How does KB Learn research topics?

It uses a specialized agent pipeline including a searcher for web findings and a challenger to find counter-evidence, ensuring all notes are backed by verified claims.

Does it support cross-referencing between notes?

Yes, it uses markdown links with relative paths for cross-references and includes a validator to ensure there are no broken links within your KB.

What happens when a note becomes too large?

When a note reaches approximately 500 lines, the skill suggests using the /kb-compact command to restructure and summarize content for better performance.

Can I use it to track mistakes?

Absolutely. Use the 'fix' mode to document errors, explain the correction, and update your knowledge base to prevent the same mistake in the future.

Where are the notes stored?

Notes are stored as local markdown files in your configured knowledge base root, allowing for easy version control and portability.

Knowledge Base Learner

Name: Knowledge Base Learner
Author: farzadshbfn

byfarzadshbfn

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학습 및 문서화

Maintains a persistent, research-driven personal knowledge base directly within the Claude CLI.

KB Learn transforms Claude into a 'second brain' by managing a structured knowledge base of markdown notes. It utilizes a specialized multi-agent pipeline—including searchers, challengers, and assessors—to research new topics, summarize articles, and correct existing knowledge with high-confidence evidence. The skill automatically handles cross-referencing, folder organization, and changelog tracking, ensuring your personal documentation remains organized, validated, and easily accessible during development workflows.

주요 기능

01Confidence-tagged claim management and evaluation

02Multi-agent research pipeline (scouter, searcher, challenger, assessor)

03Integrated changelog tracking and note compaction suggestions

04Automated markdown link validation and cross-referencing

051 GitHub stars

06Structural health checks for automatic folder organization

사용 사례

01Conducting deep-dive research on new technical concepts while coding

02Maintaining a mistake log to identify and prevent recurring errors

03Extracting and storing insights from technical articles or documentation

주요 기능

01Confidence-tagged claim management and evaluation

02Multi-agent research pipeline (scouter, searcher, challenger, assessor)

03Integrated changelog tracking and note compaction suggestions

04Automated markdown link validation and cross-referencing

051 GitHub stars

06Structural health checks for automatic folder organization

사용 사례

01Conducting deep-dive research on new technical concepts while coding

02Maintaining a mistake log to identify and prevent recurring errors

03Extracting and storing insights from technical articles or documentation