Which vector databases are supported?

The skill provides implementation guidance and best practices for industry-standard vector databases including Pinecone, Weaviate, and Qdrant.

Can this skill help with RAG performance?

Yes, it provides advanced strategies for document chunking, semantic retrieval, and hybrid search optimization to improve Retrieval-Augmented Generation outcomes.

Does it support multi-agent systems?

Absolutely. It includes protocols for agent-to-agent context handoffs, state management, and workflow coordination between different AI agents.

What is AI context engineering?

AI context engineering is the practice of strategically managing the information provided to an AI model to improve accuracy, reduce token costs, and maintain coherent state over long interactions.

Antigravity Context Manager

Name: Antigravity Context Manager
Author: boisenoise

byboisenoise

0•

Data Science & ML

Orchestrates dynamic AI context, intelligent memory systems, and RAG workflows for enterprise-scale multi-agent applications.

The Antigravity Context Manager is an elite engineering tool designed to master complex context management across multi-agent workflows and long-running AI projects. It leverages advanced techniques in vector databases, knowledge graphs, and semantic retrieval to ensure AI systems have access to the right information at the right time. Whether you are building sophisticated RAG pipelines or orchestrating persistent memory for enterprise-level agents, this skill provides the architectural patterns and best practices needed to maintain coherent state and optimize token usage in high-stakes AI environments.

Key Features

01Enterprise-grade RAG implementation with semantic filtering

02Multi-agent state management and context handoff protocols

03Persistent long-term and episodic memory architectures

04Advanced Vector DB and knowledge graph orchestration

050 GitHub stars

06Dynamic context assembly and token budget optimization

Use Cases

01Optimizing RAG performance for technical documentation across millions of documents

02Building a multi-agent customer support system with persistent user history

03Implementing semantic memory for long-running autonomous research agents

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add boisenoise/skills-collections antigravity-context-manager

For use in Claude.ai and ChatGPT

Download Skill