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Ai prompt engineering

Skill ebarti/skills/ai-prompt-engineering

📚 Agent skills distilled from technical books — AI Engineering, Context Engineering, Designing Data-Intensive Applications, and more. Agent-agnostic, plain Markdown. Give your AI agent a bookshelf.

Install
npx -y skills add ebarti/skills --skill ai-prompt-engineering

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Practical knowledge for writing, organizing, and defending prompts for foundation models. Covers in-context learning (zero-shot, few-shot), system vs user prompts, context efficiency, prompting best practices (clear instructions, examples, decomposition, chain-of-thought), prompt versioning, and defensive prompt engineering against jailbreaks and prompt injection attacks. Use this skill when: - Writing or improving prompts for an LLM application - Setting up prompt templates and versioning - Breaking down a complex task into prompts - Defending against prompt injection or jailbreaking - Designing system prompts and context structures - Evaluating prompt engineering tools

SKILL.md

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AI Prompt Engineering

Knowledge from "AI Engineering" by Chip Huyen (Chapter 5). Focused on practical prompting techniques and defensive strategies.

Quick Start

  1. Check guidelines.md to find which files to load for your task
  2. Load only relevant files (each topic has knowledge.md, rules.md, examples.md)
  3. Apply guidance to your work

Contents

References

CategoryPurpose
prompting-fundamentalsIn-context learning, zero/few-shot, system vs user prompts, context length
prompting-best-practicesClear instructions, examples, task decomposition, chain-of-thought, iteration, versioning
defensive-promptingJailbreaking, prompt injection (direct/indirect), information extraction, defenses

Workflows

TaskWorkflow
Write a new prompt with best practicesworkflows/build-prompt.md
Audit a prompt for security vulnerabilitiesworkflows/audit-prompt-security.md

Guidelines

See guidelines.md for task-based file selection.

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