# WikiKnowledge

> WikiKnowledge — inckie-wikiknowledge. Use this tool when you need to integrate human knowledge with AI systems, leveraging git capabilities to manage and update knowledge bases. WikiKnowledge solves problems of data inconsistency and knowledge gaps by providing a collaborative platform for knowledge engineering. It takes in human-generated content and AI-driven data, outputting a unified knowledge base for various applications.

Canonical page: https://skillsregistry.net/skills/inckie-wikiknowledge  
JSON: https://api.skillsregistry.net/v1/skills/inckie-wikiknowledge

## Description

Knowledge engineering for humans and AI.

## Trust

- **Trust score (0–1):** 0.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/inckie/WikiKnowledge)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "inckie-wikiknowledge"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/inckie-wikiknowledge` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/inckie-wikiknowledge/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt