skills.rest
OutlineDriven
OutlineDrivenOFFICIAL
Explore all skills by this author →
GitHub

prompt-engineering

Guides prompt refinement for LLMs using techniques like Chain of Thought and XML tags.

34|Updated Nov 17, 2025
Search Tags:#Claude#prompt optimization#LLM#Gemini#GPT#AI systems#AI features#agent performance
One-click install
npx skills add https://github.com/OutlineDriven/odin-claude-plugin --skill prompt-engineering-outlinedriven
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: prompt-engineering
Source: https://github.com/OutlineDriven/odin-claude-plugin/tree/main/skills/prompt-engineering
Command: npx skills add https://github.com/OutlineDriven/odin-claude-plugin --skill prompt-engineering-outlinedriven

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill empowers users to overcome the challenge of inconsistent or suboptimal AI responses by providing expert guidance on crafting effective prompts. It leverages empirically-tested techniques to elicit precise, high-quality outputs from various LLMs, saving time and improving AI feature reliability.

Core Features & Use Cases

  • Universal Prompting Fundamentals: Covers clarity, specificity, few-shot examples, context, constraints, and response format control for consistent results.
  • Advanced Techniques: Explores Chain of Thought (CoT) prompting (with model-specific nuances), XML tags for structured input, role assignment, and prompt chaining.
  • Model-Specific Optimization: Provides quick references and recommendations for Claude, Gemini, and GPT models, including parameter tuning.
  • Use Case: Improve the accuracy of an AI agent summarizing customer feedback. This skill helps refine the prompt to ensure summaries are concise, capture key sentiments, and adhere to specific formatting requirements.

Quick Start

Use the prompt-engineering skill to optimize a prompt for Claude 4.5 to generate a concise executive summary from a long report. The agent will guide you through refining the prompt for clarity and desired output.