Task(description: "[Audit/Create] via ln-6XX",
     prompt: "Execute {skill-name}. Read skill from {skill-name}/SKILL.md. Pattern: {pattern}",
     subagent_type: "general-purpose")

1. Load docs/project/patterns_catalog.md
   IF missing → create from shared/templates/patterns_template.md

2. Load docs/reference/adrs/*.md → link patterns to ADRs
   Load docs/reference/guides/*.md → link patterns to Guides

3. Auto-detect undocumented patterns
   Use patterns from common_patterns.md "Pattern Detection" table
   IF found but not in catalog → add as "Undocumented"

FOR EACH pattern WHERE last_audit > 30 days OR never:

  # MCP Ref + Context7 + WebSearch
  ref_search_documentation("{pattern} best practices {tech_stack}")
  IF pattern.library: query-docs(library_id, "{pattern}")
  WebSearch("{pattern} implementation best practices 2026")

  → Store: contextStore.bestPractices[pattern]

Task(ln-642-layer-boundary-auditor)
  Input: architecture_path, codebase_root, skip_violations
  Output: violations[], coverage{}

# Apply deductions to affected patterns (per scoring_rules.md)
FOR EACH violation IN violations:
  affected_pattern = match_violation_to_pattern(violation)
  affected_pattern.issues.append(violation)
  affected_pattern.compliance_deduction += get_deduction(violation)

# Analyze individual patterns
FOR EACH pattern IN catalog:
  Task(ln-641-pattern-analyzer)
    Input: pattern, locations, adr_reference, bestPractices
    Output: scores{}, issues[], gaps{}

# Analyze API contracts (always, in parallel with patterns)
Task(ln-643-api-contract-auditor)
  Input: pattern="API Contracts", locations=[service_dirs, api_dirs], bestPractices
  Output: scores{}, issues[], gaps{}

  **Worker Output Contract:**
  - ln-641 returns: `{overall_score: X.X, scores: {compliance, completeness, quality, implementation}, issues: [], gaps: {}}`
  - ln-642 returns: `{category, score, total_issues, critical, high, medium, low, findings: []}`
  - ln-643 returns: `{overall_score: X.X, scores: {compliance, completeness, quality, implementation}, issues: [], gaps: {}}`

  # Merge layer violations from Phase 3
  pattern.issues += layer_violations.filter(v => v.pattern == pattern)
  pattern.scores.compliance -= compliance_deduction
  pattern.scores.quality -= quality_deduction

gaps = {
  undocumentedPatterns: found in code but not in catalog,
  implementationGaps: ADR decisions not implemented,
  layerViolations: code in wrong architectural layers,
  consistencyIssues: conflicting patterns
}

refactorItems = patterns WHERE any_score < 70%

IF refactorItems.length > 0:
  # Auto-detect Epic (Architecture/Refactoring/Technical Debt)
  targetEpic = find_epic(["Architecture", "Refactoring", "Technical Debt"])
  IF not found → AskUserQuestion

  FOR EACH pattern IN refactorItems:
    Task(ln-220-story-coordinator)
      Create Story with AC from issues list
      MANDATORY AC: Zero Legacy principle

# Step 1: Get all worker scores (0-10 scale)
pattern_scores = [p.overall_score for p in ln641_results]  # Each 0-10
layer_score = ln642_result.score                            # 0-10
api_score = ln643_result.overall_score                      # 0-10

# Step 2: Calculate architecture_health_score
all_scores = pattern_scores + [layer_score, api_score]
architecture_health_score = round(average(all_scores) * 10)  # 0-100 scale

# Status mapping:
# >= 80: "healthy"
# 70-79: "warning"
# < 70: "critical"

1. Update patterns_catalog.md:
   - Pattern scores, dates, Story links
   - Layer Boundary Status section
   - Quick Wins section
   - Patterns Requiring Attention section

2. Calculate trend: compare current vs previous scores

3. Output summary (see Return Result below)

{
  "audit_date": "2026-02-04",
  "architecture_health_score": 78,
  "trend": "improving",
  "patterns_analyzed": 5,
  "layer_audit": {
    "architecture_type": "Layered",
    "violations_total": 5,
    "violations_by_severity": {"high": 2, "medium": 3, "low": 0},
    "coverage": {"http_abstraction": 85, "error_centralization": true}
  },
  "patterns": [
    {
      "name": "Job Processing",
      "scores": {"compliance": 72, "completeness": 85, "quality": 68, "implementation": 90},
      "avg_score": 79,
      "status": "warning",
      "issues_count": 3,
      "story_created": "LIN-123"
    }
  ],
  "quick_wins": [
    {"pattern": "Caching", "issue": "Add TTL config", "effort": "2h", "impact": "+10 completeness"}
  ],
  "requires_attention": [
    {"pattern": "Event-Driven", "avg_score": 58, "critical_issues": ["No DLQ", "No schema versioning"]}
  ],
  "stories_created": ["LIN-123", "LIN-124"]
}