# aikd

> aikd — gelutjari-aikd. Use this tool when you need to quickly search and retrieve specific code snippets from your repository, leveraging indexed semantic and BM25 search algorithms to give your AI instant access to your codebase. It solves problems of code discovery, reuse, and memory, allowing AI agents to learn from and interact with your code more efficiently. Ideal for use with git-based repositories, particularly in Rust and MCP Server environments.

Canonical page: https://skillsregistry.net/skills/gelutjari-aikd  
JSON: https://api.skillsregistry.net/v1/skills/gelutjari-aikd

## Description

Indexed semantic & BM25 code search for AI agents. Give your AI instant memory of your codebase. Rust | MCP Server.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/gelutjari/aikd)

## 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": "gelutjari-aikd"
    }
  }
}
```

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