Run the additive migration pass from SKILL-MIGRATION-GUIDE: generate a root SKILL.md for every skill that lacked one, copied from its desktop/SKILL.md (or code/SKILL.md), with name set to the directory name and description + body preserved verbatim. - scripts/migrate_skill_root.py: the reusable, non-destructive migrator (dry-run default). - 61 new root SKILL.md (desktop source for most; code/SKILL.md for 61/62/92). - Untouched: 16/17/95 (already had root); desktop/ and code/ packaging left intact. - All 64 root SKILL.md validate: frontmatter <=1024, kebab name, description present. Still MANUAL (no SKILL.md source — commands/README only), need hand-authored root SKILL.md: 81-mac-optimizer, 90-reference-curator, 91-multi-agent-guide, 94-dintel-bootstrap. Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
110 lines
2.9 KiB
Markdown
110 lines
2.9 KiB
Markdown
---
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name: 11-seo-comprehensive-audit
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description: |
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Comprehensive SEO audit orchestrator. Runs 6-stage audit pipeline (Technical, On-Page, CWV, Schema, Local, GSC) and produces a unified report with weighted health score.
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Triggers: comprehensive SEO, full SEO audit, 종합 SEO 감사, site audit, SEO health check.
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---
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# Comprehensive SEO Audit
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## Purpose
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Orchestrate a full-spectrum SEO audit by running 6 specialized analyses and synthesizing results into a unified health score and actionable report.
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## Pipeline Stages
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| # | Stage | Source Skill | Default |
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|---|-------|-------------|---------|
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| 1 | Technical SEO | 12-seo-technical-audit | Always |
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| 2 | On-Page SEO | 13-seo-on-page-audit | Always |
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| 3 | Core Web Vitals | 14-seo-core-web-vitals | Always |
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| 4 | Schema Validation | 16-seo-schema-validator | Always |
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| 5 | Local SEO | 18-seo-local-audit | Skippable |
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| 6 | Search Console | 15-seo-search-console | Skippable |
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## Workflow
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### 1. Initialization
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1. Receive target URL from user
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2. Confirm which stages to run (all 6 by default)
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3. Set up audit tracking ID: `COMP-YYYYMMDD-NNN`
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### 2. Execute Stages (Sequential)
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For each active stage:
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1. Run the sub-skill analysis
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2. Collect JSON results
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3. Extract score and issues
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### 3. Synthesis
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1. Compute weighted health score (0-100)
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2. Assign grade (A/B+/B/C/D/F)
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3. Prioritize critical and high-severity findings
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4. Generate recommendations
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### 4. Notion Report
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1. Create summary page: `종합 SEO 감사 보고서 - [domain] - YYYY-MM-DD`
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2. Create individual pages for Critical/High findings
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3. Database: `2c8581e5-8a1e-8035-880b-e38cefc2f3ef`
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## Health Score Weights
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| Category | Weight |
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|----------|--------|
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| Technical SEO | 20% |
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| On-Page SEO | 20% |
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| Core Web Vitals | 25% |
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| Schema | 15% |
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| Local SEO | 10% |
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| Search Console | 10% |
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Skipped stages redistribute weight proportionally.
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## Output Format
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```markdown
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## 종합 SEO 감사 보고서: [domain]
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**Health Score**: [score]/100 ([grade])
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**Date**: YYYY-MM-DD
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**Audit ID**: COMP-YYYYMMDD-NNN
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### Stage Results
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| Stage | Score | Issues |
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|-------|-------|--------|
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| Technical SEO | XX/100 | N issues |
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| On-Page SEO | XX/100 | N issues |
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| Core Web Vitals | XX/100 | N issues |
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| Schema | XX/100 | N issues |
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| Local SEO | XX/100 | N issues |
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| Search Console | XX/100 | N issues |
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### Critical Findings
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1. [Finding with recommendation]
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### Recommendations (Priority Order)
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1. [Action item]
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```
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## MCP Tool Usage
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### Firecrawl
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```
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mcp__firecrawl__scrape: Fetch page content for on-page and schema analysis
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```
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### Notion
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```
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mcp__notion__*: Create audit report pages in SEO database
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```
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### Perplexity
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```
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mcp__perplexity__search: Research best practices for recommendations
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```
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## Limitations
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- Local SEO stage requires manual input for NAP/GBP data
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- Search Console stage requires GSC API credentials
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- Health score accuracy improves when all 6 stages are active
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