Agent skill · writing content · aiskillstore
prompt-optimization
Expert prompt optimization for LLMs and AI systems. Use when building
Why this skill is useful
Provides specific techniques and patterns for optimizing prompts that improve LLM interactions and performance.
What it needs
About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
Prompt Optimization This skill optimizes prompts for LLMs and AI systems, focusing on effective prompt patterns, few-shot learning, and optimal AI interactions. When to Use This Skill When building AI features or agents When improving LLM response quality When crafting system prompts When optimizing agent performance When implementing few-shot learning When designing AI workflows What This Skill Does 1. Prompt Design: Creates effective prompts with clear structure 2. Few-Shot Learning: Implements few-shot examples for better results 3. Chain-of-Thought: Uses reasoning patterns for complex tasks 4. Output Formatting: Specifies clear output formats 5. Constraint Setting: Sets boundaries and constraints 6. Performance Optimization: Improves prompt efficiency and results How to Use Optimize Prompt Specific Patterns Prompt Techniques Structure Clear Sections: Role definition Task description Constraints and boundaries Output format Examples Few-Shot Learning Pattern: Provide 2-3 examples Show input-output pairs Demonstrate desired style Include edge cases Chain-of-Thought Approach: Break down complex tasks Show reasoning steps Encourage step-by-step thinking Verify intermediate results Examples Example 1: Code Review Prompt Input: Create optimized code review prompt Output: You are an expert code reviewer with 10+ years of experience. Review the provided code focusing on: 1. Security vulnerabilities 2. Performance optimizations 3. Code maintainability 4. Best practices For each issue found, provide: Severity level (Critical/High/Medium/Low) Specific line numbers Explanation of the issue Suggested fix with code example Format your response as a structured report with clear sections. Best Practices Prompt Design 1. Be Specific: Clear, unambiguous instructions 2. Provide Examples: Show desired output format 3. Set Constraints: Define boundaries clearly 4. Iterate: Test and refine prompts 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/prompt-optimization