Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.
Scanned 9/7/2026
Install to Claude Code
npx -y skills add Demerzels-lab/elsamultiskillagent --skill engram --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: engram
description: Provides semantic search for a local knowledge base using Pinecone and Gemini embeddings.
---
# 🧠 Engram - Semantic Search Skill
This skill enables an AI agent to perform semantic searches on a local folder of Markdown files (e.g., an Obsidian vault). It finds information based on the meaning and context of a query, not just exact keywords.
## Tools
### engram_search
Searches the indexed knowledge base.
- **`query`** (string, required): The natural language question to ask.
- **`top_k`** (number, optional): The number of results to return.
- **`min_score`** (number, optional): The minimum relevance score (0.0 to 1.0) for results.
### engram_index
Builds or updates the search index from the local Markdown files. This tool should be run periodically to keep the search memory synchronized.
## Author
- **Andrie Wijaya** ([@Anwitch](https://github.com/Anwitch))
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.