# com.retasc/retasc

> com.retasc/retasc — com-retasc-retasc. Use this tool when you need to manage and prioritize coding tasks, track issues, and dispatch work to AI coding agents. It solves problems of task organization, dependency management, and workflow optimization, taking in atomic claims and outputting dependency-aware work assignments. Ideal for use in software development projects that require efficient task management and automation.

Canonical page: https://skillsregistry.net/skills/com-retasc-retasc  
JSON: https://api.skillsregistry.net/v1/skills/com-retasc-retasc

## Description

The issue tracker AI coding agents pull work from: atomic claims, dependency-aware dispatch.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.retasc%2Fretasc)

## Use it

MCP endpoint published by the skill: `https://mcp.retasc.com/mcp`

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": "com-retasc-retasc"
    }
  }
}
```

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