Prompting Skill

Install: npx skills add diskd-ai/prompting | skills.sh

Prompt engineering guidance for writing and improving LLM prompts.

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Scope & Purpose

This skill provides guidance for crafting effective prompts for any LLM (Claude, GPT, Gemini, Llama, etc.), covering:

• Writing new prompts from scratch
• Reviewing and improving existing prompts
• Designing system prompts for AI assistants
• Structuring prompts for specific output formats (JSON, XML, markdown)
• Applying prompt engineering techniques

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When to Use This Skill

Triggers:

• Asked to write a prompt for a specific task
• Need to review or improve an existing prompt
• Designing system prompts for AI assistants
• Structuring prompts for specific output formats
• Applying techniques like few-shot, chain-of-thought, or role prompting

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Quick Reference: Techniques

Technique	When to Use
Few-shot	Specific format/style needed
Chain-of-thought	Complex reasoning, math, analysis
Role prompting	Domain expertise, specific tone
Task decomposition	Multi-step workflows
Constraints	Precise requirements

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Quick Reference: Output Formats

Format	When to Use
XML tags	Complex prompts, clear section boundaries
JSON	Programmatic parsing, structured data
Markdown	Human-readable reports, documentation

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Prompt Template

[Context/Role - optional]
[Task - required]
[Constraints/Requirements - as needed]
[Output format - as needed]
[Examples - for complex tasks]

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Skill Structure

prompting/
  SKILL.md          # Full prompt engineering guide
  README.md         # This file (overview)
  references/       # Supporting documentation
    techniques.md   # Detailed technique patterns
    structured.md   # Output format patterns
    system-prompts.md # System prompt design

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Resources

• Full skill reference: SKILL.md
• Techniques guide: references/techniques.md
• Structured outputs: references/structured.md
• System prompts: references/system-prompts.md

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License

MIT