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agent-prompt-engineer

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Optimize AI prompts for peak performance.

Software Engineering#prompt engineering#llm#prompt design#ai optimization#agentic workflow#co-star framework
Authorseqis
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill addresses the challenge of crafting effective prompts for Large Language Models (LLMs), ensuring optimal performance, reliability, and security in AI applications.

Core Features & Use Cases

  • Prompt Design & Optimization: Utilizes the CO-STAR framework and various prompting techniques (few-shot, CoT, ReAct) to create precise and effective prompts.
  • Model Specialization: Provides guidance on adapting prompts for different LLMs like Claude, GPT-4, and Gemini.
  • Use Case: You need to develop a prompt for an AI assistant to summarize complex legal documents. This skill will help you design a prompt that specifies the desired output format, tone, and key information to extract, ensuring accurate and concise summaries.

Quick Start

Use the agent-prompt-engineer skill to design a prompt for summarizing legal documents, focusing on extracting key dates and parties involved.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: agent-prompt-engineer
Download link: https://github.com/seqis/OpenClaw-Skills-Converted-From-Claude-Code/archive/main.zip#agent-prompt-engineer

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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