Anthropic Prompt Engineer

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by jamesrochabrun · vlatest · Repository

Crafts highly effective prompts for large language models, maximizing output quality and aligning with desired outcomes.

Install on your platform

We auto-selected Claude Code based on this skill’s supported platforms.

1

Run in terminal (recommended)

terminal
claude mcp add anthropic-prompt-engineer npx -- -y @trustedskills/anthropic-prompt-engineer
2

Or manually add to ~/.claude/settings.json

~/.claude/settings.json
{
  "mcpServers": {
    "anthropic-prompt-engineer": {
      "command": "npx",
      "args": [
        "-y",
        "@trustedskills/anthropic-prompt-engineer"
      ]
    }
  }
}

Requires Claude Code (claude CLI). Run claude --version to verify your install.

About This Skill

The anthropic-prompt-engineer skill optimizes interactions with Anthropic's AI models by structuring complex instructions into clear, actionable formats. It transforms vague user requests into precise prompts that leverage the model's reasoning and context window effectively.

When to use it

  • Refining ambiguous business requirements into detailed project specifications for AI execution.
  • Structuring multi-step logical problems to ensure accurate chain-of-thought reasoning.
  • Enhancing creative writing tasks by defining specific tone, style, and structural constraints.
  • Clarifying technical documentation requests to extract precise code or architectural advice.

Key capabilities

  • Context Optimization: Maximizes the utility of the model's context window for long-form tasks.
  • Instruction Structuring: Converts natural language queries into optimized prompt formats.
  • Reasoning Enhancement: Improves the quality of logical deduction and problem-solving outputs.
  • Constraint Enforcement: Ensures strict adherence to user-defined formatting and stylistic rules.

Example prompts

  • "Use the anthropic-prompt-engineer skill to restructure my vague idea for a marketing campaign into a detailed, step-by-step execution plan."
  • "Apply this skill to convert my rough notes on a software bug into a precise prompt that will help an AI agent debug the issue effectively."
  • "Optimize my request for a Python script using this skill to ensure the generated code includes comprehensive error handling and documentation."

Tips & gotchas

This skill is most effective when your initial input contains some core intent but lacks specific formatting or structural details. While it enhances prompt quality, it does not replace the need for clear foundational context regarding the task's goals.

Tags

🛡️

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Details

Version
vlatest
License
Author
jamesrochabrun
Installs
49

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Passed automated security scans.