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

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Andrew Yim
2026-02-14 01:09:35 +09:00
committed by GitHub
parent d2d0a2d460
commit a28bfbf847
34 changed files with 265 additions and 262 deletions

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@@ -2,7 +2,7 @@
## Overview
Keyword strategy and research tool for SEO campaigns. Expands seed keywords via Ahrefs APIs, classifies search intent, clusters topics, performs competitor keyword gap analysis, and supports Korean market keyword discovery including Naver autocomplete.
Keyword strategy and research tool for SEO campaigns. Expands seed keywords via our-seo-agent CLI or pre-fetched data, classifies search intent, clusters topics, performs competitor keyword gap analysis, and supports Korean market keyword discovery including Naver autocomplete.
## Quick Start
@@ -68,17 +68,13 @@ python scripts/keyword_gap_analyzer.py --target https://example.com --competitor
- Segment gaps by intent type
- Prioritize low-KD high-volume opportunities
## Ahrefs MCP Tools Used
## Data Sources
| Tool | Purpose |
|------|---------|
| `keywords-explorer-overview` | Get keyword metrics (volume, KD, CPC) |
| `keywords-explorer-matching-terms` | Find matching keyword variations |
| `keywords-explorer-related-terms` | Discover semantically related keywords |
| `keywords-explorer-search-suggestions` | Get autocomplete suggestions |
| `keywords-explorer-volume-by-country` | Compare volume across countries |
| `keywords-explorer-volume-history` | Track volume trends over time |
| `site-explorer-organic-keywords` | Get competitor keyword rankings |
| Source | Purpose |
|--------|---------|
| `our-seo-agent` CLI | Primary data source (future); use `--input` for pre-fetched JSON |
| WebSearch / WebFetch | Supplementary live data |
| Notion MCP | Save audit report to database |
## Output Format