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knowledge-wiki

knowledge-wiki

github.com/zhayujieProductivity47.7k159 installsUpdated today
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About knowledge-wiki

A skill for maintaining a persistent, structured knowledge base in a `knowledge/` directory. It organizes material from documents and conversations into linked pages, then supports queries against the accumulated notes.

Key features

  1. 01Ingest documents and resources
  2. 02Synthesize knowledge from conversations
  3. 03Organize pages by category
  4. 04Maintain index, log, and cross-references
  5. 05Query accumulated knowledge

Use cases

  1. 01Save key points from a shared article
  2. 02Record useful knowledge from a conversation
  3. 03Find information in existing knowledge pages

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/zhayujie/cowagent --skill knowledge-wiki

After installing, type/knowledge-wikiin Claude Code to confirm it loaded.

Details

From the project README

Knowledge Wiki

Maintain a persistent, structured knowledge base in the knowledge/ directory.

Core Operations

1. Ingest — User shares an article, document, or resource
  1. Read and understand the source material
  2. Extract key facts, insights, and structured knowledge
  3. Determine the appropriate subdirectory:
    • Read knowledge/index.md to see existing categories
    • If a matching category exists, follow that structure
    • If not, create a new subdirectory with a clear name
  4. Create the knowledge page: knowledge/<category>/<slug>.md
  5. Update knowledge/index.md and append to knowledge/log.md
2. Synthesize — Conversation produces valuable structured knowledge
  1. Create a knowledge page under the appropriate category
  2. Update related pages with cross-references
  3. Update knowledge/index.md and knowledge/log.md
3. Query — User asks about accumulated knowledge
  1. Check knowledge/index.md (already in your context) for relevant pages
  2. Read specific pages with the read tool
  3. Supplement with memory_search if needed

Page Format

# Page Title

> Source: <URL or description of the original material>

Content here. Cross-reference related pages with markdown links:
[Related Page](../category/related-page.md)

## Key Points

- ...

## Related

- [Page A](../category/page-a.md) — how it relates
- [Page B](../category/page-b.md) — how it relates

The > Source: line records where the knowledge came from (URL, document name, conversation, etc.). Always include it when the material originates from a specific source.

Cross-references build a knowledge graph. When creating or updating a page, link to related pages and update those pages to link back. Only link to pages that already exist — if a concept deserves its own page, create it first, then add the link.

Index Format (knowledge/index.md)

Flat list, one line per page: [Title](path) — one-line summary. Group by category (matching subdirectories). No tables, no emoji.

# Knowledge Index

## Category A
- [Page Title](category-a/page-slug.md) — one-line summary

## Category B
- [Page Title](category-b/page-slug.md) — one-line summary

Category names and structure are flexible — follow whatever organization already exists in the index, or create new categories based on the content.

Log Format (knowledge/log.md)

Append-only, newest at bottom:

## [YYYY-MM-DD] ingest | Page Title
## [YYYY-MM-DD] synthesize | Page Title

Guidelines

  • File naming: lowercase kebab-case (e.g. machine-learning.md)
  • One topic per page: link between pages rather than duplicating
  • Update, don't duplicate: if a page exists, update it
  • Cross-reference: every page should link to related pages; keep the knowledge graph connected
  • Index is mandatory: always update knowledge/index.md after any change
  • Be concise: capture essence, not copy entire sources
  • Full paths in replies: when referencing knowledge files in conversation replies, use the full path from workspace root (e.g. [Title](knowledge/<category>/<slug>.md)), not relative paths. Relative paths are only for cross-references inside knowledge pages themselves.
  • Cite sources: when answering based on knowledge pages, include links to the relevant pages so the user can explore further.

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