# local-delegate

> local-delegate — zahirinatzuke-local-delegate. Use this tool when you need to offload mechanical text-to-text tasks to conserve subscription quota, processing large content server-side without impacting context limits. It delegates tasks to a local Large Language Model (LLM), allowing for efficient handling of text-based operations. Ideal for use cases involving big data or repetitive text processing, this tool optimizes resource utilization and minimizes costs.

Canonical page: https://skillsregistry.net/skills/zahirinatzuke-local-delegate  
JSON: https://api.skillsregistry.net/v1/skills/zahirinatzuke-local-delegate

## Description

Delegates mechanical text-to-text tasks to a local LLM to save Claude subscription quota, reading files server-side so large content never enters Claude's context.

## Trust

- **Trust score (0–1):** 0.62
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rav4a96ijr)
- **Repository:** <https://github.com/ZahiriNatZuke/local-delegate>

## 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": "zahirinatzuke-local-delegate"
    }
  }
}
```

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