# sifs

> Use this tool when you need to quickly locate specific code snippets or functions within a large local codebase, as it provides extremely fast hybrid code search capabilities for agents, solving problems related to code discovery and reuse, and accepting code queries as input to return relevant results. It is ideal for use cases where rapid code retrieval is crucial, such as during software development or maintenance. This tool is particularly useful in contexts where agents require swift access to local code repositories.

Canonical page: https://skillsregistry.net/skills/tristanmanchester-sifs  
JSON: https://api.skillsregistry.net/v1/skills/tristanmanchester-sifs

## Description

Extremely fast local hybrid code search for agents.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-05-06

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/y3ah2mlv75)
- **Repository:** <https://github.com/tristanmanchester/sifs>

## 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": "tristanmanchester-sifs"
    }
  }
}
```

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