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Get Started Free →Scaffolds new feature modules in DevPrep AI following the 6-folder architecture with proper TypeScript interfaces, path aliases, and quality standards. Use when creating new domains like 'analytics', 'notifications', or any new feature module.
.claude/skills/aiskillstore-module-scaffolder/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -2% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 63% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -25% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 81% | 0% |
Automate creation of feature modules with proper structure, boilerplate files, and enforced quality standards.
Auto-triggered by keywords:
bash# Create new module ./.claude/skills/module-scaffolder/scripts/create-module.sh <module-name> # Add component to module ./.claude/skills/module-scaffolder/scripts/add-component.sh <module-name> <ComponentName> # Validate module ./.claude/skills/module-scaffolder/scripts/validate-module.sh <module-name>
modules/<module-name>/
├── components/
│ ├── ExampleCard.tsx # Starter component (rename/delete)
│ └── index.ts # Barrel exports
├── hooks/
│ └── index.ts
├── utils/
│ └── index.ts
└── types.ts # Module-specific typesAll generated files automatically follow DevPrep AI quality standards.
Example: Create analytics module
bash# 1. Scaffold ./scripts/create-module.sh analytics # 2. Add components as needed ./scripts/add-component.sh analytics AnalyticsChart ./scripts/add-component.sh analytics AnalyticsSummary # 3. Validate ./scripts/validate-module.sh analytics
What happens:
bash./scripts/add-component.sh <module-name> <ComponentName>
Result:
index.ts) automatically updatedbash./scripts/validate-module.sh <module-name>
Checks:
any typesBefore scaffolding: Use brainstorming skill to plan module design
After scaffolding:
trpc-scaffolder to create API endpointsquality-reviewer to review code qualityDetailed references available in references/:
6-folder-architecture.md - Where modules fit, structure rulesnaming-conventions.md - I prefix, PascalCase, camelCase rulespath-aliases.md - Import patterns, @shared, @lib usagequality-checklist.md - Complete quality standardsExamples: See examples/complete-module/ for fully structured reference module
Module name: Use lowercase-with-hyphens (analytics, user-profile)
Component name: Use PascalCase (AnalyticsChart, UserCard)
Path errors: Ensure running from project root or use absolute paths
All templates in templates/ directory are automatically used by scripts. Modify templates to customize generated code patterns.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 88,307 | 53,529 | -39% | 1 | 1 | 0% | 2,318 | 2,996 | +29% | 0 | 0 | — |
case-02 | fail→pass | 46,167 | 31,323 | -32% | 1 | 1 | 0% | 3,055 | 2,986 | -2% | 0 | 0 | — |
case-03 | fail→pass | 12,630 | 43,546 | +245% | 1 | 1 | 0% | 1,092 | 1,777 | +63% | 0 | 0 | — |
case-04 | pass→pass | 31,703 | 24,349 | -23% | 1 | 1 | 0% | 1,826 | 1,561 | -15% | 0 | 0 | — |
case-05 | pass→pass | 24,546 | 24,106 | -2% | 1 | 1 | 0% | 1,668 | 1,611 | -3% | 0 | 0 | — |
case-06 | fail→pass | 16,615 | 9,530 | -43% | 1 | 1 | 0% | 2,080 | 1,552 | -25% | 0 | 0 | — |
case-07 | fail→pass | 9,974 | 8,733 | -12% | 1 | 1 | 0% | 614 | 1,114 | +81% | 0 | 0 | — |
case-08 | pass→pass | 15,504 | 10,830 | -30% | 1 | 1 | 0% | 1,499 | 1,220 | -19% | 0 | 0 | — |
case-09 | fail→pass | 16,539 | 8,997 | -46% | 1 | 1 | 0% | 1,325 | 1,343 | +1% | 0 | 0 | — |
case-10 | fail→pass | 15,932 | 6,533 | -59% | 1 | 1 | 0% | 1,521 | 1,050 | -31% | 0 | 0 | — |
case-11 | fail→pass | 5,263 | 3,140 | -40% | 1 | 1 | 0% | 752 | 1,229 | +63% | 0 | 0 | — |
case-12 | fail→pass | 11,023 | 8,193 | -26% | 1 | 1 | 0% | 952 | 1,085 | +14% | 0 | 0 | — |
case-13 | fail→pass | 11,504 | 3,647 | -68% | 1 | 1 | 0% | 1,715 | 1,149 | -33% | 0 | 0 | — |
case-14 | fail→pass | 15,039 | 4,899 | -67% | 1 | 1 | 0% | 1,486 | 1,515 | +2% | 0 | 0 | — |
case-15 | fail→pass | 11,644 | 8,011 | -31% | 1 | 1 | 0% | 959 | 1,239 | +29% | 0 | 0 | — |
case-16 | fail→pass | 21,584 | 9,078 | -58% | 1 | 1 | 0% | 2,828 | 1,044 | -63% | 0 | 0 | — |
case-17 | fail→pass | 14,644 | 2,409 | -84% | 1 | 1 | 0% | 1,323 | 1,142 | -14% | 0 | 0 | — |
case-18 | fail→pass | 12,956 | 4,301 | -67% | 1 | 1 | 0% | 2,106 | 1,387 | -34% | 0 | 0 | — |
case-19 | pass→pass | 16,906 | 9,719 | -43% | 1 | 1 | 0% | 2,025 | 1,222 | -40% | 0 | 0 | — |
case-20 | pass→pass | 14,632 | 19,202 | +31% | 1 | 1 | 0% | 2,584 | 2,742 | +6% | 0 | 0 | — |
case-21 | fail→fail | 12,521 | 11,864 | -5% | 1 | 1 | 0% | 1,069 | 1,236 | +16% | 0 | 0 | — |
case-22 | pass→pass | 22,767 | 18,744 | -18% | 1 | 1 | 0% | 2,272 | 2,847 | +25% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +68 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.