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kb-extractor

Generate structured markdown knowledge bases from codebases using Python scripts.

Updated Mar 28, 2026
Search Tags:#codebase analysis#knowledge base generation#database querying#AI support#chatbot documentation
One-click install
npx skills add https://github.com/Versya-io/kb-extractor --skill kb-extractor
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: kb-extractor
Source: https://github.com/Versya-io/kb-extractor/tree/main/skills/kb-extractor
Command: npx skills add https://github.com/Versya-io/kb-extractor --skill kb-extractor

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires Glob, Grep, Read, Write, Bash, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the generation of a structured, LLM-optimized knowledge base from a codebase, streamlining the creation of support documentation and AI-powered chatbots.

Core Features & Use Cases

  • Codebase Scanning: Automatically scans a codebase to extract features, flows, and constraints.
  • Knowledge Base Generation: Generates markdown files with detailed product information, ready for use in chatbots and support documentation.
  • DB Gap Detection: Identifies database-dependent features that require manual confirmation or additional queries.
  • Documentation Automation: Automates the process of creating support documentation and FAQs.

Quick Start

Use the kb-extractor skill to scan your codebase and generate a knowledge base into the directory '.kb/'.

Frequently Asked Questions about kb-extractor

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate a knowledge base from my codebase for an AI chatbot?▼

To generate a knowledge base from your codebase for an AI chatbot, you can automate codebase scanning to extract features, flows, and constraints into structured markdown files. This streamlines the creation of support documentation.

What is codebase knowledge base generation and how does it work?▼

Codebase knowledge base generation is the process of analyzing source code to identify product features and constraints, producing detailed markdown files. It uses Python scripts to scan code and database queries to detect dependent features.

Does codebase knowledge base generation work with database-dependent features?▼

Yes, codebase knowledge base generation works with database-dependent features by identifying them during the scan. It flags these database gaps so you can manually confirm or run additional queries to document them accurately.

How do I automate support documentation creation from source code?▼

To automate support documentation creation from source code, you run scripts that scan the codebase and write detailed product information into markdown files. These files are generated into a '.kb/' directory for immediate chatbot integration.

What are the limitations of automated codebase scanning for documentation?▼

A key limitation of automated codebase scanning for documentation is that it cannot fully resolve database-dependent features automatically. It identifies these gaps, but manual confirmation or additional database querying is required to complete the knowledge base.

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