| name | architectural-analysis |
| description | Deep architectural audit focused on finding dead code, duplicated functionality, architectural anti-patterns, type confusion, and code smells. Use when user asks for architectural analysis, find dead code, identify duplication, or assess codebase health. Don't use for style/formatting issues, performance profiling, security audits, or feature-level code review. |
| metadata | {"author":"Pedro Nauck","github":"https://github.com/pedronauck","repository":"https://github.com/pedronauck/skills"} |
Architectural Analysis
Instructions
Perform comprehensive architectural audit focused on structural issues, dead code, duplication, and systemic problems.
Phase 1: Discovery & Planning
Step 1: Map Codebase Structure
find . -type d -not -path "*/node_modules/*" -not -path "*/.git/*"
find . -name "*.ts" -o -name "*.tsx" -o -name "*.js" -o -name "*.jsx" | wc -l
Step 2: Identify Entry Points
- Main application entry (
index.ts, main.ts, app.ts)
- API routes/controllers
- Public exports (
index.ts files)
- CLI entry points
- Test files
Step 3: Create Comprehensive File List
Use Glob to find all source files.
Create todo list with one item per file to analyze.
Phase 2: Dead Code Detection
For EACH file in the todo list:
Step 1: Identify Exports
- What does this file export?
- Are exports functions, classes, types, constants?
- Is anything exported at all?
Step 2: Search for Usage
For each export, search if it's imported/used anywhere:
grep -r "import.*ExportName" . --include="*.ts" --include="*.tsx"
grep -r "from.*filename" . --include="*.ts" --include="*.tsx"
grep -r "ExportName" . --include="*.ts" --include="*.tsx"
Step 3: Categorize Code
Dead Code (mark for removal):
- Exported but never imported
- Functions defined but never called
- Classes instantiated nowhere
- Types defined but never used
- Constants defined but never referenced
- Entire files with no imports from other files
Possibly Dead (needs verification):
- Only used in commented-out code
- Only used in dead code
- Only used in other unused exports
- Used only in tests for deprecated features
Internal Dead Code:
- Functions defined in file but never called (not exported)
- Variables assigned but never read
- Parameters accepted but never used
Step 4: Check for False Positives
Not dead if:
- Used in tests (may be public API)
- Dynamically imported/required
- Used via reflection/string references
- Part of public API (even if not used internally)
- Framework hooks (lifecycle methods, callbacks)
- Accessed via
window or global scope
Step 5: Record Findings
File: path/to/file.ts
Status: [DEAD|POSSIBLY_DEAD|USED]
Exports: [list]
Dead Exports:
- ExportName - No imports found
- AnotherExport - Only used in test for deprecated feature
Confidence: [HIGH|MEDIUM|LOW]
Step 6: Mark Complete
Update todo list.
Phase 3: Duplication Detection
Step 1: Identify Duplicated Logic Patterns
Search for common patterns that suggest duplication:
- Similar function names across files
- Repeated code blocks
- Multiple implementations of same concept
Manual Pattern Recognition:
- Read files in same directory
- Look for suspiciously similar code
- Compare utilities/helpers across modules
- Check for copy-pasted blocks
Grep-Based Detection:
grep -r "function validateEmail" . --include="*.ts"
grep -r "async.*fetch.*api" . --include="*.ts"
grep -r "export.*UserForm" . --include="*.tsx"
Step 2: Analyze Duplicated Functionality
For each potential duplication:
- Read both/all implementations
- Are they actually the same logic?
- Do they handle same cases?
- Could one replace the other?
- Are differences intentional or accidental?
Step 3: Categorize Duplication
Exact Duplication (CRITICAL):
- Identical or near-identical code in multiple places
- Copy-pasted functions
- Duplicated utility functions
- Impact: Bug fixes need multiple updates, maintenance burden
Similar Logic (HIGH):
- Same algorithm, different implementation
- Slightly different parameter handling
- Different names, same purpose
- Impact: Inconsistency risk, harder to maintain
Conceptual Duplication (MEDIUM):
- Multiple ways to do the same thing
- Competing implementations
- Overlapping utilities
- Impact: Confusion, decision paralysis
Type Duplication (HIGH):
- Same interface/type defined multiple times
- Similar types that should be unified
- Duplicate constants/enums
- Impact: Type inconsistency, refactoring difficulty
Step 4: Record Duplication
Duplication Group: Email Validation
Type: Exact Duplication
Instances:
- src/utils/validators.ts:42 - validateEmail()
- src/lib/email.ts:15 - isValidEmail()
- src/components/forms/validation.ts:67 - checkEmailFormat()
Analysis: All three implement same regex check
Recommendation: Keep utils/validators.ts version, remove others
Impact: 3 places to update when logic changes
Phase 4: Architectural Anti-Patterns
Step 1: Identify God Objects/Classes
Search for files that do too much:
- Files over 500 lines
- Classes with 10+ methods
- Files with many responsibilities
- Modules that import from everywhere
find . -name "*.ts" -exec wc -l {} + | sort -rn | head -20
Analyze large files:
- What does this file do?
- Does it have single responsibility?
- Should it be split?
Step 2: Detect Circular Dependencies
Look for:
- File A imports from B, B imports from A
- Circular chains: A → B → C → A
- Module coupling cycles
Use grep to trace import chains:
grep "^import.*from" src/services/auth.ts
grep -r "from.*auth" src/ --include="*.ts"
Step 3: Find Tight Coupling
Identify:
- High-level modules depending on low-level modules
- Business logic depending on infrastructure
- Core logic depending on framework specifics
- Modules that import from many other modules
Step 4: Spot Layer Violations
Check architecture layers:
- Do components import directly from database layer?
- Do models import from views?
- Do utilities import from business logic?
- Is there proper separation of concerns?
Step 5: Identify Other Anti-Patterns
Singleton Abuse:
- Global state everywhere
- Module-level mutable state
- Static class methods accessing shared state
Anemic Domain Models:
- Data classes with no behavior
- All logic in services, models just have getters/setters
Shotgun Surgery:
- Single feature change requires touching many files
- Indicates poor cohesion
Feature Envy:
- Methods that use more data from other classes than their own
Phase 5: Type Issues Analysis
Step 1: Find Type Abuse
Search for problematic type usage:
grep -r ": any" . --include="*.ts" --include="*.tsx" -n
grep -r ": unknown" . --include="*.ts" -n
grep -r "as any" . --include="*.ts" -n
grep -r "as unknown" . --include="*.ts" -n
grep -r "@ts-ignore" . --include="*.ts" -n
grep -r "@ts-expect-error" . --include="*.ts" -n
Step 2: Analyze Type Confusion
For each file with type issues:
- Why is
any used?
- Could proper type be defined?
- Is type assertion hiding a real type error?
- Are @ts-ignore comments masking actual problems?
Step 3: Find Type Duplication
Look for:
- Same interface defined in multiple files
- Similar types that could be unified
- Types that could extend from common base
- Constants/enums duplicated across files
Step 4: Identify Missing Types
Check for:
- Implicit
any from missing type annotations
- Functions without return type
- Callbacks without proper typing
- Generic types that should be specific
Phase 6: Code Smells Detection
Step 1: Long Methods/Functions
Flag functions over 50 lines - likely doing too much.
Step 2: Long Parameter Lists
Search for functions with 4+ parameters:
- Could use object parameter instead?
- Are parameters related (should be grouped)?
Step 3: Complex Conditionals
Look for:
- Deeply nested if statements (3+ levels)
- Long boolean expressions
- Switch statements with 10+ cases
- Complex ternary operators
Step 4: Magic Numbers/Strings
Search for:
- Hardcoded numbers with unclear meaning
- String literals used repeatedly
- Unexplained constants
Should be named constants.
Step 5: Commented-Out Code
grep -r "^[[:space:]]*//.*function\|class\|const" . --include="*.ts"
Commented code should be deleted (use git history).
Step 6: Poor Naming
Look for:
- Single letter variables (outside loops)
- Abbreviations without context (
usr, msg, tmp)
- Misleading names
- Names that don't reflect purpose
Phase 7: Generate Report
Read assets/report-template.md and write the populated report to .audits/architectural-analysis-[timestamp].md. Replace every placeholder (X, Y, Z, file paths, line numbers) with findings from Phases 2-6. Keep every section present even if a finding count is zero — note "None found" rather than deleting headings.
Phase 8: Summary for User
Read assets/summary-template.md and emit the populated summary inline in chat after writing the full report. Replace placeholders and link to the full report at the end.
Critical Principles
- NEVER EDIT FILES - This is analysis only, not cleanup
- NEVER SKIP FILES - Analyze entire codebase systematically
- BE THOROUGH - Dead code detection requires checking all imports
- VERIFY DUPLICATES - Don't just match names, check if logic is same
- UNDERSTAND ARCHITECTURE - See the big picture, not just individual files
- QUANTIFY IMPACT - Count lines, estimate cleanup potential
- BE CONFIDENT - Mark confidence level (HIGH/MEDIUM/LOW) for findings
- TRACK PROGRESS - Use todo list for file-by-file analysis
Success Criteria
A complete architectural analysis includes:
- All files analyzed for dead code
- All exports checked for usage
- Duplication groups identified and cataloged
- Architectural anti-patterns found and explained
- Type issues located and categorized
- Code smells flagged
- Impact assessment quantified
- Structured report generated