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Micro Saas Launcher

Listed
sickn33·vlatest·other·MIT

This tool rapidly launches minimal viable SaaS products, streamlining development and testing for early-stage entrepreneurs & startups.

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 sickn33/agentic-awesome-skills --skill micro-saas-launcher -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

sickn33

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 sickn33/antigravity-awesome-skills at 5a4cdd9df8.

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

Scanned
0 files
Copies in repo
3 — 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

The micro-saas-launcher skill helps users generate ideas and outlines for launching a minimal viable product (MVP) SaaS. It can suggest niche markets, identify potential revenue models, and create basic feature lists to get started with a small software business. This skill is designed to accelerate the initial stages of SaaS development, from concept to planning.

When to use it

  • You have an idea for a software product but need help validating its market viability.
  • You want to quickly brainstorm potential revenue models (subscription, freemium, etc.).
  • You're looking for niche markets that are underserved by existing SaaS solutions.
  • You need assistance in outlining the core features required for an MVP.

Key capabilities

  • Niche market suggestion
  • Revenue model identification
  • MVP feature list generation
  • SaaS idea validation

Example prompts

  • "Suggest a niche market for a productivity SaaS."
  • "What are some potential revenue models for a tool that helps small businesses manage their social media?"
  • "Generate an MVP feature list for a simple invoicing software."

Tips & gotchas

The skill’s output is intended as a starting point; further research and validation of the suggested ideas are crucial before committing to development. It's best used in conjunction with market analysis tools and user feedback gathering.