# anshumanbh-qmd

> anshumanbh-qmd — anshumanbh-anshumanbh-qmd. Use this tool when you need to efficiently search and retrieve information from markdown knowledge bases, solving problems of information overload and disorganization. It takes in search queries as input and outputs relevant results, making it ideal for users seeking specific information within large markdown repositories. This tool is particularly useful when navigating complex documentation or knowledge bases with extensive markdown content.

Canonical page: https://skillsregistry.net/skills/anshumanbh-anshumanbh-qmd  
JSON: https://api.skillsregistry.net/v1/skills/anshumanbh-anshumanbh-qmd

## Description

Search markdown knowledge bases efficiently.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-21

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** search
- **Updated:** 2026-09-13

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/anshumanbh-anshumanbh-qmd)

## 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": "anshumanbh-anshumanbh-qmd"
    }
  }
}
```

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