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llm-application-dev-prompt-optimize

mlN/AIntermediateClaude
🤖 AI Summary

This skill analyzes and refines existing LLM prompts by applying techniques like chain-of-thought reasoning and constitutional AI, then outputs optimized versions tailored to a specific model.

How to Install

This skill comes from a community source.

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.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

Details

Category AI/ML → ml
Sourcecommunity
SKILL.mdView on GitHub →
Repo StarsN/A
Est. per SkillN/A (shared across 1230 skills from this repo)
DifficultyIntermediate
Risk LevelN/A

Related Skills

Works Well With

Skills from the same repository — often designed to work together