exa-grounding
CommunityGround AI agents in deep knowledge.
Software Engineering#prompt engineering#vector database#supabase#ai agent#knowledge grounding#exa search
Authormapachekurt
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables the creation of AI agents that are deeply knowledgeable and grounded in specific domains, ensuring they operate with expert-level understanding before performing tasks.
Core Features & Use Cases
- Deep Research: Leverages Exa's neural search to find authoritative content.
- Knowledge Synthesis: Guides the user/agent in distilling raw research into a clean "Knowledge Core."
- Vector Memory Integration: Optionally pushes synthesized knowledge to Supabase
pgvectorfor persistent, searchable memory. - Use Case: Bootstrapping a new AI agent for medical research by first grounding it in peer-reviewed journals and clinical trial data.
Quick Start
Use the exa-grounding skill to research the topic of quantum computing and save the findings to a knowledge core file.
Dependency Matrix
Required Modules
exa-pyvecspython-dotenvopenai
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: exa-grounding Download link: https://github.com/mapachekurt/mapache-skills/archive/main.zip#exa-grounding Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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