Connect docs, search analytics, and CI evaluation to improve documentation quality.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "knowflow" yet — see the docs or source repo.
Using the current product docs, GA4 site search data, and RAGAS-style evaluation results, identify topics users search for frequently but are poorly covered in the documentation, then rank them by impact and suggest improvements.
A ranked list of content gaps with priority levels and documentation improvement suggestions for each.
Evaluate the latest documentation update by combining Jenkins CI pipeline results, retrieval QA performance, and evaluation scores to determine whether discoverability, accuracy, and answer quality improved.
A before-and-after comparison, key metric changes, and a conclusion on whether further revisions are needed.
Based on documentation content, user search behavior, and automated evaluation results, create a documentation improvement plan for the next release, including new sections, pages to rewrite, acceptance metrics, and execution priority.
A structured improvement roadmap that content and product teams can execute together.
Unified knowledge retrieval for structured local and external information access.
Turn docs, GitHub repos, and PDFs into Claude skills with conflict checks.
Connect a local GraphRAG knowledge base for private offline document retrieval.
Access Help Scout knowledge base collections, articles, and search content quickly.
Search past Claude Code chats to recover facts, decisions, and context.
Search local Markdown notes offline with hybrid semantic and keyword retrieval.