# Claude Code Prompt Engineer

> Use this tool when you need to optimize natural language requests into structured prompts for Claude Code, solving problems like inefficient code interactions and ambiguous requests. It takes in natural language input and outputs optimized, task-specific prompts with interactive refinement capabilities. Ideal for developers seeking to maximize the effectiveness of their Claude Code interactions through better prompt structure and context.

Canonical page: https://skillsregistry.net/skills/gr3enarr0w-claude-code-prompt-engineer  
JSON: https://api.skillsregistry.net/v1/skills/gr3enarr0w-claude-code-prompt-engineer

## Description

Advanced prompt engineering MCP server for Claude Code that automatically detects and optimizes natural language requests into structured, task-specific prompts with interactive refinement capabilities. Built by Clark Everson, the implementation uses pattern matching to detect programming languages and task types (debug, test, refactor, explain, architecture), then generates optimized prompts with Claude Code-specific instructions and tool usage recommendations without requiring external API dependencies. Features interactive Q&A sessions for ambiguous requests, automatic language detection across 10+ programming languages, and built-in intelligence that works entirely with Claude Code's native capabilities, making it valuable for developers who want to maximize the effectiveness of their Claude Code interactions through better prompt structure and context.

## Trust

- **Trust score (0–1):** 0.97
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gr3enarr0w-claude-code-prompt-engineer)
- **Repository:** <https://github.com/gr3enarr0w/cc_peng_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": "gr3enarr0w-claude-code-prompt-engineer"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gr3enarr0w-claude-code-prompt-engineer` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gr3enarr0w-claude-code-prompt-engineer/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