# llm-tools

> llm-tools — samestrin-llm-tools. Use this tool when you need to optimize performance for LLM Agents, accelerate tasks with 100x faster execution than Python, and leverage features like native MCP Server and token-optimized search. It solves problems related to slow processing and inefficient project memory management, providing a high-performance alternative for LLM development. Ideal for use cases requiring rapid development, testing, and deployment of LLM models, with inputs including git repositories and outputs comprising optimized project configurations.

Canonical page: https://skillsregistry.net/skills/samestrin-llm-tools  
JSON: https://api.skillsregistry.net/v1/skills/samestrin-llm-tools

## Description

High-performance Go tools for LLM Agents (MCP/CLI). 100x faster than Python. Includes native MCP Server, token-optimized search, and persistent project memory.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/samestrin/llm-tools)

## 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": "samestrin-llm-tools"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/samestrin-llm-tools` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/samestrin-llm-tools/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
