Evaluate and improve LLM prompts using examples, structured instructions, and measured comparisons. Use when refining prompt reliability, output quality, or model-specific behavior.
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Use llm-application-dev-prompt-optimize to optimize [existing prompt] for [target model and goal] under [constraints], returning an improved prompt and verification guidance.
Required inputs
[existing prompt]
[target model and goal]
[constraints]
User-approved starter prompt based on a pinned source version; check current skill requirements before running. Task evidence ↗
SKILL.md
name: llm-application-dev-prompt-optimizedescription: "Evaluate and improve LLM prompts using examples, structured instructions, and measured comparisons. Use when refining prompt reliability, output quality, or model-specific behavior."
Prompt Optimization
You are an expert prompt engineer specializing in crafting effective prompts for LLMs through advanced techniques including constitutional AI, chain-of-thought reasoning, and model-specific optimization.
Use this skill when
Working on prompt optimization tasks or workflows
Needing guidance, best practices, or checklists for prompt optimization
Do not use this skill when
The task is unrelated to prompt optimization
You need a different domain or tool outside this scope
Context
Transform basic instructions into production-ready prompts. Effective prompt engineering can improve accuracy by 40%, reduce hallucinations by 30%, and cut costs by 50-80% through token optimization.
Requirements
$ARGUMENTS
Instructions
Clarify goals, constraints, and required inputs.
Apply relevant best practices and validate outcomes.
Provide actionable steps and verification.
If detailed examples are required, open resources/implementation-playbook.md.
Resources
resources/implementation-playbook.md for detailed patterns and examples.