# AI Expert Workflow

> Use this tool when you need to streamline product development by collaborating with AI experts and generating comprehensive documentation. It solves problems related to planning and implementation pipelines by providing access to specialized AI roles, including Product Manager, UX Designer, and Software Architect. The tool takes user requirements as input and outputs actionable development tasks and documentation through its integration with Task Master and OpenRouter API.

Canonical page: https://skillsregistry.net/skills/bacoco-ai-expert-workflow  
JSON: https://api.skillsregistry.net/v1/skills/bacoco-ai-expert-workflow

## Description

AI Expert Workflow MCP is a server implementation that facilitates structured collaboration with AI experts in product development. Developed by bacoco, it provides access to three specialized AI roles: Product Manager, UX Designer, and Software Architect, each generating comprehensive documentation based on user requirements. The server uses OpenRouter API for flexible model selection and includes Task Master integration for converting product requirements into actionable development tasks. This implementation is particularly valuable for teams seeking to streamline the planning-to-implementation pipeline through expert consultation and document generation.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-05-27

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/bacoco-ai-expert-workflow)
- **Repository:** <https://github.com/bacoco/ai-expert-workflow-mcp>

## 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": "bacoco-ai-expert-workflow"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/bacoco-ai-expert-workflow` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/bacoco-ai-expert-workflow/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