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No-Code App Spec Builder
Generates comprehensive build-ready specifications including screen lists and user roles.
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See it in action
You say
Create a no-code app spec for a gym member portal. Members need to book classes, admins manage schedules, and trainers see attendance. Include a database schema and automation map.
Your agent does
Gym Member Portal Spec
Target Users
- Member: Book classes, view schedule.
- Trainer: View attendance, mark check-ins.
- Admin: Manage classes, trainers, and billing.
Database Tables
- Members: Name, Email, Membership_Status.
- Classes: Title, Time, Trainer_ID, Capacity.
- Bookings: Member_ID, Class_ID, Status.
Automations
- Trigger: New Booking. Action: Update Class capacity, Email confirmation.
- Trigger: Class full. Action: Disable booking button.
What you get
About this skill
The problem
Translating a business idea into a functional app often leads to scope creep, messy databases, and developer confusion. Without a clear technical specification, no-code projects stall or require expensive rebuilds due to ignored edge cases and poorly defined workflows.
What it does
- Generates comprehensive build-ready specifications including screen lists and user roles.
- Architects plain-language database schemas and table relationships.
- Maps step-by-step user flows, automation triggers, and integration logic.
- Audits existing app briefs to identify gaps in permissions, privacy, or logic.
- Defines a phased MVP roadmap to prevent over-engineering.
Frameworks & tools
Optimized for Bubble, Glide, Softr, Airtable, AppSheet, Retool, FlutterFlow, Notion, Make, and Zapier.
Why this beats prompting it yourself
General prompts often miss the "boring" but critical parts of development like admin dashboards, error handling, and permission logic. This skill follows a structured engineering workflow to ensure no-code builders have every field, trigger, and screen defined before the first click.
Use cases
- Create a detailed developer brief for a client portal or booking system.
- Audit a startup idea to identify technical risks and data privacy requirements.
- Map out complex internal automation workflows between SaaS tools.
- Structure a database for a multi-user marketplace or directory.
Known limitations
Does not provide production code or direct API deployments. Technical feasibility and compliance must be verified by a qualified reviewer.
How to install
Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.
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