# Spec Workflow

> Use this tool when you need to streamline project management and ensure systematic feature development through a structured four-phase process. It solves problems of disorganized development workflows, lack of stakeholder oversight, and incomplete documentation by providing a real-time web dashboard, approval workflows, and AI-powered validation. The Spec Workflow tool takes in project requirements and steering documents as inputs and outputs a transparent, traceable, and collaborative development lifecycle.

Canonical page: https://skillsregistry.net/skills/spec-workflow  
JSON: https://api.skillsregistry.net/v1/skills/spec-workflow

## Description

Spec-driven development workflow MCP server that provides structured project management through a four-phase process: requirements gathering, technical design, task breakdown, and implementation execution. Built by @pimzino, the implementation features a real-time web dashboard for monitoring progress, approval workflows for stakeholder review, and specialized AI agents for validating each phase before moving forward. The server integrates steering documents for project context, atomic task management with requirement traceability, and cross-platform compatibility, making it valuable for teams wanting systematic feature development with clear documentation trails and collaborative oversight throughout the development lifecycle.

## 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:** ai-ml
- **Updated:** 2026-04-25

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/spec-workflow)
- **Repository:** <https://github.com/pimzino/spec-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": "spec-workflow"
    }
  }
}
```

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