meta-prompt-engineering
CommunityEngineer reliable AI prompts.
Authorlyndonkl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill transforms vague or unreliable prompts into structured, constraint-aware prompts that produce consistent, high-quality outputs with built-in safety and evaluation, eliminating guesswork and improving AI reliability.
Core Features & Use Cases
- Improve Reliability: Ensure consistent outputs across multiple runs.
- Add Structure: Break down complex tasks into clear, manageable steps.
- Enforce Constraints: Define explicit limits on length, tone, content, and format.
- Enable Evaluation: Build in self-checking mechanisms and quality criteria.
- Encode Expertise: Systematically apply domain knowledge into prompts.
- Use Case: You have a prompt that generates inconsistent summaries of articles. Use this Skill to add structure, define length constraints, and specify a tone to ensure every summary is reliable and meets your requirements.
Quick Start
Use the meta-prompt-engineering skill to refine the prompt 'Write a blog post about AI safety'.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: meta-prompt-engineering Download link: https://github.com/lyndonkl/claude/archive/main.zip#meta-prompt-engineering Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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