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Prompt Optimization

Checked
proflead·vlatest·ai-ml

Refines prompts for professional lead generation, maximizing response rates and data quality through iterative AI optimization.

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 proflead/codex-skills-library --skill prompt-optimization -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

proflead

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 proflead/codex-skills-library at a05260c883.

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

Commit
a05260c883
Manifest
.codex/skills/prompt-optimization/SKILL.md
Scanned
1 file, 34 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 refines and optimizes prompts to improve the quality of AI agent responses. It analyzes existing prompts, identifies areas for improvement (like clarity or specificity), and suggests revised versions that elicit more accurate and relevant outputs. The goal is to maximize the effectiveness of your interactions with AI models by crafting precise instructions.

When to use it

  • Unsatisfactory Results: When an AI agent consistently provides responses that are off-topic, inaccurate, or incomplete.
  • Complex Tasks: When you need the AI to perform a nuanced task requiring detailed instructions and specific constraints.
  • Iterative Refinement: During development of AI workflows where prompt quality directly impacts performance.
  • Cost Optimization: By improving prompt efficiency, reduce token usage and associated costs.

Key capabilities

  • Prompt Analysis: Identifies weaknesses in existing prompts.
  • Suggestion Generation: Proposes revised prompts for improved results.
  • Clarity Enhancement: Focuses on making prompts more understandable to the AI model.
  • Specificity Improvement: Adds detail and context to guide the AI's response.

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat.'"
  • "Analyze this prompt for clarity: 'Summarize the key findings of this research paper, focusing on methodology.'"
  • "Suggest improvements to this prompt to get more detailed results: 'Explain photosynthesis.'"

Tips & gotchas

The effectiveness of this skill depends on providing clear and well-defined initial prompts. It's best used as an iterative tool; review suggested changes carefully before implementing them.