design

Design and deploy schema-driven data collections with validation and approval.

Updated Jul 23, 2026
One-click install
npx skills add https://github.com/platyplus/cairn-plugin --skill design-platyplus
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design
Source: https://github.com/platyplus/cairn-plugin/tree/main/cairn/skills/design
Command: npx skills add https://github.com/platyplus/cairn-plugin --skill design-platyplus

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the friction of setting up data tracking systems by transforming vague user requirements into fully validated, schema-driven collections without manual database configuration.

Core Features & Use Cases

  • Automated Schema Design: Converts natural language descriptions into data and UI schemas, including complex skip-logic and decision trees.
  • Safety-First Implementation: Uses a strict dry-run and preview process to ensure collections meet user needs before any data is written.
  • Use Case: A field team needs to track facility surveys with specific GPS and bed-count requirements; this skill drafts the form, validates the logic, and builds the collection only after the user approves the preview.

Quick Start

Use the design skill to create a new collection for tracking facility surveys including name, type, GPS location, and number of beds.

Frequently Asked Questions about design

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I turn natural language project ideas into structured data collections?

Automated schema design converts natural language descriptions into structured data collections by drafting data and UI schemas, including complex skip-logic and decision trees, without manual database configuration.

What's the best way to design schema-driven forms with skip-logic validation?

Designing schema-driven forms with skip-logic validation is best handled by converting tracking requirements into data and UI schemas, followed by iterative previewing and dry-run validation of records before deployment.

How do I set up a multi-collection project architecture with integrated permissions?

Set up multi-collection project architectures by defining tracking requirements, which generates integrated permission management and skip-logic validation across collections after explicit user confirmation.

Can I preview a data collection schema before writing any records?

Yes, you can preview data collection schemas before writing records. The safety-first implementation uses a strict dry-run and preview process to validate that collections meet tracking requirements before executing write operations.

Do I need to manually configure databases to track facility surveys with GPS data?

No, manual database configuration is not needed. The skill drafts forms, validates logic, and builds the data collection for facility surveys with specific GPS and bed-count requirements only after user approval.