# AIWorkHub

> AIWorkHub — shrec-aiworkhub. Use this tool when you need to manage and control multi-model AI coding agents in a local environment, streamlining task management and code review. AIWorkHub solves problems related to task automation, source code intelligence, and evidence-based review, providing a seamless interface for git integration and durable context management. It takes in task DAGs and source code as inputs, outputting optimized code and review recommendations.

Canonical page: https://skillsregistry.net/skills/shrec-aiworkhub  
JSON: https://api.skillsregistry.net/v1/skills/shrec-aiworkhub

## Description

Open-source, local-first control plane for multi-model AI coding agents in VS Code and MCP: task DAGs, source intelligence, durable context and evidence-based review.

## Trust

- **Trust score (0–1):** 0.78
- **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/shrec/AIWorkHub)

## 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": "shrec-aiworkhub"
    }
  }
}
```

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