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Andrew Yim 6ac547e78f
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refactor(skills): clean skill names (strip NN- prefix from name:) — convention change
Adopt: directory keeps its NN- ordering prefix; skill `name:` is the clean form
without it (dir 16-seo-schema-validator → name: seo-schema-validator). Nicer to
invoke, matches the original desktop/SKILL.md names, still globally unique.

- 71 root SKILL.md: name: NN-foo → name: foo (flat skills + reference-curator suite).
  Plugins (mac-optimizer/multi-agent-guide/dintel-bootstrap) already clean; 95 already clean.
- scripts/migrate_skill_root.py: derive name = dirname minus NN- prefix (skill_name()).
- CLAUDE.md + SKILL-MIGRATION-GUIDE.md: document the dir-prefix / clean-name convention.

verify_skills.py: 0 name collisions across all renamed skills. (The ~/.claude/skills
symlinks were re-pointed to the clean names separately — filesystem only.)

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-28 02:11:01 +09:00

2.9 KiB

name, description
name description
seo-comprehensive-audit 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. Triggers: comprehensive SEO, full SEO audit, 종합 SEO 감사, site audit, SEO health check.

Comprehensive SEO Audit

Purpose

Orchestrate a full-spectrum SEO audit by running 6 specialized analyses and synthesizing results into a unified health score and actionable report.

Pipeline Stages

# Stage Source Skill Default
1 Technical SEO 12-seo-technical-audit Always
2 On-Page SEO 13-seo-on-page-audit Always
3 Core Web Vitals 14-seo-core-web-vitals Always
4 Schema Validation 16-seo-schema-validator Always
5 Local SEO 18-seo-local-audit Skippable
6 Search Console 15-seo-search-console Skippable

Workflow

1. Initialization

  1. Receive target URL from user
  2. Confirm which stages to run (all 6 by default)
  3. Set up audit tracking ID: COMP-YYYYMMDD-NNN

2. Execute Stages (Sequential)

For each active stage:

  1. Run the sub-skill analysis
  2. Collect JSON results
  3. Extract score and issues

3. Synthesis

  1. Compute weighted health score (0-100)
  2. Assign grade (A/B+/B/C/D/F)
  3. Prioritize critical and high-severity findings
  4. Generate recommendations

4. Notion Report

  1. Create summary page: 종합 SEO 감사 보고서 - [domain] - YYYY-MM-DD
  2. Create individual pages for Critical/High findings
  3. Database: 2c8581e5-8a1e-8035-880b-e38cefc2f3ef

Health Score Weights

Category Weight
Technical SEO 20%
On-Page SEO 20%
Core Web Vitals 25%
Schema 15%
Local SEO 10%
Search Console 10%

Skipped stages redistribute weight proportionally.

Output Format

## 종합 SEO 감사 보고서: [domain]

**Health Score**: [score]/100 ([grade])
**Date**: YYYY-MM-DD
**Audit ID**: COMP-YYYYMMDD-NNN

### Stage Results
| Stage | Score | Issues |
|-------|-------|--------|
| Technical SEO | XX/100 | N issues |
| On-Page SEO | XX/100 | N issues |
| Core Web Vitals | XX/100 | N issues |
| Schema | XX/100 | N issues |
| Local SEO | XX/100 | N issues |
| Search Console | XX/100 | N issues |

### Critical Findings
1. [Finding with recommendation]

### Recommendations (Priority Order)
1. [Action item]

MCP Tool Usage

Firecrawl

mcp__firecrawl__scrape: Fetch page content for on-page and schema analysis

Notion

mcp__notion__*: Create audit report pages in SEO database

Perplexity

mcp__perplexity__search: Research best practices for recommendations

Limitations

  • Local SEO stage requires manual input for NAP/GBP data
  • Search Console stage requires GSC API credentials
  • Health score accuracy improves when all 6 stages are active