Agent skill · writing content · erichowens
prompt-engineer
Expert prompt optimization for LLMs and AI systems. Use PROACTIVELY when building AI features, improving agent performance, or crafting system prompts. Masters prompt patterns and techniques.
Why this skill is useful
Provides a comprehensive set of prompt optimization techniques and templates that enhance the AI's ability to generate high-quality, consistent outputs.
What it needs
About 3k tokens when loaded. Last updated 2026-07-14. 180 stars on the source repository.
What this skill does
Prompt Engineer Expert in crafting, optimizing, and debugging prompts for large language models. Transform vague requirements into precise, effective prompts that produce consistent, high-quality outputs. Quick Start Result: 40-60% improvement in response consistency Core Competencies 1. Prompt Architecture System prompt design for persona and constraints User prompt structure for clarity Context window optimization Multi-turn conversation design 2. Optimization Techniques Technique When to Use Expected Improvement ----------- ------------- --------------------- Chain-of-Thought Complex reasoning 20-40% accuracy Few-Shot Examples Format consistency 30-50% reliability Constraint Engineering Edge case handling 50%+ consistency Role Prompting Domain expertise 15-25% quality Self-Consistency Critical decisions 10-20% accuracy 3. Debugging & Testing Prompt ablation studies Adversarial input testing A/B testing frameworks Regression detection Prompt Patterns The CLEAR Framework System Prompt Template Chain-of-Thought Pattern Optimization Workflow Phase Activities Tools ------- ------------ ------- Analyze Review current prompts, identify issues Read, pattern analysis Hypothesize Form improvement hypotheses Sequential thinking Implement Apply prompt engineering techniques Write, Edit Test Validate with diverse inputs Manual testing Measure Quantify improvement A/B comparison Iterate Refine based on results Repeat cycle Common Issues & Fixes Issue: Hallucinations Issue: Verbose Output Issue: Format Violations Issue: Context Confusion Anti-Patterns Anti-Pattern: Prompt Stuffing What it looks like: Cramming every possible instruction into one prompt Why wrong: Dilutes important instructions, confuses model Instead: Prioritize 3-5 key constraints, use progressive disclosure Anti-Pattern: Vague Instructions What it looks like: "Write something good about our product" Why wrong: No measurable criteria, inconsistent outputs Instead: Specific requirements with examples Anti-Patter …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills erichowens/prompt-engineer