Prompt Master — Zero-Waste AI Prompt Generator Skill

What it is

Prompt Master is a Claude Code skill that generates optimized prompts for over 30 AI tools. It auto-detects the target tool from your description, applies 5 proven optimization techniques, and catches 35 common patterns that waste AI credits.

The skill targets developers and teams who use multiple AI tools and want consistent, high-quality prompts without manually learning each tool's prompt engineering best practices.

How it saves time or tokens

Poorly written prompts cause models to produce vague, incomplete, or incorrect responses, leading to expensive retry cycles. Prompt Master front-loads the optimization, producing prompts that get the right output on the first attempt.

The credit-killing pattern detector identifies common mistakes: overly broad instructions, missing context, ambiguous specifications, and unnecessary verbosity. Fixing these before submission saves significant token costs.

How to use

1. Install the Prompt Master skill in your Claude Code project.

1. Describe what you want the AI to do:

Generate a prompt for: summarize a long technical document
                       into a 3-paragraph executive summary
                       for non-technical stakeholders

1. Prompt Master generates an optimized prompt:

You are a technical writer creating executive summaries.

Input: [Technical document text]

Task: Write a 3-paragraph executive summary.

Paragraph 1: Key findings and conclusions (2-3 sentences)
Paragraph 2: Business impact and recommendations (2-3 sentences)
Paragraph 3: Next steps and timeline (2-3 sentences)

Constraints:
- Use plain language, no jargon
- Audience: C-suite executives without technical background
- Each paragraph: 50-75 words

1. Review, adjust, and use the generated prompt with your target AI tool.

Example

# Using Prompt Master programmatically
result = prompt_master.generate(
    task='Code review for Python backend',
    target_tool='claude-code',
    constraints=['Focus on security', 'Check for SQL injection', 'Max 500 words']
)
print(result.optimized_prompt)
print(f'Estimated token savings: {result.savings_percent}%')

Related on TokRepo

• Prompt Library — Curated collection of effective prompts
• AI Tools for Coding — AI coding tools and prompt optimization

Common pitfalls

• Generating prompts without specifying the target tool. Each AI tool has different strengths and prompt formats. Prompt Master optimizes differently for Claude vs GPT vs Gemini.
• Not iterating on generated prompts. Prompt Master provides a strong starting point but may not capture domain-specific requirements. Refine the output based on actual results.
• Over-constraining the prompt. Too many constraints can make the AI output rigid and unnatural. Balance structure with flexibility.
• Failing to review community discussions and changelogs before upgrading. Breaking changes in major versions can disrupt existing workflows. Pin versions in production and test upgrades in staging first.