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Andrew Yim a3ff965b87 Add SEO skills 19-28, 31-32 with full Python implementations

12 new skills: Keyword Strategy, SERP Analysis, Position Tracking,
Link Building, Content Strategy, E-Commerce SEO, KPI Framework,
International SEO, AI Visibility, Knowledge Graph, Competitor Intel,
and Crawl Budget. ~20K lines of Python across 25 domain scripts.
Updated skill 11 pipeline table and repo CLAUDE.md.
Enhanced skill 18 local SEO workflow from jamie.clinic audit.

Note: Skill 26 hreflang_validator.py pending (content filter block).

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>

2026-02-13 12:05:59 +09:00

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CLAUDE.md

Overview

Knowledge Graph and Entity SEO tool for analyzing brand entity presence in Google Knowledge Graph, Knowledge Panels, People Also Ask (PAA), and FAQ rich results. Checks entity attribute completeness, Wikipedia/Wikidata presence, and Korean equivalents (Naver knowledge iN, Naver encyclopedia). Uses WebSearch and WebFetch for data collection, Ahrefs serp-overview for SERP feature detection.

Quick Start

pip install -r scripts/requirements.txt

# Knowledge Graph analysis
python scripts/knowledge_graph_analyzer.py --entity "Samsung Electronics" --json

# Entity SEO audit
python scripts/entity_auditor.py --url https://example.com --entity "Brand Name" --json

Scripts

Script	Purpose	Key Output
`knowledge_graph_analyzer.py`	Analyze Knowledge Panel and entity presence	KP detection, entity attributes, Wikipedia/Wikidata status
`entity_auditor.py`	Audit entity SEO signals and PAA/FAQ presence	PAA monitoring, FAQ schema tracking, entity completeness
`base_client.py`	Shared utilities	RateLimiter, ConfigManager, BaseAsyncClient

Knowledge Graph Analyzer

# Analyze entity in Knowledge Graph
python scripts/knowledge_graph_analyzer.py --entity "Samsung Electronics" --json

# Check with Korean name
python scripts/knowledge_graph_analyzer.py --entity "삼성전자" --language ko --json

# Include Wikipedia/Wikidata check
python scripts/knowledge_graph_analyzer.py --entity "Samsung" --wiki --json

Capabilities:

Knowledge Panel detection via Google search
Entity attribute extraction (name, description, logo, type, social profiles, website)
Entity attribute completeness scoring
Wikipedia article presence check
Wikidata entity presence check (QID lookup)
Naver encyclopedia (네이버 백과사전) presence
Naver knowledge iN (지식iN) presence
Knowledge Panel comparison with competitors

Entity Auditor

# Full entity SEO audit
python scripts/entity_auditor.py --url https://example.com --entity "Brand Name" --json

# PAA monitoring for brand keywords
python scripts/entity_auditor.py --url https://example.com --entity "Brand Name" --paa --json

# FAQ rich result tracking
python scripts/entity_auditor.py --url https://example.com --entity "Brand Name" --faq --json

Capabilities:

People Also Ask (PAA) monitoring for brand-related queries
FAQ schema presence tracking (FAQPage schema -> SERP appearance)
Entity markup audit (Organization, Person, LocalBusiness schema on website)
Social profile linking validation (sameAs in schema)
Brand SERP analysis (what appears when you search the brand name)
Entity consistency across web properties
Korean entity optimization (Korean Knowledge Panel, Naver profiles)

Data Sources

Source	Purpose
WebSearch	Search for entity/brand to detect Knowledge Panel
WebFetch	Fetch Wikipedia, Wikidata, Naver pages
Ahrefs `serp-overview`	SERP feature detection for entity keywords

Output Format

{
  "entity": "Samsung Electronics",
  "knowledge_panel": {
    "detected": true,
    "attributes": {
      "name": "Samsung Electronics",
      "type": "Corporation",
      "description": "...",
      "logo": true,
      "website": true,
      "social_profiles": ["twitter", "facebook", "linkedin"]
    },
    "completeness_score": 85
  },
  "wikipedia": {"present": true, "url": "..."},
  "wikidata": {"present": true, "qid": "Q20710"},
  "naver_encyclopedia": {"present": true, "url": "..."},
  "naver_knowledge_in": {"present": true, "entries": 15},
  "paa_questions": [...],
  "faq_rich_results": [...],
  "entity_schema_on_site": {
    "organization": true,
    "same_as_links": 5,
    "completeness": 78
  },
  "score": 75,
  "timestamp": "2025-01-01T00:00:00"
}

Notion Output (Required)

IMPORTANT: All audit reports MUST be saved to the OurDigital SEO Audit Log database.

Database Configuration

Field	Value
Database ID	`2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
URL	https://www.notion.so/dintelligence/2c8581e58a1e8035880be38cefc2f3ef

Required Properties

Property	Type	Description
Issue	Title	Report title (Korean + date)
Site	URL	Entity website URL
Category	Select	Knowledge Graph & Entity SEO
Priority	Select	Based on entity completeness
Found Date	Date	Audit date (YYYY-MM-DD)
Audit ID	Rich Text	Format: KG-YYYYMMDD-NNN

Language Guidelines

Report content in Korean (한국어)
Keep technical English terms as-is (e.g., Knowledge Panel, Knowledge Graph, PAA)
URLs and code remain unchanged

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