# search-mesh

> search-mesh — jamestkelly-search-mesh. Use this tool when you need to accelerate codebase searches and scans with multi-keyword support, offloading computations to native silicon for improved performance. It solves problems related to slow code searches and context-pruning, providing a single-pass solution for AI agents. The search-mesh tool takes in codebases and keyword inputs, outputting relevant search results and AST context information.

Canonical page: https://skillsregistry.net/skills/jamestkelly-search-mesh  
JSON: https://api.skillsregistry.net/v1/skills/jamestkelly-search-mesh

## Description

SIMD-accelerated, single-pass codebase intelligence fabric for AI agents. Offload multi-keyword scans and AST context-pruning to native silicon.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/jamestkelly/search-mesh)

## 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": "jamestkelly-search-mesh"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jamestkelly-search-mesh` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jamestkelly-search-mesh/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