# io.github.cdeust/prd-spec-generator

> io.github.cdeust/prd-spec-generator — cdeust-ai-architect-mcp-spec. Use this tool when you need to generate structured and validated Product Requirements Documents (PRDs) from feature descriptions, solving problems of inconsistent documentation and inefficient validation processes. It takes in feature descriptions and outputs validated PRDs through a staged reducer pipeline, providing tools for pipeline control and validation. Ideal for use cases where standardized documentation is crucial, such as product development and project planning.

Canonical page: https://skillsregistry.net/skills/cdeust-ai-architect-mcp-spec  
JSON: https://api.skillsregistry.net/v1/skills/cdeust-ai-architect-mcp-spec

## Description

Generates structured, validated PRDs from feature descriptions via a staged reducer pipeline. Provides MCP tools for pipeline control, section/document validation, context budgeting, and failure-to-retrieval mapping.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dvnsie0hi7)
- **Repository:** <https://github.com/cdeust/ai-architect-mcp-spec>

## 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": "cdeust-ai-architect-mcp-spec"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cdeust-ai-architect-mcp-spec` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cdeust-ai-architect-mcp-spec/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