tech-leads-club/component-identification-sizing
Maps architectural components in a codebase and measures their size to identify what should be extracted first. Use when asking "how big is each module?", "what components do I have?", "which service is too large?", "analyze codebase structure", "size my monolith", or planning where to start decomposing. Do NOT use for runtime performance sizing or infrastructure capacity planning.
This is a copy. The original lives at christophacham/component-identification-sizing.
npx skills add https://github.com/tech-leads-club/agent-skills --skill component-identification-sizing
This skill identifies architectural components (logical building blocks) in a codebase and calculates size metrics to assess decomposition feasibility and identify oversized components.
Request analysis of your codebase:
Example 1: Complete Analysis
User: "Identify and size all components in this codebase"
The skill will:
1. Map directory/namespace structures
2. Identify all components (leaf nodes)
3. Calculate size metrics (statements, files, percentages)
4. Generate component inventory table
5. Flag oversized/undersized components
6. Provide recommendations
Example 2: Find Oversized Components
User: "Which components are too large?"
The skill will:
1. Calculate mean and standard deviation
2. Identify components >2 std dev or >10% threshold
3. Analyze functional areas within large components
4. Suggest specific splits with estimated sizes
Example 3: Component Size Analysis
User: "Analyze component sizes and distribution"
The skill will:
1. Calculate all size metrics
2. Generate size distribution summary
3. Identify outliers
4. Provide statistics and recommendations
Apply this skill when:
A component is an architectural building block that:
Key Rule: Components are identified by leaf nodes in directory/namespace structures. If a namespace is extended (e.g., services/billing extended to services/billing/payment), the parent becomes a subdomain, not a component.
Statements (not lines of code):
Component Size Indicators:
Scan the codebase directory structure:
services/, routes/, models/, utils/com.company.domain.service)app/billing/payment)services/BillingService/ is a componentservices/BillingService/payment/ extends it, making BillingService a subdomainFor each component:
.js, .ts, .java, .py, etc.) component_percent = (component_statements / total_statements) * 100
total_statements / number_of_componentssqrt(sum((size - mean)^2) / (n - 1))(component_size - mean) / std_devOversized Components (candidates for splitting):
Undersized Components (candidates for consolidation):
Well-Sized Components:
## Component Inventory
| Component Name | Namespace/Path | Statements | Files | Percent | Status |
| --------------- | ---------------------------- | ---------- | ----- | ------- | ------------ |
| Billing Payment | services/BillingService | 4,312 | 23 | 5% | ✅ OK |
| Reporting | services/ReportingService | 27,765 | 162 | 33% | ⚠️ Too Large |
| Notification | services/NotificationService | 1,433 | 7 | 2% | ✅ OK |
Status Legend:
## Size Analysis Summary
**Total Components**: 18
**Total Statements**: 82,931
**Mean Component Size**: 4,607 statements
**Standard Deviation**: 5,234 statements
**Oversized Components** (>2 std dev or >10%):
- Reporting (33% - 27,765 statements) - Consider splitting into:
- Ticket Reports
- Expert Reports
- Financial Reports
**Well-Sized Components** (within 1-2 std dev):
- Billing Payment (5%)
- Customer Profile (5%)
- Ticket Assignment (9%)
**Undersized Components** (<1 std dev):
- Login (2% - 1,865 statements) - Consider consolidating with Authentication
## Component Size Distribution
Component Size Distribution (by percent of codebase)
[Visual representation or histogram if possible]
Largest: ████████████████████████████████████ 33% (Reporting)
████████ 9% (Ticket Assign)
██████ 8% (Ticket)
██████ 6% (Expert Profile)
█████ 5% (Billing Payment)
████ 4% (Billing History)
...
### Recommendations
Reporting Component (33% of codebase):
Login Component (2% of codebase):
Most components are appropriately sized. Continue monitoring during decomposition.
## Analysis Checklist
**Component Identification**:
- [ ] Mapped all directory/namespace structures
- [ ] Identified leaf nodes (components) vs parent nodes (subdomains)
- [ ] Created complete component inventory
- [ ] Documented namespace/path for each component
**Size Calculation**:
- [ ] Counted statements (not lines) for each component
- [ ] Counted source files (excluding tests/configs)
- [ ] Calculated percentage of total codebase
- [ ] Calculated mean and standard deviation
**Size Assessment**:
- [ ] Identified oversized components (>threshold or >2 std dev)
- [ ] Identified undersized components (<1% or <1 std dev)
- [ ] Flagged components for splitting or consolidation
- [ ] Documented size distribution
**Recommendations**:
- [ ] Suggested splits for oversized components
- [ ] Suggested consolidations for undersized components
- [ ] Prioritized recommendations by impact
- [ ] Created architecture stories for refactoring
## Implementation Notes
### For Node.js/Express Applications
Components typically found in:
- `services/` - Business logic components
- `routes/` - API endpoint components
- `models/` - Data model components
- `utils/` - Utility components
- `middleware/` - Middleware components
**Example Component Identification**:
services/
├── BillingService/ ← Component (leaf node)
│ ├── index.js
│ └── BillingService.js
├── CustomerService/ ← Component (leaf node)
│ └── CustomerService.js
└── NotificationService/ ← Component (leaf node)
└── NotificationService.js
### For Java Applications
Components identified by package structure:
- `com.company.domain.service` - Service components
- `com.company.domain.model` - Model components
- `com.company.domain.repository` - Repository components
**Example Component Identification**:
com.company.billing.payment ← Component (leaf package)
com.company.billing.history ← Component (leaf package)
com.company.billing ← Subdomain (parent of payment/history)
### Statement Counting
**JavaScript/TypeScript**:
- Count statements terminated by `;` or newline
- Include: assignments, function calls, returns, conditionals, loops
- Exclude: comments, blank lines, declarations without assignment
**Java**:
- Count statements terminated by `;`
- Include: method calls, assignments, returns, conditionals
- Exclude: class/interface declarations, comments, blank lines
**Python**:
- Count executable statements (not comments or blank lines)
- Include: assignments, function calls, returns, conditionals
- Exclude: docstrings, comments, blank lines
## Fitness Functions
After identifying and sizing components, create automated checks:
### Component Size Threshold
// Alert if any component exceeds 10% of codebase
function checkComponentSize(components, threshold = 0.1) {
const totalStatements = components.reduce((sum, c) => sum + c.statements, 0)
return components
.filter((c) => c.statements / totalStatements > threshold)
.map((c) => ({
component: c.name,
percent: ((c.statements / totalStatements) * 100).toFixed(1),
issue: 'Exceeds size threshold',
}))
}
### Standard Deviation Check
// Alert if component is >2 standard deviations from mean
function checkStandardDeviation(components) {
const sizes = components.map((c) => c.statements)
const mean = sizes.reduce((a, b) => a + b, 0) / sizes.length
const stdDev = Math.sqrt(sizes.reduce((sum, size) => sum + Math.pow(size - mean, 2), 0) / (sizes.length - 1))
return components
.filter((c) => Math.abs(c.statements - mean) > 2 * stdDev)
.map((c) => ({
component: c.name,
deviation: ((c.statements - mean) / stdDev).toFixed(2),
issue: 'More than 2 standard deviations from mean',
}))
}
## Best Practices
### Do's ✅
- Use statements, not lines of code
- Identify components as leaf nodes only
- Calculate both percentage and standard deviation
- Consider application size when setting thresholds
- Document namespace/path for each component
- Create visual size distribution if possible
### Don'ts ❌
- Don't count test files in component size
- Don't treat parent directories as components
- Don't use fixed thresholds without considering app size
- Don't ignore small components (may need consolidation)
- Don't skip standard deviation calculation
- Don't mix infrastructure and domain components in same analysis
## Next Steps
After completing component identification and sizing:
1. **Apply Gather Common Domain Components Pattern** - Identify duplicate functionality
2. **Apply Flatten Components Pattern** - Remove orphaned classes from root namespaces
3. **Apply Determine Component Dependencies Pattern** - Analyze coupling between components
4. **Create Component Domains** - Group components into logical domains
## Notes
- Component size thresholds vary by application size
- Small apps (<10 components): 30% threshold may be appropriate
- Large apps (>20 components): 10% threshold is more appropriate
- Standard deviation is more reliable than fixed percentages
- Well-sized components are 1-2 standard deviations from mean
- Oversized components often contain multiple functional areas that can be split
Take tech-leads-club/component-identification-sizing from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
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same name cannot sit side by side — one of them will be ignored.