Llm Application Dev Prompt Optimize
Evaluate and improve LLM prompts using examples, structured instructions, and measured comparisons.
by rmyndharis · MIT
The skill
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.mdfor detailed patterns and examples.
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: rmyndharis/llm-application-dev-prompt-optimize-77711899160.
Details
- Publisher
- rmyndharis
- Category
- Software Development › Misc
- License
- MIT
- Updated
- 2026-10-14
References
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