# repo-semantic-search

> repo-semantic-search — shlomihassan-repo-semantic-search. Use this tool when you need to efficiently search and find relevant code sections within local repositories using natural language queries. It solves the problem of tedious manual searching by providing semantic search capabilities, allowing users to locate specific code snippets quickly. The tool takes in natural language inputs and outputs relevant code sections, making it ideal for use cases where traditional grep searches are insufficient.

Canonical page: https://skillsregistry.net/skills/shlomihassan-repo-semantic-search  
JSON: https://api.skillsregistry.net/v1/skills/shlomihassan-repo-semantic-search

## Description

Enables semantic code search over local repositories, providing tools like semantic_search and list_indexed_repos to Claude Code, so users can find relevant code sections via natural language instead of grep.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/pxzbvgc15h)
- **Repository:** <https://github.com/shlomihassan/repo-semantic-search>

## 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": "shlomihassan-repo-semantic-search"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shlomihassan-repo-semantic-search` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shlomihassan-repo-semantic-search/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