# LLM Wiki

> Use this tool when you need to build and manage a knowledge base with persistent and compounding information. It solves problems related to information organization, search, and maintenance by providing a structured markdown file system with tools for page management and health checks. Ideal for use cases requiring centralized knowledge management, such as documentation and research projects, with support for stdio and HTTP transports.

Canonical page: https://skillsregistry.net/skills/sumitroajiprabowo-llm-wiki  
JSON: https://api.skillsregistry.net/v1/skills/sumitroajiprabowo-llm-wiki

## Description

LLM Wiki enables clients to build and maintain persistent, compounding knowledge bases as structured markdown files. It provides tools for initializing wiki vaults, ingesting source documents, managing pages (create, read, update, delete), performing text and semantic search, and running health checks for broken links and orphan pages. Supports stdio and HTTP transports.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/sumitroajiprabowo-llm-wiki)
- **Repository:** <https://github.com/sumitroajiprabowo/llm-wiki-mcp>

## 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": "sumitroajiprabowo-llm-wiki"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sumitroajiprabowo-llm-wiki` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sumitroajiprabowo-llm-wiki/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