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Knowledge Wiki

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zhayujie
knowledge-wiki

Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when the user asks about the knowledge base.

Overview

Publisherzhayujie
RepositoryCowAgent
Skill nameknowledge-wiki
Stars
47K
Forks
10.4K
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by zhayujie on GitHub. Read the source before you install it.

Installation

Install the Knowledge Wiki AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/zhayujie/CowAgent.git /tmp/CowAgent
mkdir -p .claude/skills
cp -r /tmp/CowAgent/skills/knowledge-wiki .claude/skills/knowledge-wiki
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Knowledge Wiki in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Knowledge Wiki on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Knowledge Wiki is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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

markdown
# 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.

markdown
# 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:

markdown
## [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.

Frequently asked questions

What does the Knowledge Wiki AI skill do?

Manage the personal knowledge wiki. Use when the user shares articles, documents, or asks to organize knowledge; when a conversation produces insights worth preserving as structured knowledge; or when the user asks about the knowledge base.

Why use Knowledge Wiki on TypingMind?

Because you install it once and use it with any model. Knowledge Wiki is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Knowledge Wiki in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zhayujie/CowAgent/tree/master/skills/knowledge-wiki. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Knowledge Wiki?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Knowledge Wiki?

As many as you like. As long as a model supports skills, you can use Knowledge Wiki with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Knowledge Wiki AI skill free?

Yes. It is published on GitHub by zhayujie under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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