Knowledge

Manage and grow a typed, cross-linked knowledge archive with searchable notes.

Updated Aug 27, 2026

Search Tags:#knowledge graph #wikilinks #bm25 retrieval #knowledge archive #typed linking #contradiction scan

Ready to run

npx skills add https://github.com/julianobarbosa/.claude --skill knowledge-julianobarbosa

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

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.

Core Features & Use Cases

Search across lexical text, frontmatter, and wikilinks to quickly answer knowledge questions like what you know about a topic or person.
Add and ingest new notes with mandatory typed cross-links so new information is connected to existing People, Companies, Ideas, and Research.
Mine, develop, and reconcile knowledge by harvesting from sources, promoting seedlings through enrichment, and scanning for contradictions via the knowledge graph.

Quick Start

Run: /knowledge retrieve "How do we handle contradictions in the archive?"

Frequently Asked Questions about Knowledge

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

FAQPage Schema

How do I search my knowledge graph for specific notes and wikilinks?▼

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.

How do I ingest new sources into a knowledge archive with typed linking?▼

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.

Can I detect contradictions in my knowledge base automatically?▼

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.

What's the best way to enrich seedling entries in a knowledge archive?▼

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.

Does managing a knowledge graph require a specific archive schema?▼

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.