llm-application-dev-prompt-optimize
This tool helps developers refine prompts to improve model accuracy and reduce token costs.
Install
mkdir -p .claude/skills/llm-application-dev-prompt-optimize && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/6831" && unzip -o skill.zip -d .claude/skills/llm-application-dev-prompt-optimize && rm skill.zipInstalls to .claude/skills/llm-application-dev-prompt-optimize
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
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 optimizatiKey capabilities
- →Optimize LLM system prompts
- →Reduce model hallucinations
- →Cut inference costs
- →Apply constitutional AI techniques
How it works
The skill uses advanced techniques like chain-of-thought and constitutional AI to refine prompts for better accuracy and lower costs.
Inputs & outputs
When to use llm-application-dev-prompt-optimize
- →Optimizing LLM system prompts
- →Reducing model hallucinations
- →Cutting inference costs
About this skill
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.
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.
When not to use it
- →Tasks unrelated to prompt engineering
Limitations
- →Requires clear task scope
How it compares
It applies systematic optimization techniques rather than manual prompt tweaking.
Compared to similar skills
llm-application-dev-prompt-optimize side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| llm-application-dev-prompt-optimize (this skill) | 1 | 4mo | No flags | Advanced |
| openrouter | 19 | 9mo | Review | Intermediate |
| llama-factory | 15 | 8mo | No flags | Advanced |
| grpo-rl-training | 5 | 7mo | No flags | Advanced |
Try saying
Example prompts that trigger this skill in your AI assistant.
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