# io.github.rog0x/task

> Use this tool when you need to manage tasks and prioritize activities for AI agents, solving problems of task organization and estimation. It provides inputs for todo lists, priority settings, and estimation, and outputs burndown charts to track progress. Ideal for use cases requiring efficient task management and visualization in AI-driven projects.

Canonical page: https://skillsregistry.net/skills/io-github-rog0x-task  
JSON: https://api.skillsregistry.net/v1/skills/io-github-rog0x-task

## Description

Todo, priority, estimation, burndown for AI agents

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.1
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.rog0x%2Ftask)
- **Repository:** <https://github.com/rog0x/mcp-task-tools>

## 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": "io-github-rog0x-task"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-task` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-rog0x-task/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