsApp integration platform with multi-service chatbot and automation support

GitHub

langextract

aeonbridge

Extract structured information from unstructured text using LLMs with source grounding. Use when extracting entities from documents, medical notes, clinical reports, or any text requiring precise, traceable ext...

GitHub

graphiti

aeonbridge

Comprehensive skill for Graphiti and Zep - temporal knowledge graph framework for AI agents with dynamic context engineering

GitHub

graphrag

aeonbridge

Comprehensive skill for Microsoft GraphRAG - modular graph-based RAG system for reasoning over private datasets

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.