# local-agent

> Use this tool when you need to optimize code generation tasks by leveraging local models for simple tasks and reserving cloud computing for complex ones, reducing costs and improving efficiency. It routes tasks between local models and Claude Cloud, providing a cost-effective solution for code generation. Ideal for use cases where task complexity varies, and cost optimization is crucial.

Canonical page: https://skillsregistry.net/skills/mrfalach-local-agent  
JSON: https://api.skillsregistry.net/v1/skills/mrfalach-local-agent

## Description

Routes code generation tasks between local models and Claude Cloud, optimizing cost by handling simple tasks locally and reserving cloud thinking for complex tasks.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** productivity
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/n3tbgcm0in)
- **Repository:** <https://github.com/MrFalach/local-agent>

## 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": "mrfalach-local-agent"
    }
  }
}
```

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

---
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