# picoqmd

> picoqmd — altseneca-picoqmd. Use this tool when you need to perform efficient and lightweight full-text search and querying on local data, leveraging a hybrid search engine that combines BM25, vector search, and reranking capabilities. It solves problems related to fast and accurate information retrieval, especially in resource-constrained environments like Raspberry Pi devices. The picoqmd tool accepts query inputs and returns relevant search results, making it ideal for use cases where a compact, self-contained search solution is required.

Canonical page: https://skillsregistry.net/skills/altseneca-picoqmd  
JSON: https://api.skillsregistry.net/v1/skills/altseneca-picoqmd

## Description

Lightweight QMD alternative: fully local hybrid search engine (BM25 + vector + rerank) and MCP server in a single ~15MB Go binary. No Node.js. Runs on Raspberry Pi.

## Trust

- **Trust score (0–1):** 0.74
- **Verification tier:** verified
- **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/altSeneca/picoqmd)

## 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": "altseneca-picoqmd"
    }
  }
}
```

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