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.