# q-agent

> q-agent — quantumedu-q-agent. Use this tool when you need to orchestrate complex projects with dual-engine capabilities, integrating AI-driven and standalone approaches to manage user stories, vertical slices, and evidence gates. It solves problems related to project management, agile development, and version control, particularly in environments requiring git integration. Ideal for use cases involving multiple project components, AI-assisted planning, and collaborative development.

Canonical page: https://skillsregistry.net/skills/quantumedu-q-agent  
JSON: https://api.skillsregistry.net/v1/skills/quantumedu-q-agent

## Description

Master project orchestrator featuring Dual Engine (Gentle-AI Integrated ODD vs Standalone), Article ARQ-01 Vertical Slices, BMAD User Stories, and Terminal Evidence Gate.

## Trust

- **Trust score (0–1):** 0.91
- **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/QuantumEdu/q-agent)

## 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": "quantumedu-q-agent"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/quantumedu-q-agent` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/quantumedu-q-agent/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