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Form style

Skill jeremylongshore/claude-code-plugins-plus-skills/plugins/ai-agency/tonone/skills/form-style

425 plugins, 2,810 skills, 200 agents for Claude Code. Open-source marketplace at tonsofskills.com with the ccpi CLI package manager.

Install
npx -y skills add jeremylongshore/claude-code-plugins-plus-skills --skill form-style

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

What its author says it does

Copied from the file, not written here

Use when asked to select a UI style, choose a design direction, pick a visual approach for a product, or match a style to an industry. Examples: "what style fits a fintech app", "choose between neumorphism and glassmorphism", "design direction for healthcare SaaS"

The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.

SKILL.md

2.7 KB, as published. Nobody here has run it

form-style — UI Style Selection

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

Product needs a visual direction. Industry or product type is known or discoverable from context.

Workflow

  1. Identify product type from user request or project context
  2. Search product reasoning:
    python3 -m form_agent.uiux search --domain product --query "{product_type}" --limit 3
    
  3. Get recommended style details:
    python3 -m form_agent.uiux search --domain style --query "{recommended_style}" --limit 3
    
  4. Cross-reference anti-patterns from the product search results — check the Anti_Patterns field
  5. Output the recommendation using the format below

Output format

┌─ Style Recommendation ─────────────────────┐
│ Product:     {product_type}                 │
│ Style:       {primary_style}                │
│ Fallback:    {secondary_style}              │
├─ Effects ───────────────────────────────────┤
│ {key_effects from style search}             │
├─ Anti-patterns ─────────────────────────────┤
│ ✗ {anti_pattern_1}                          │
│ ✗ {anti_pattern_2}                          │
├─ Implementation Checklist ──────────────────┤
│ □ {checklist_item_1}                        │
│ □ {checklist_item_2}                        │
└─────────────────────────────────────────────┘

Anti-patterns

  • Never pick style based on aesthetics alone — match to product type + audience
  • Never ignore anti-pattern list from reasoning rules
  • Never recommend more than 2 combined styles (primary + fallback)
  • Never recommend a style marked as incompatible with the target framework

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.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.