knowledge-base-optimizer

by craviart · data-analytics · python, go, rails, performance, skill

Audit, organize, maintain, and optimize local knowledge bases, context folders, agent memory folders, project brains, research libraries, or source-of-truth file trees with zero knowledge loss. Use when asked to create a knowledge base from scratch, clean a messy source of truth, maintain Markdown knowledge files, add or route new source files, refresh indexes, reduce drift, restructure knowledge, streamline context engineering, reduce token consumption, improve agent startup speed, create no...

Source: https://github.com/craviart/knowledge-base-optimizer

Install

git clone https://github.com/craviart/knowledge-base-optimizer

Tags: python, go, rails, performance, skill

Source: skillsdirectory

About data-analytics MCP servers and Claude skills

data-analytics MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.

knowledge-base-optimizer is one of hundreds of data-analytics entries indexed on Skiln. Browse the full data-analytics category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.

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Frequently asked questions

How do I install knowledge-base-optimizer?

Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.

Which clients support knowledge-base-optimizer?

Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.

Is knowledge-base-optimizer free?

The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.