# llm_task_manager

> llm_task_manager — jramoncarralero-llm-task-manager. Use this tool when you need to manage tasks efficiently, as it utilizes Large Language Models (LLMs) to streamline task management processes, solving problems related to organization and productivity. It integrates with git, allowing for seamless version control and collaboration. Ideal for developers and teams seeking to optimize their workflow and task assignment.

Canonical page: https://skillsregistry.net/skills/jramoncarralero-llm-task-manager  
JSON: https://api.skillsregistry.net/v1/skills/jramoncarralero-llm-task-manager

## Description

Practica con LLM para un gestor de tareas

## Trust

- **Trust score (0–1):** 0.90
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/JRamonCarralero/llm_task_manager)

## 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": "jramoncarralero-llm-task-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/jramoncarralero-llm-task-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/jramoncarralero-llm-task-manager/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