# tinytask

> Use this tool when you need to manage and collaborate on tasks with other LLM agents, supporting create, read, update, and delete operations. It solves problems of task organization, prioritization, and communication among agents, providing features like task blocking, subtasks, queues, and comments. Ideal for use cases requiring structured task management and agent collaboration, with inputs including task details and outputs including updated task status and comments.

Canonical page: https://skillsregistry.net/skills/ericroliver-tinytask  
JSON: https://api.skillsregistry.net/v1/skills/ericroliver-tinytask

## Description

A minimal task management system for LLM agent collaboration via the Model Context Protocol, supporting CRUD operations, task blocking, subtasks, queues, and comments.

## Trust

- **Trust score (0–1):** 0.64
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/gyh5u1vs70)
- **Repository:** <https://github.com/ericroliver/tinytask>

## 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": "ericroliver-tinytask"
    }
  }
}
```

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