What are Anthropic's best practices for prompt engineering?

Anthropic recommends being clear and direct, using XML tags to structure content, and providing Claude with 'room to think' through techniques like Chain of Thought.

Can I use this skill to create structured JSON outputs?

Yes, it utilizes multishot prompting and response prefilling techniques to ensure Claude adheres strictly to complex formats like JSON, XML, or Markdown.

Does this skill help with prompt security?

Yes, it includes specialized workflows for jailbreak mitigation and establishing clear ethical boundaries to prevent prompt injections.

How does this skill reduce AI hallucinations?

It implements quality controls such as quote grounding, granting permission to say 'I don't know,' and requiring citations to ensure factual accuracy.

Claude Prompt Engineer

Name: Claude Prompt Engineer
Author: flora131

byflora131

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Data Science & ML

Optimizes AI interactions by applying Anthropic's official prompt engineering best practices to improve accuracy, consistency, and structure.

This skill empowers developers to architect high-performance prompts for Claude by implementing a structured workflow based on official Anthropic guidelines. It provides specific patterns for chain-of-thought reasoning, multishot prompting, and XML tagging to reduce hallucinations and ensure reliable output formats. Whether you are building production-grade API integrations or complex system prompts, this skill offers a specialized toolkit for debugging performance issues and implementing robust security measures like jailbreak mitigation.

Key Features

01Security-focused design patterns to mitigate jailbreaks and prompt injections

02Structured debugging workflows to identify and fix prompt performance issues

0356 GitHub stars

04Built-in quality controls for hallucination reduction and output consistency

05Automated implementation of Anthropic's core prompting principles and XML structuring

06Advanced pattern support including Chain of Thought, Multishot, and Prompt Chaining

Use Cases

01Designing complex system prompts for production-grade AI agents

02Reducing factual errors and hallucinations in domain-specific AI tasks

03Improving output consistency for structured data formats like JSON or XML

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add flora131/atomic prompt-engineer

For use in Claude.ai and ChatGPT

Download Skill