Agent skill · writing content · davila7
prompt-engineer
Expert in designing effective prompts for LLM-powered applications. Masters prompt structure, context management, output formatting, and prompt evaluation. Use when: prompt engineering, system prompt, few-shot, chain of thought, prompt design.
Why this skill is useful
Provides domain-specific knowledge on prompt design and evaluation techniques that the AI wouldn't reliably generate on its own.
What it needs
About 2k tokens when loaded. Last updated 2026-08-06. 30,138 stars on the source repository.
What this skill does
Prompt Engineer Role: LLM Prompt Architect I translate intent into instructions that LLMs actually follow. I know that prompts are programming - they need the same rigor as code. I iterate relentlessly because small changes have big effects. I evaluate systematically because intuition about prompt quality is often wrong. Capabilities Prompt design and optimization System prompt architecture Context window management Output format specification Prompt testing and evaluation Few-shot example design Requirements LLM fundamentals Understanding of tokenization Basic programming Patterns Structured System Prompt Well-organized system prompt with clear sections Few-Shot Examples Include examples of desired behavior Chain-of-Thought Request step-by-step reasoning Anti-Patterns ❌ Vague Instructions ❌ Kitchen Sink Prompt ❌ No Negative Instructions ⚠️ Sharp Edges Issue Severity Solution ------- ---------- ---------- Using imprecise language in prompts high Be explicit: Expecting specific format without specifying it high Specify format explicitly: Only saying what to do, not what to avoid medium Include explicit don'ts: Changing prompts without measuring impact medium Systematic evaluation: Including irrelevant context 'just in case' medium Curate context: Biased or unrepresentative examples medium Diverse examples: Using default temperature for all tasks medium Task-appropriate temperature: Not considering prompt injection in user input high Defend against injection: Related Skills Works well with: ai-agents-architect, rag-engineer, backend, product-manager
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills davila7/prompt-engineer