Works with the AI tools you already use
build with lovable
Architect, build, and test Lovable applications with structured workflows and four-layer quality verification.
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See it in action
You say
Review my current Lovable project and create a build plan for adding a subscription-based paywall using Stripe, including data models and UI states.
Your agent does
I've audited your project. I will define the Subscription entity, plan the Stripe webhook integration, and design the 'Trial', 'Active', and 'Past Due' UI states. I've prepared a 3-milestone plan starting with the frontend pricing component. Should I proceed with the data model?
What you get
About this skill
The problem
Moving from a product concept to a functional MVP often stalls due to vague requirements, architectural missteps, or inefficient prompting. Developers frequently waste time fixing UI regressions, debugging backend integrations, or manually testing responsive layouts across devices.
What it does
- Generates copy-ready, structured prompt packs that minimize generation errors and hallucinations in Lovable.
- Orchestrates browser-based implementation to build, inspect, and modify applications directly within the Lovable environment.
- Executes a four-layer testing protocol covering functional journeys, visual responsiveness, accessibility, and backend security.
- Audits project architecture to enforce data privacy, row-level security, and efficient integration patterns.
- Diagnoses and resolves deployment failures, API connection errors, and GitHub synchronization issues.
Frameworks & tools
Lovable, GitHub, Supabase, and REST/GraphQL APIs.
Why this beats prompting it yourself
Manual prompting often leads to bloated code and broken state management. This skill applies a systematic engineering workflow that verifies every milestone across four testing layers and enforces safety guardrails for credentials and production data that standard LLM chat interfaces ignore.
Use cases
- Convert a raw product brief into an ordered, multi-milestone build plan.
- Debug complex authentication flows or Supabase row-level security policies.
- Perform comprehensive UI audits for accessibility and mobile responsiveness.
- Prepare and verify production releases, including domain configuration and payment gateway testing.
Known limitations
Requires explicit user confirmation for destructive actions like production data migration or billing changes. Cannot bypass platform-level safety constraints or credential rotation requirements.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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