# knowledge-management

> knowledge-management — claireaicodes-knowledge-management. Use this tool when you need to organize and classify knowledge entries into structured folders by content type, solving problems of information overload and disorganization. It takes in unstructured knowledge entries and outputs categorized folders for Research, Decision, and Insight content. Ideal for use when managing large volumes of information and requiring efficient retrieval and access to specific content types.

Canonical page: https://skillsregistry.net/skills/claireaicodes-knowledge-management  
JSON: https://api.skillsregistry.net/v1/skills/claireaicodes-knowledge-management

## Description

Organize and classify OpenClaw knowledge entries into local folders by content type (Research, Decision, Insight.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/claireaicodes-knowledge-management)

## 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": "claireaicodes-knowledge-management"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/claireaicodes-knowledge-management` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/claireaicodes-knowledge-management/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