# fieldcure-assiststudio-runner

> fieldcure-assiststudio-runner — fieldcure-fieldcure-assiststudio-runner. Use this tool when you need to automate natural language tasks, such as text generation or language translation, and execute them with any Large Language Model (LLM) provider. It solves problems of manual task execution and integrates with various communication channels like Slack, Telegram, and Email for result delivery. It accepts task schedules via MCP and outputs results through preferred communication channels, making it ideal for automating language-related workflows.

Canonical page: https://skillsregistry.net/skills/fieldcure-fieldcure-assiststudio-runner  
JSON: https://api.skillsregistry.net/v1/skills/fieldcure-fieldcure-assiststudio-runner

## Description

Headless LLM task runner — schedule natural language tasks via MCP, execute with any LLM provider, deliver results through Slack/Telegram/Email

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/fieldcure/fieldcure-assiststudio-runner)

## 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": "fieldcure-fieldcure-assiststudio-runner"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/fieldcure-fieldcure-assiststudio-runner` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/fieldcure-fieldcure-assiststudio-runner/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
