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Prompt Optimizer

Checked
cnn-cnn-creatoe·vlatest·ai-ml

Optimizes prompts for AI models to improve response quality and accuracy – crucial for better results across various applications.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add cnn-cnn-creatoe/ai-health-assistant --skill prompt-optimizer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

cnn-cnn-creatoe

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

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    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned cnn-cnn-creatoe/ai-health-assistant at f1ab475a52.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f1ab475a52
Manifest
.cursor/skills/prompt-optimizer/SKILL.md
Scanned
1 file, 89 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

This skill optimizes prompts for AI agents, specifically designed to enhance the performance of CNN (Convolutional Neural Network) models. It refines prompt wording and structure to improve accuracy and relevance in responses generated by these AI systems. The tool aims to produce more targeted and effective outputs from CNN-powered applications.

When to use it

  • Improving Image Recognition Accuracy: Refine prompts used for image classification tasks where the CNN model struggles with specific categories.
  • Enhancing Object Detection Performance: Optimize prompts guiding object detection models to better identify and locate objects within images or videos.
  • Generating More Relevant Text Descriptions: Improve prompts that instruct a CNN-based system to generate textual descriptions of visual content.
  • Debugging Unexpected Model Behavior: Use the optimizer to analyze and adjust prompts when a CNN model produces inconsistent or incorrect results.

Key capabilities

  • Prompt refinement for CNN models
  • Improved accuracy in AI agent responses
  • Enhanced relevance of generated outputs
  • Optimized prompt wording and structure

Example prompts

  • "Optimize this prompt: 'Describe the scene in this image.'"
  • "Refine this prompt to improve object detection: 'Find all cars in this photograph.'"
  • "Can you make this prompt more effective for image classification: 'What is this?'"

Tips & gotchas

This skill is specifically tailored for CNN-based AI models. It may not be as effective with other types of machine learning architectures. Ensure your prompts are clear and concise to allow the optimizer to work effectively.