A multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
function-agent-rag is a Claude Code agent skill that a multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
npx skills add jilanikashif375/function-agent-ragInstalled? Explore more 写作与编辑 skills: steipete/notion, langchain-ai/langchain, bytedance/podcast-generation · View all 6 →
A multi-agent PDF question-answering system using LlamaIndex with function-calling agents. Features dual-retriever (BM25 + Vector) search, property graph indexing, and a Researcher → Writer agent workflow for accurate, grounded document answers.
Source: https://github.com/jilanikashif375/function-agent-rag
Discovered from GitHub repositories pushed in the last 24 hours for agent skills, Claude/Codex/Gemini workflows, MCP tooling, and adjacent AI-agent automation.
Notion CLI/API for pages, Markdown content, data sources, files, comments, search, Workers, and raw API calls.
The agent engineering platform.
Use this skill when the user requests to generate, create, or produce podcasts from text content. Converts written content into a two-host conversational podcast audio format with natural dialogue.
Analyze and optimize tweets for maximum reach using Twitter's open-source algorithm insights. Rewrite and edit user tweets to improve engagement and visibility based on how the recommendation system ranks content.
Extracts and analyzes competitors' ads from ad libraries (Facebook, LinkedIn, etc.) to understand what messaging, problems, and creative approaches are working. Helps inspire and improve your own ad campaigns.
Context7 Platform -- Up-to-date code documentation for LLMs and AI code editors