# mnemonic

> Use this tool when you need to efficiently search and retrieve information from markdown knowledge bases, leveraging a combination of BM25, vector embeddings, and LLM reranking. It solves problems related to information retrieval, knowledge management, and question answering by providing relevant results with link graph and time decay considerations. The tool accepts markdown knowledge bases as input and outputs relevant search results, making it ideal for applications requiring on-device hybrid search capabilities.

Canonical page: https://skillsregistry.net/skills/naveenadi-mnemonic  
JSON: https://api.skillsregistry.net/v1/skills/naveenadi-mnemonic

## Description

MCP server for on-device hybrid search over markdown knowledge bases, combining BM25, vector embeddings, and LLM reranking with link graph and time decay.

## Trust

- **Trust score (0–1):** 0.66
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/w487dct9bg)
- **Repository:** <https://github.com/naveenadi/mnemonic>

## 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": "naveenadi-mnemonic"
    }
  }
}
```

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