draft-patterns — UX Pattern Reference
SkillMediaUse when asked about UX patterns, interaction best practices, form design, navigation patterns, or loading states. Examples: "best practice for form validation", "navigation pattern for dashboard", "loading state UX"
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the draft-patterns — UX Pattern Reference skill
What this skill tells your AI
The instructions your AI receives, as published by tonone-ai/tonone in skills/draft-patterns/SKILL.md and read by ahel’s review.
Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.
When to use
User asks about interaction patterns, best practices, form design, navigation, or loading/empty states.
Workflow
- Identify pattern category from user request (forms, navigation, loading, empty states, modals, etc.)
- Search UX knowledge base:
python3 -m draft_agent.uiux search --domain ux --query "{pattern_category}" --limit 5 - Cross-reference severity ratings from results — surface Critical and High first
- Output structured do/don't table with code examples and severity
Output format
┌─ UX Patterns — {pattern_category} ──────────────────────────────────────────┐
│ Category │ Issue │ Do │ Don't │ Severity │
├─────────────┼────────────────────┼─────────────────────┼──────────┼──────────┤
│ {category} │ {issue} │ {do} │ {dont} │ Critical │
│ {category} │ {issue} │ {do} │ {dont} │ High │
│ {category} │ {issue} │ {do} │ {dont} │ Medium │
└─────────────┴────────────────────┴─────────────────────┴──────────┴──────────┘
Code example ({do_example_label}):
{code_block}
Anti-patterns
- Never recommend patterns without checking platform context (web vs. mobile vs. desktop)
- Never ignore severity ratings — Critical issues must be called out explicitly
- Never present more than 7 patterns per category without grouping
- Never omit code examples for implementation-level questions
Delivery
If output exceeds the 40-line CLI budget, invoke /atlas-report with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.
Signals
- GitHub stars
- 71
- Forks
- 9
- Last commit
- Aug 2026
Advanced
- Catalog kind
- skill
- Gateway key
draft-patterns- Source
- github.com/tonone-ai/tonone