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$4.99 · Sans inscriptionv1.0.0– vues

App Builder

Décrivez l'application, recevez un produit fonctionnel que vous pouvez lancer.

Transforme une spécification produit en langage clair en une application fonctionnelle et testée, prête à déployer — avec des tests d'acceptation humains à chaque étape.

Aperçu de App Builder
Idéal pour
Non-développeurs avec une idée, indépendants du numérique
Temps nécessaire
~1 heure pour une première version
Niveau
Accessible aux débutants

Installez-la en 3 étapes

Sans inscription. Sans outils en ligne de commande. Choisissez votre IA, copiez une ligne, collez-la.

Pro — les 511 compétences

Vous préférez le faire vous-même ? Achetez la compétence ($4.99), téléchargez le ZIP depuis votre confirmation d'achat, décompressez-le dans le répertoire indiqué ci-dessus, redémarrez votre session IA — même résultat. Vous l'avez déjà achetée ? Votre assistant IA peut la télécharger pour vous.

Preuves concrètes

Des personnes réelles ont accompli exactement ce travail avec des agents IA.

Contenu du pack

Un fichier SKILL.md (le guide pratique) + un modèle de départ. Aperçu :

App Builder

When to use

  • You have a concrete app idea (a booking flow, a tracker, a micro-SaaS) and want a working product without writing code
  • A non-technical founder needs to get a real app in front of users this week
  • You want to prototype a SaaS fast and validate demand before hiring engineers
  • A small business needs an internal tool (appointment booking, health trackers) built this week
  • You've been burned by AI-generated code before and want a spec-driven process with checklist acceptance

Workflow

  1. Write the spec (input: your idea → output: product spec)
    Describe what the app does, who it's for, the core flows, and the tech stack if you care. One real case went from a micro-SaaS idea to a shipped email-to-calendar product in three hours — powered almost entirely by a good launch prompt.
  2. Review the build plan (input: spec → output: implementation checklist)
    Have the agent turn the spec into a step-by-step plan, then get a second opinion on the plan — another AI or your own eyes — before any building starts. Bad plan, bad app; catch it here while it's cheap.
  3. Build in modules (input: plan → output: working modules)
    The agent builds module by module against the checklist. Keep each feature small enough to test before moving on. If the scope starts ballooning, stop and re-cut the spec instead of letting it drift.
  4. Test with fake data (input: modules → output: passing end-to-end run)
    Run the full flows with placeholder accounts and sample data. Real user data never enters the test environment — in one real case (a clinic app built by a non-coder in five days) patient data was kept out of testing entirely.
  5. Acceptance and security review (input: working app → output: signed checklist)
    Walk the acceptance checklist item by item: core flows work, tenant data is isolated, secrets live in environment variables not code, no production database is connected to dev. Multi-tenant builds need explicit isolation checks — agents don't reliably find these holes on their own.
  6. Deploy and launch (input: approved app → output: live app)
    Deploy the approved app. Anything that spends money (domains, payment keys) or touches production needs explicit human approval first. Deploying is the last step, not the first.

Output spec

  • Product spec (plain markdown), build-plan checklist, working app, acceptance checklist with sign-offs, launch notes
  • Test report: what was tested, with what sample data, what passed
  • Security notes: where secrets live, what isolation was verified, any compliance flags
  • Companion template.md skeleton — fill in the blanks and use it

Good vs. bad examples

Aperçu du modèle

App Builder — Build Runbook Template

One app = one runbook. Work through it top to bottom; nothing launches until every checklist is signed.

1. Product spec — {app name}

What it does (one line): {…} Who it's for: {…} Core flows: {e.g. pick doctor → pick slot → confirm; staff day view} Nice-to-haves (v2, not now): {…} Tech stack: {agent's choice / your preference: …} Integrations needed: {e.g. Google OAuth, Mailgun, Stripe}

2. Build plan review

Second opinion on the plan: {who/what reviewed it} — [ ] approved to build

3. Build & test log

End-to-end run: [ ] all core flows pass with sample data only

Le pack de compétence lui-même (SKILL.md + modèle) est rédigé en anglais.

Pro — les 511 compétences

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