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Prompt Optimizer

Checked
hikanner·vlatest·ai-ml·Apache-2.0

The Prompt Optimizer refines your AI prompts for better results by suggesting improvements and variations, boosting response quality and efficiency.

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 ckanner/agent-skills --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

hikanner

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 hikanner/agent-skills at 650567abbd.

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

Commit
650567abbd
Manifest
prompt-optimizer/SKILL.md
Scanned
4 files, 915 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

The Hikanner Prompt Optimizer skill refines and improves user prompts to enhance AI agent performance. It analyzes existing prompts, identifies areas for improvement, and suggests modifications that lead to more accurate or desirable outputs. This ultimately helps users get better results from their AI agents with less effort in prompt engineering.

When to use it

  • You're consistently getting unsatisfactory responses from your AI agent despite trying different prompts.
  • You want to streamline the process of creating effective prompts for complex tasks.
  • You are new to prompt engineering and need assistance crafting clear, concise instructions for an AI model.
  • You’re looking to improve the efficiency and accuracy of automated workflows that rely on AI agent responses.

Key capabilities

  • Prompt analysis
  • Suggestion generation
  • Refinement of existing prompts
  • Improved output quality

Example prompts

  • "Optimize this prompt: 'Write a short story about a cat.'"
  • "Can you improve the clarity of this prompt for generating marketing copy? [Paste Prompt Here]"
  • "I'm getting inconsistent results. Analyze and refine this prompt: 'Summarize this article.'"

Tips & gotchas

The skill’s effectiveness depends on the quality of the initial prompt; a poorly structured or vague starting point may limit its ability to generate significant improvements. Consider providing context alongside your prompts for better optimization.