# veyra-tasks

> veyra-tasks — aquariosan-veyra-tasks. Use this tool when you need to manage tasks for AI agents, streamlining their workflow and productivity. It solves problems of task organization and version control, allowing agents to read freely and write with Veyra commit mode. With git capabilities, it provides a seamless interface for inputting and outputting task updates, making it ideal for AI development and collaboration contexts.

Canonical page: https://skillsregistry.net/skills/aquariosan-veyra-tasks  
JSON: https://api.skillsregistry.net/v1/skills/aquariosan-veyra-tasks

## Description

Task management for AI agents. Read freely, write with Veyra commit mode.

## 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:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Aquariosan/veyra-tasks)

## 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": "aquariosan-veyra-tasks"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-tasks` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aquariosan-veyra-tasks/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