pulsemcp verified Safe content atomic mcp-remote

Claude Code Prompt Engineer

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.

Cognium trust score

97%

Tier

Verified

Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.

Scan details: Circle-IR · 2026-09-28 · Appeal

View full trust & usage report →

Metadata

Version: 1.0.0
Skill type: atomic
Execution layer: mcp-remote
Category: ai-ml
Source: PulseMCP
Repository: github.com/gr3enarr0w/cc_peng_mcp
Author type: human
Last scanned: 2026-09-28
Updated: 2026-09-28

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MCP

Resolve Claude Code Prompt Engineer from your agent

Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.

One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.

claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp

Swap --scope user for --scope project to commit it to .mcp.json.

Your client Same endpoint everywhere; only the config key differs. The full list is in the descriptor.

Claude Desktop · Settings → Connectors → Add custom connector

https://api.skillsregistry.net/mcp

Paste the URL as the connector endpoint. No authentication.

ChatGPT · Settings → Connectors → Create (developer mode) → MCP server URL

https://api.skillsregistry.net/mcp

Authentication: none. Works in chat and deep research — the server exposes the connector search and fetch tools.

Codex CLI · ~/.codex/config.toml

[mcp_servers.skillsregistry]
url = "https://api.skillsregistry.net/mcp"