Go web crawler to scrape documentation sites and convert content to clean Markdown for LLM ingestion (RAG, training data).

Convert documentation websites, GitHub repositories, and PDFs into Claude AI skills with automatic conflict detection

The Universal AI-Optimized Project Boilerplate. A Tiered Memory System (TMS) designed to maximize AI agent performance. Includes an interactive CLI tool and a high-signal documentation standard.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

A standalone BMAD module that transforms code repositories, documentation websites, and developer discourse into agentskills.io-compliant, version-pinned, provenance-backed agent skills.

PDF extraction that audits its own output — and certifies any other extractor's, catching pages they silently dropped. Verify signed manifests offline: free, MIT, no account. 0.903 on opendataloader-bench, #2 of 8 engines. 7-tool MCP server.

Team memory for engineers and their AI agents. Lives in your repo. Shared through Git.

Product-Led Growth (PLG) analysis toolkit that detects tech stacks, plans growth loops and builds the loop iteratively.

Codebase intelligence for AI and humans: code health scores, auto-generated docs, git analytics, dead code detection, and architectural decisions via MCP.

Deterministic, local-first memory and guardrails for AI coding agents with no LLM in the hot path.