Prompt Engineer
This Prompt Engineer skill helps refine AI prompts for optimal results, boosting your model's performance and accuracy across various tasks.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add htlin222-prompt-engineer npx -- -y @trustedskills/htlin222-prompt-engineer
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"htlin222-prompt-engineer": {
"command": "npx",
"args": [
"-y",
"@trustedskills/htlin222-prompt-engineer"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
This skill allows AI agents to craft effective prompts for various language models. It focuses on generating clear, concise instructions that elicit desired responses from LLMs, improving the quality and relevance of generated text. The skill aims to optimize prompt structure and content to achieve specific outcomes like summarization, creative writing, or code generation.
When to use it
- Generating marketing copy: Create prompts for AI agents to produce engaging ad headlines or social media posts.
- Summarizing lengthy documents: Instruct an agent to generate concise summaries of research papers or legal contracts using tailored prompts.
- Code generation assistance: Develop prompts that guide the AI in generating code snippets based on specific requirements and programming languages.
- Creative writing tasks: Use it to produce prompts for stories, poems, or scripts with defined styles and themes.
Key capabilities
- Prompt optimization
- Instruction refinement
- Output tailoring
- Contextual prompt generation
Example prompts
- "Generate a prompt that asks the AI to summarize this article in three sentences."
- "Create a prompt for generating Python code that sorts a list of numbers."
- “Write a prompt instructing the LLM to write a short story about a cat detective.”
Tips & gotchas
The effectiveness of this skill depends on providing clear and specific instructions regarding the desired output. Experimentation with different prompt structures is encouraged to achieve optimal results for various language models.
Tags
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.