Fix SEO skill 34 bugs, Korean labels, and transition Ahrefs refs to our-seo-agent (#2)

custom-skills/34-seo-reporting-dashboard/code/CLAUDE.md

@@ -98,12 +98,14 @@ python scripts/executive_report.py --report aggregated_report.json --audience c-
 - Support for C-level, marketing team, and technical team audiences
 - Markdown output format
 
-## Ahrefs MCP Tools Used
+## Data Sources
 
-| Tool | Purpose |
-|------|---------|
-| `site-explorer-metrics` | Fresh current organic metrics snapshot |
-| `site-explorer-metrics-history` | Historical metrics for trend visualization |
+| Source | Purpose |
+|--------|---------|
+| `our-seo-agent` CLI | Primary data source (future); use `--input` flag to provide pre-fetched JSON |
+| `--output-dir` flag | Scan local JSON files from skills 11-33 |
+| WebSearch / WebFetch | Supplementary data for trend context |
+| Notion MCP | Query past audits from SEO Audit Log database |
 
 ## Output Format
 

custom-skills/34-seo-reporting-dashboard/code/scripts/base_client.py

@@ -20,8 +20,10 @@ from tenacity import (
     retry_if_exception_type,
 )
 
+# Load environment variables
 load_dotenv()
 
+# Logging setup
 logging.basicConfig(
     level=logging.INFO,
     format="%(asctime)s - %(levelname)s - %(message)s",
@@ -34,6 +36,13 @@ class RateLimiter:
     """Rate limiter using token bucket algorithm."""
 
     def __init__(self, rate: float, per: float = 1.0):
+        """
+        Initialize rate limiter.
+
+        Args:
+            rate: Number of requests allowed
+            per: Time period in seconds (default: 1 second)
+        """
         self.rate = rate
         self.per = per
         self.tokens = rate
@@ -41,6 +50,7 @@ class RateLimiter:
         self._lock = asyncio.Lock()
 
     async def acquire(self) -> None:
+        """Acquire a token, waiting if necessary."""
         async with self._lock:
             now = datetime.now()
             elapsed = (now - self.last_update).total_seconds()
@@ -64,6 +74,14 @@ class BaseAsyncClient:
         requests_per_second: float = 3.0,
         logger: logging.Logger | None = None,
     ):
+        """
+        Initialize base client.
+
+        Args:
+            max_concurrent: Maximum concurrent requests
+            requests_per_second: Rate limit
+            logger: Logger instance
+        """
         self.semaphore = Semaphore(max_concurrent)
         self.rate_limiter = RateLimiter(requests_per_second)
         self.logger = logger or logging.getLogger(self.__class__.__name__)
@@ -83,6 +101,7 @@ class BaseAsyncClient:
         self,
         coro: Callable[[], Any],
     ) -> Any:
+        """Execute a request with rate limiting and retry."""
         async with self.semaphore:
             await self.rate_limiter.acquire()
             self.stats["requests"] += 1
@@ -100,6 +119,7 @@ class BaseAsyncClient:
         requests: list[Callable[[], Any]],
         desc: str = "Processing",
     ) -> list[Any]:
+        """Execute multiple requests concurrently."""
         try:
             from tqdm.asyncio import tqdm
             has_tqdm = True
@@ -124,6 +144,7 @@ class BaseAsyncClient:
             return await asyncio.gather(*tasks, return_exceptions=True)
 
     def print_stats(self) -> None:
+        """Print request statistics."""
         self.logger.info("=" * 40)
         self.logger.info("Request Statistics:")
         self.logger.info(f"  Total Requests: {self.stats['requests']}")
@@ -140,6 +161,8 @@ class ConfigManager:
 
     @property
     def google_credentials_path(self) -> str | None:
+        """Get Google service account credentials path."""
+        # Prefer SEO-specific credentials, fallback to general credentials
         seo_creds = os.path.expanduser("~/.credential/ourdigital-seo-agent.json")
         if os.path.exists(seo_creds):
             return seo_creds
@@ -147,23 +170,38 @@ class ConfigManager:
 
     @property
     def pagespeed_api_key(self) -> str | None:
+        """Get PageSpeed Insights API key."""
         return os.getenv("PAGESPEED_API_KEY")
 
+    @property
+    def custom_search_api_key(self) -> str | None:
+        """Get Custom Search API key."""
+        return os.getenv("CUSTOM_SEARCH_API_KEY")
+
+    @property
+    def custom_search_engine_id(self) -> str | None:
+        """Get Custom Search Engine ID."""
+        return os.getenv("CUSTOM_SEARCH_ENGINE_ID")
+
     @property
     def notion_token(self) -> str | None:
+        """Get Notion API token."""
         return os.getenv("NOTION_TOKEN") or os.getenv("NOTION_API_KEY")
 
     def validate_google_credentials(self) -> bool:
+        """Validate Google credentials are configured."""
         creds_path = self.google_credentials_path
         if not creds_path:
             return False
         return os.path.exists(creds_path)
 
     def get_required(self, key: str) -> str:
+        """Get required environment variable or raise error."""
         value = os.getenv(key)
         if not value:
             raise ValueError(f"Missing required environment variable: {key}")
         return value
 
 
+# Singleton config instance
 config = ConfigManager()

custom-skills/34-seo-reporting-dashboard/code/scripts/dashboard_generator.py

@@ -453,11 +453,13 @@ CATEGORY_KOREAN_LABELS: dict[str, str] = {
     "competitor": "경쟁사",
     "schema": "스키마",
     "kpi": "KPI",
-    "search_console": "Search Console",
+    "comprehensive": "종합 감사",
+    "search_console": "서치 콘솔",
     "ecommerce": "이커머스",
     "international": "국제 SEO",
     "ai_search": "AI 검색",
     "entity_seo": "엔티티 SEO",
+    "migration": "사이트 이전",
 }
 
 

custom-skills/34-seo-reporting-dashboard/code/scripts/executive_report.py

@@ -123,11 +123,11 @@ CATEGORY_LABELS_KR = {
     "competitor": "경쟁 분석",
     "schema": "스키마/구조화 데이터",
     "kpi": "KPI 프레임워크",
-    "search_console": "Search Console",
+    "search_console": "서치 콘솔",
     "ecommerce": "이커머스 SEO",
     "international": "국제 SEO",
     "ai_search": "AI 검색 가시성",
-    "entity_seo": "Knowledge Graph",
+    "entity_seo": "지식 그래프",
 }
 
 # Common English issue descriptions -> Korean translations
@@ -434,11 +434,11 @@ class ExecutiveReportGenerator:
         grade_kr = HEALTH_LABELS_KR.get(grade, grade)
         trend_kr = TREND_LABELS_KR.get(summary.health_trend, summary.health_trend)
 
-        lines.append("## Health Score")
+        lines.append("## 종합 건강 점수")
         lines.append("")
         lines.append(f"| 지표 | 값 |")
         lines.append(f"|------|-----|")
-        lines.append(f"| Overall Score | **{summary.health_score}/100** |")
+        lines.append(f"| 종합 점수 | **{summary.health_score}/100** |")
         lines.append(f"| 등급 | {grade_kr} |")
         lines.append(f"| 추세 | {trend_kr} |")
         lines.append("")

custom-skills/34-seo-reporting-dashboard/code/scripts/report_aggregator.py

@@ -55,7 +55,7 @@ SKILL_REGISTRY = {
     28: {"name": "knowledge-graph", "category": "entity_seo", "weight": 0.10},
     31: {"name": "competitor-intel", "category": "competitor", "weight": 0.15},
     32: {"name": "crawl-budget", "category": "technical", "weight": 0.10},
-    33: {"name": "page-experience", "category": "performance", "weight": 0.10},
+    33: {"name": "migration-planner", "category": "migration", "weight": 0.10},
 }
 
 CATEGORY_WEIGHTS = {
@@ -69,6 +69,13 @@ CATEGORY_WEIGHTS = {
     "competitor": 0.05,
     "schema": 0.05,
     "kpi": 0.05,
+    "comprehensive": 1.0,
+    "search_console": 0.05,
+    "ecommerce": 0.05,
+    "international": 0.05,
+    "ai_search": 0.05,
+    "entity_seo": 0.05,
+    "migration": 0.05,
 }
 
 
@@ -255,14 +262,15 @@ class ReportAggregator(BaseAsyncClient):
 
         # Extract health score — check top-level first, then nested data dict
         score_found = False
-        for key in ("health_score", "overall_health", "score"):
+        for key in ("health_score", "overall_health", "overall_score", "score",
+                    "technical_score", "efficiency_score", "onpage_score"):
             if key in data:
                 try:
                     skill_output.health_score = float(data[key])
                     score_found = True
+                    break
                 except (ValueError, TypeError):
-                    pass
-                break
+                    continue
 
         if not score_found:
             nested = data.get("data", {})
@@ -276,9 +284,9 @@ class ReportAggregator(BaseAsyncClient):
                     if val is not None:
                         try:
                             skill_output.health_score = float(val)
+                            break
                         except (ValueError, TypeError):
-                            pass
-                        break
+                            continue
 
         # Extract audit date
         for key in ("audit_date", "report_date", "timestamp", "found_date"):

custom-skills/34-seo-reporting-dashboard/desktop/SKILL.md

@@ -20,10 +20,10 @@ Aggregate outputs from all SEO skills (11-33) into stakeholder-ready executive r
 
 ## MCP Tool Usage
 
-### Ahrefs for Fresh Data Pull
+### SEO Data
 ```
-mcp__ahrefs__site-explorer-metrics: Pull current organic metrics snapshot for dashboard
-mcp__ahrefs__site-explorer-metrics-history: Pull historical metrics for trend visualization
+our-seo-agent CLI: Primary data source (future); use --input for pre-fetched JSON
+WebSearch / WebFetch: Supplementary live data
 ```
 
 ### Notion for Reading Past Audits and Writing Reports
@@ -42,7 +42,7 @@ mcp__perplexity__*: Enrich reports with industry benchmarks and competitor conte
 ### Dashboard Generation
 1. Accept target domain and optional date range
 2. Query Notion SEO Audit Log for all past audit entries for the domain
-3. Optionally pull fresh metrics from Ahrefs (site-explorer-metrics, metrics-history)
+3. Optionally pull fresh metrics from our-seo-agent CLI or provide pre-fetched JSON via --input
 4. Normalize all skill outputs into unified format
 5. Compute cross-skill health score with weighted category dimensions
 6. Identify top issues (sorted by severity) and top wins across all audits