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Prototype Prompt Generator

Checked
cexll·vlatest·ai-ml·AGPL-3.0

This tool rapidly creates diverse prompt prototypes for various AI models, accelerating experimentation and refining your desired outputs efficiently.

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 stellarlinkco/myclaude --skill prototype-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

cexll

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 cexll/myclaude at f2e75c1263.

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

Commit
f2e75c1263
Manifest
skills/prototype-prompt-generator/SKILL.md
Scanned
3 files, 1,367 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

Prototype Prompt Generator

What it does

This tool helps you craft structured, high-quality prompts for AI agents by providing a template-based framework. It transforms vague ideas into detailed instructions that guide the agent to produce consistent and accurate results.

When to use it

  • You need to test an AI agent's capabilities before writing complex production workflows.
  • You want to standardize prompt formats across different team members or projects.
  • You are struggling to get reliable outputs because your initial prompts lack necessary context or constraints.
  • You need a quick way to iterate on prompt engineering strategies without deep technical knowledge.

Key capabilities

  • Generates structured prompt templates based on user input.
  • Organizes instructions into clear sections for better agent comprehension.
  • Helps define specific roles, tasks, and output formats within prompts.
  • Facilitates rapid prototyping of AI interactions.

Example prompts

  • "Generate a prototype prompt for an AI agent that summarizes long articles into bullet points."
  • "Create a structured prompt template for an agent that debugs Python code errors."
  • "Help me draft a prompt where the AI acts as a junior developer reviewing pull requests."

Tips & gotchas

  • Start with simple scenarios to understand how the generator structures your requirements before moving to complex tasks.
  • Review the generated output and refine it manually if specific nuances are missing, as templates may not cover every edge case.