How does this skill help reduce AI hallucinations?

It implements best practices such as providing reference context, setting explicit constraints, and using delimiters to ground the model and ensure more accurate responses.

Can I use this skill to get JSON responses from an AI?

Yes, the skill includes specific templates and retry logic patterns designed to force LLMs to return valid, structured JSON data for programmatic use.

What is the Prompt Engineering skill for Claude Code?

It is a specialized capability that provides developers with advanced techniques, templates, and patterns like Chain of Thought to maximize the effectiveness of Large Language Model interactions.

What is the ReAct pattern included in this skill?

The ReAct pattern combines reasoning (Thought) with action (Action/Observation), allowing the AI to solve complex problems by thinking through steps and interacting with external data.

Prompt Engineering Toolkit

Name: Prompt Engineering Toolkit
Author: pluginagentmarketplace

bypluginagentmarketplace

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데이터 과학 및 ML

Optimizes Large Language Model performance through expert prompt design, few-shot learning, and advanced reasoning patterns.

The Prompt Engineering skill provides a comprehensive framework for building high-performing AI applications by mastering prompt design and optimization. It equips developers with standardized templates for complex reasoning tasks using Chain of Thought and ReAct patterns, while offering robust tools for structured data extraction and few-shot learning. By implementing these industry-standard techniques, users can reduce hallucinations, improve response consistency, and automate multi-step LLM workflows with programmatic precision.

주요 기능

01Standardized templates for expert system prompts and role-based personas

022 GitHub stars

03Implementation of Chain of Thought (CoT) and ReAct reasoning patterns

04Structured output formatting for reliable JSON and schema-based data extraction

05Advanced prompt chaining and dynamic template generation for complex workflows

06Few-shot learning integration to improve model consistency and accuracy

사용 사례

01Standardizing LLM outputs for integration into production data pipelines

02Improving model performance on complex logical, mathematical, or coding tasks

03Building autonomous AI agents that require iterative reasoning and tool use

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add pluginagentmarketplace/custom-plugin-ai-engineer prompt-engineering

For use in Claude.ai and ChatGPT

Download Skill