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Intelligent Prompt Generator

Checked
huangserva·vlatest·ai-ml

This skill automatically crafts optimized prompts for various AI models, boosting your creativity and efficiency in generating desired outputs.

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 huangserva/skill-prompt-generator --skill intelligent-prompt-generator -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

huangserva

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 huangserva/skill-prompt-generator at e951249840.

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

Commit
e951249840
Manifest
.codex/skills/intelligent-prompt-generator/SKILL.md
Scanned
2 files, 2,500 lines
Copies in repo
2 — all of them scanned
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 acts as an intelligent prompt generator, transforming basic user ideas into refined, high-quality instructions for AI agents. It streamlines the workflow by automating the complex task of crafting effective prompts to ensure better agent performance.

When to use it

  • You have a vague concept but lack the technical vocabulary to describe it clearly to an AI.
  • You need to standardize prompt structures across multiple tasks or projects.
  • You want to save time by avoiding manual iteration on prompt wording.
  • You are building complex agent workflows and need precise input parameters.

Key capabilities

  • Converts raw user inputs into structured, optimized prompts.
  • Enhances clarity and specificity in agent instructions.
  • Reduces the cognitive load required for prompt engineering.

Example prompts

  • "Generate a detailed system prompt for an AI agent that acts as a senior Python developer."
  • "Create a prompt to help an agent summarize long technical documents into bullet points."
  • "Draft a prompt instructing an agent to debug code errors based on provided logs."

Tips & gotchas

Ensure you provide the core intent or goal clearly, even if your initial description is brief. While this skill optimizes wording, complex logic may still require manual review of the generated output before deployment.