# Generate-Prd-Prompt

> Use this tool when you need to dynamically generate prompts and assemble templates for AI assistants interacting with professional content. It solves problems related to content creation and template management by providing a modular architecture that supports 31 technology stacks and 10 analysis dimensions. The tool takes in input parameters and outputs customized prompts and templates, making it ideal for use cases that require automated content generation and assembly.

Canonical page: https://skillsregistry.net/skills/xiaobenyang-com-1777316659532803  
JSON: https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659532803

## Description

Mercury Spec Ops MCP Server is a dynamic prompt generation and template assembly tool based on a modular architecture. It is suitable for the interaction between AI assistants and professional content, and supports the dynamic generation of 31 technology stacks, 10 analysis dimensions and 34 templat

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-02

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wqvjp0zzo5)
- **Repository:** <https://github.com/xiaobenyang-com/1777316659532803>

## 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": "xiaobenyang-com-1777316659532803"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659532803` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/xiaobenyang-com-1777316659532803/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
