Manage and grow a typed, cross-linked knowledge archive with searchable notes.
npx skills add https://github.com/julianobarbosa/.claude --skill knowledge-julianobarbosa
Please help me install this Agent Skill. Skill: Knowledge Source: https://github.com/julianobarbosa/.claude/tree/main/skills/Knowledge Command: npx skills add https://github.com/julianobarbosa/.claude --skill knowledge-julianobarbosa
It eliminates the friction of maintaining a searchable, consistently linked knowledge base so you can quickly find what you know and reliably grow it over time.
Run: /knowledge retrieve "How do we handle contradictions in the archive?"
High-intent search queries and answers about installing and using this skill.
You can search your knowledge graph by running a retrieve command that applies BM25 retrieval across lexical text, frontmatter, and wikilinks. This quickly surfaces compressed context from your existing knowledge archive to answer questions about people, companies, ideas, or research.
You ingest new sources by adding notes that conform to a required archive schema and include mandatory related typed links. This ensures every new entry is properly connected to existing People, Companies, Ideas, and Research.
Yes, you can detect contradictions by running a contradiction scan via the knowledge graph. This feature automatically mines your stored entries to identify conflicting information across your linked notes.
You enrich seedling entries by harvesting information from external sources to promote them into fully developed notes. The KnowledgeHarvester toolchain routes this process to grow your archive while maintaining typed cross-links.
Yes, managing this knowledge graph enforces a required archive schema for all notes. This mandatory structure ensures consistent typed cross-linking across People, Companies, Ideas, and Research categories for reliable retrieval.
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