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Prompt Optimization Analyzer

Checked
auldsyababua·vlatest·ai-ml

Analyzes and optimizes prompts for improved AI model outputs, maximizing efficiency and accuracy using auldsyababua's techniques.

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 auldsyababua/instructor-workflow --skill prompt-optimization-analyzer -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

auldsyababua

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

    No pipe-to-shell or download-and-run installers.

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

  • Pinned to a commit: passed

    Scanned auldsyababua/instructor-workflow at 92702083b8.

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

Commit
92702083b8
Manifest
skills/prompt-optimization-analyzer/SKILL.md
Scanned
1 file, 409 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 analyzes prompts to identify areas for improvement and suggest optimizations. It assesses prompt clarity, efficiency, and potential impact on AI model output. The tool helps users refine their prompting techniques for better results from large language models (LLMs).

When to use it

  • Improving LLM performance: Use this when you're not getting the desired response quality or format from an LLM.
  • Optimizing prompt length: If your prompts are very long, analyze them to see if they can be shortened without losing crucial information.
  • Testing different prompting strategies: Evaluate various prompt structures and wording choices to determine which yields the best outcomes.
  • Troubleshooting unexpected behavior: When an LLM produces inconsistent or undesirable results, this skill can help pinpoint issues in your prompts.

Key capabilities

  • Prompt clarity assessment
  • Efficiency analysis
  • Suggestion of prompt optimizations
  • Impact prediction on model output

Example prompts

  • "Analyze this prompt: 'Write a short story about a cat detective.'"
  • "Can you suggest improvements for the following prompt? 'Summarize this article and extract key entities.'"
  • "Assess the efficiency of this prompt: [long, complex prompt text]"

Tips & gotchas

The skill's effectiveness depends on the quality of the initial prompt provided. It is best used in conjunction with experimentation and iterative refinement of prompts based on the analyzer’s suggestions.