Ship it for real

Skill lexthirteen-ai/founder-survival-kit/skills/ship-it-for-real

Claude skills for the hard parts of building, now that ai made the building easy

Install

npx -y skills add lexthirteen-ai/founder-survival-kit --skill ship-it-for-real

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

28 days oldThe repository was created 28 days ago. New is not bad, but a brand new repository carrying a familiar-sounding name is the shape a typosquat arrives in, and there has been no time for anyone else to find a problem with it.
0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Turns "it worked when I tried it" into a repeatable check that survives real users. Helps a founder write down the handful of things their app must always do, turn those into a simple test they can rerun after every change, and close the gap between a demo that works and a product that holds up on real, messy input. Use when an app or agent works in the demo but breaks on real users, when changes keep breaking things that used to work, or before relying on something in production. Builds a repeatable check, not a test suite.

SKILL.md

3.0 KB, as published. Nobody here has run it

Ship It For Real

An agent or app that works in the demo and falls apart on real users is the most common trap in building with ai. The cause is almost always the same: there is no repeatable way to check that it still works. This skill builds that check, at the smallest useful size.

When to use

Your app or agent works when you try it, then breaks when someone else does.
Every change seems to break something that used to work.
You are about to rely on this thing and want to know it will hold.

Process

List what must always be true. Write the handful of things the app or agent must do correctly, in plain sentences: "a user can sign up," "the agent answers X without inventing a number," "an order saves." Five to ten is plenty to start.
Add the ways real users break it. For each, note the messy real-world versions: empty input, weird phrasing, the wrong file, a slow network, someone clicking twice. Demos use clean input, users do not, and that gap is where it fails.
Turn the list into a rerunnable check. Make it something you can run in minutes after any change: a written checklist you actually walk through, or a simple automated test where it is worth it. The bar is repeatable and honest, not comprehensive.
Run it before and after changes. Especially before letting an ai make sweeping edits, and again after. When something breaks, you find out from the check, not from a user.
Grow it from real failures. Every time something breaks in the wild, add that case to the check so it can never quietly break the same way twice.

Output

A plain-language list of what the app must always do.
A rerunnable check (checklist or simple automated tests) covering those, including the messy-input versions.
A one-line habit for when to run it.

Guardrails

Smallest useful check first. Ten honest checks you will actually run beat a hundred you will not. Do not build a testing framework; build a habit.
Cover the real-input gap. The whole point is behavior on messy input, so weight the check toward that, not the happy path.
Repeatable over clever. A written checklist that gets run beats elegant tests that rot. Automate only where it clearly pays off.
Pair with a saved version. Combine with save-your-work so a failed check has a known-good state to return to.

Do save-your-work first. Feeds launch-that-converts, because a launch amplifies whatever is broken.