# shelfmark

> shelfmark — lucassantana-dev-shelfmark. Use this tool when you need to efficiently search and retrieve specific information from local notes, documents, and code. It solves problems of knowledge recall and information retrieval by providing hybrid search capabilities and precise path:line citations. The shelfmark tool accepts query inputs and returns relevant results with citations, making it ideal for coding agents requiring full-corpus or project-scoped search functionality.

Canonical page: https://skillsregistry.net/skills/lucassantana-dev-shelfmark  
JSON: https://api.skillsregistry.net/v1/skills/lucassantana-dev-shelfmark

## Description

Enables coding agents to query local notes, decisions, docs, and code with hybrid retrieval (BM25 + embeddings + reranking) and get path:line citations. It provides tools like rag_query for full-corpus search and search_knowledge for project-scoped knowledge recall.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ztf2c7lqh6)
- **Repository:** <https://github.com/LucasSantana-Dev/shelfmark>

## 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": "lucassantana-dev-shelfmark"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucassantana-dev-shelfmark` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucassantana-dev-shelfmark/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