pearlthoughts/codecompass · Archived

extract-requirements

Use this when user needs to document business requirements from undocumented legacy code.

First seen Feb 11, 2026

Installation

$ npx skills add pearlthoughts/codecompass --skill extract-requirements

Summary

  • Use this when user needs to document business requirements from undocumented legacy code.
  • Provides systematic 6-phase extraction: automated analysis, validation rules, use cases, business rules, data models, and workflow mapping.
  • Apply for legacy system documentation, migration planning, compliance audits, or M&A due diligence

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Repository health

Stars 1
License LICENSE
Default branch main
Open issues 0
Status Archived

Skill metadata

Parsed from SKILL.md frontmatter.

Version1.0.0

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 9,964 B
  • docs SUMMARY.md 356 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 9 installs

SKILL.md

Extract Requirements Workflow

Purpose

Systematic process for extracting business requirements from undocumented or poorly documented codebases.

When to Use

  • ✅ Legacy system with no documentation
  • ✅ Planning migration (need requirements baseline)
  • ✅ M&A due diligence (understand acquired system)
  • ✅ Compliance audit (document what system does)
  • ✅ Knowledge transfer (developers leaving)

Prerequisites

Codebase Indexed

codecompass batch:index <path>

Infrastructure Running

codecompass health

Extraction Workflow

Phase 1: Automated Extraction

Step 1.1: Run Requirements Extractor

codecompass requirements:extract --project-id <id> --output requirements.md

What this extracts:

  1. Validation Rules → Business constraints
  2. Controller Actions → Use cases
  3. Database Constraints → Data integrity rules
  4. RBAC/Authorization → Access requirements
  5. Business Logic → Domain rules

Step 1.2: Review Output Check generated requirements.md:

  • Completeness (coverage of major features)
  • Accuracy (rules match actual behavior)
  • Gaps (missing business logic)

Phase 2: Validation Rule Analysis

From Models/Entities:

// Yii2 Model example
public function rules() {
  return [
    [['email', 'password'], 'required'],
    ['email', 'email'],
    ['password', 'string', 'min' => 8],
    ['age', 'integer', 'min' => 18],
  ];
}

Extracted Requirements:

### User Registration Requirements
- REQ-001: Email address is mandatory
- REQ-002: Email must be valid format
- REQ-003: Password is mandatory
- REQ-004: Password minimum length: 8 characters
- REQ-005: User must be at least 18 years old

Phase 3: Use Case Extraction

From Controllers:

// Controller actions → Use cases
public function actionCreate() {
  // Use Case: Create New Order
}

public function actionApprove($id) {
  // Use Case: Approve Order (with authorization check)
}

public function actionCancel($id) {
  // Use Case: Cancel Order (business rules apply)
}

Extracted Use Cases:

## Order Management Use Cases

### UC-001: Create New Order
**Actor**: Customer
**Preconditions**: User authenticated
**Steps**:
1. User selects products
2. System validates inventory
3. User provides shipping address
4. System calculates total
5. Order created in pending status

### UC-002: Approve Order
**Actor**: Manager
**Preconditions**:
- Order in pending status
- User has 'manager' role
**Steps**:
1. Manager reviews order details
2. System validates business rules
3. Order status changed to approved
4. Notification sent to customer

Phase 4: Business Rule Discovery

Semantic Search for Rules:

codecompass search:semantic "business validation rules for order approval"
codecompass search:semantic "conditions for discount calculation"
codecompass search:semantic "authorization checks for admin actions"

Common Patterns to Find:

  1. Conditional Logic → Business rules
  2. Status Transitions → Workflow states
  3. Calculations → Business formulas
  4. Validations → Constraints
  5. Authorization Checks → Access rules

Phase 5: Data Model Requirements

From Database Schema:

CREATE TABLE orders (
  id INT PRIMARY KEY,
  status ENUM('pending', 'approved', 'shipped', 'cancelled'),
  total DECIMAL(10,2) NOT NULL CHECK (total >= 0),
  customer_id INT NOT NULL FOREIGN KEY REFERENCES customers(id),
  created_at TIMESTAMP DEFAULT CURRENT_TIMESTAMP
);

Extracted Requirements:

### Data Requirements
- REQ-010: Order must have unique identifier
- REQ-011: Order status: pending, approved, shipped, or cancelled
- REQ-012: Order total must be non-negative
- REQ-013: Order must be associated with a customer
- REQ-014: Order creation timestamp must be recorded

Phase 6: Workflow Mapping

Identify State Machines:

Order Status Flow:
pending → approved → shipped → delivered
         ↓
         cancelled

Extract Transitions:

### Order Workflow
**States**: pending, approved, shipped, cancelled, delivered

**Transitions**:
- pending → approved (requires: manager approval)
- approved → shipped (requires: items in stock)
- shipped → delivered (requires: delivery confirmation)
- pending|approved → cancelled (requires: cancellation reason)

**Business Rules**:
- Cannot cancel after shipped
- Cannot approve if out of stock
- Refund required if cancelled after payment

Extraction Techniques

Technique 1: Code Reading Patterns

Look for:

  • if statements → Business conditions
  • switch/case → State transitions
  • Loops → Bulk operations
  • Exceptions → Error handling requirements
  • Comments → Intent (when present)

Technique 2: Test Analysis

Tests reveal:

  • Expected behavior (what should happen)
  • Edge cases (what shouldn't happen)
  • Valid input ranges
  • Error scenarios
codecompass search:semantic "test cases for order validation"

Technique 3: Configuration Analysis

Config files contain:

  • Feature flags → Optional requirements
  • Limits/thresholds → Business constraints
  • Integration settings → External dependencies

Technique 4: Semantic Clustering

Find related code:

# Find all code related to "discount calculation"
codecompass search:semantic "discount calculation logic"

# Find all code related to "inventory management"
codecompass search:semantic "inventory stock management"

Group results by business capability

Output Formats

Format 1: Requirements Document (Markdown)

# Business Requirements - [System Name]

## Functional Requirements

### FR-001: User Authentication
**Priority**: High
**Description**: System must authenticate users via email and password
**Acceptance Criteria**:
- Email validation follows RFC 5322
- Password minimum 8 characters
- Account locked after 5 failed attempts
**Source**: UserController::actionLogin(), User::validatePassword()

### FR-002: Order Approval Workflow
...

Format 2: Capability Map (Structured)

{
  "capabilities": {
    "user_management": {
      "features": ["register", "login", "reset_password"],
      "rules": ["email_unique", "password_complexity"],
      "roles": ["user", "admin"]
    },
    "order_processing": {
      "features": ["create", "approve", "cancel", "ship"],
      "rules": ["approval_required", "inventory_check"],
      "workflow": "pending→approved→shipped→delivered"
    }
  }
}

Format 3: Use Case Catalog

| UC ID | Use Case Name | Actor | Complexity |
|-------|---------------|-------|------------|
| UC-001 | Create Order | Customer | Medium |
| UC-002 | Approve Order | Manager | Low |
| UC-003 | Cancel Order | Customer/Manager | High |

Validation Steps

Step 1: Cross-Check with Tests

Compare extracted requirements with test cases:

  • Tests validate requirements
  • Missing tests → Undocumented behavior
  • Failing tests → Requirements changed

Step 2: Semantic Verification

# For each requirement, verify in code
codecompass search:semantic "password must be at least 8 characters"

Should find validator implementation

Step 3: Interview Stakeholders (if available)

  • Validate extracted requirements
  • Fill gaps in documentation
  • Clarify ambiguous logic

Step 4: Traceability Matrix

Map requirements to code:

| Requirement | Source Files | Tests |
|-------------|--------------|-------|
| REQ-001 | User.php:45, UserController.php:102 | UserTest.php:23 |
| REQ-002 | Order.php:78 | OrderTest.php:56 |

Common Patterns

Pattern 1: Implicit Requirements

Code:

if ($order->total < 1000) {
  // No approval needed
}

Requirement:

REQ: Orders under $1000 do not require manager approval

Pattern 2: Embedded Business Logic

Code:

$discount = ($customer->vip) ? 0.20 : 0.10;

Requirement:

REQ: VIP customers receive 20% discount, regular customers 10%

Pattern 3: Temporal Constraints

Code:

if (strtotime($order->created_at) > strtotime('-30 days')) {
  // Can cancel
}

Requirement:

REQ: Orders can only be cancelled within 30 days of creation

Best Practices

✅ Do

  • Extract from multiple sources (code, tests, configs)
  • Use semantic search for concept discovery
  • Validate with tests
  • Document sources for traceability
  • Prioritize by business impact
  • Include non-functional requirements (performance, security)

❌ Don't

  • Rely solely on comments (often outdated)
  • Assume standard behavior without verification
  • Skip edge cases
  • Ignore error handling logic
  • Document technical implementation instead of business requirements

Related Skills

  • 0-discover-capabilities.md - Find relevant modules
  • semantic-search.md - Search for business logic
  • analyze-yii2-project.md - Framework-specific extraction

Related Modules

From .ai/capabilities.json:

  • requirements - RequirementsExtractionService
  • business-analyzer - CapabilityCatalogService
  • search - Semantic code search
  • analyzers - Code analysis for extraction

Remember: Requirements are what the system must do, not how it does it. Focus on business value, not technical implementation.