content-quality-audito…
Use when auditing content quality, E-E-A-T, publish readiness, or 内容质量/EEAT评分. Runs 80-item CORE-EEAT scoring with veto checks…
Discover, analyze, and prioritize keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters and content calendars. Use when asked to "find keywords", "keyword
Claude Code
$ npx -y skills add ViryaZheng/recomby-geo --skill keyword-research --agent claude-code
Codex
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a codex -y
Cursor
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a cursor -y
Gemini CLI
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a gemini-cli -y
GitHub Copilot
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a github-copilot -y
OpenCode
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a opencode -y
Windsurf
$ npx skills add ViryaZheng/recomby-geo --skill keyword-research -a windsurf -y
name: keyword-research argument-hint: "<topic, niche, or seed keyword>" description: > Discover, analyze, and prioritize keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters and content calendars. Use when asked to "find keywords", "keyword research", "what should I write about", "keyword analysis", "find me topics to write", "search volume", "keyword difficulty", "content ideas", or any keyword discovery task.
Discovers, analyzes, and prioritizes keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance.
Use this when the conversation involves any of these situations — even if the user does not use SEO terminology:
Use this whenever the task needs reusable market intelligence that should influence strategy, not just an ad hoc answer.
1. **Keyword Discovery**: Generates comprehensive keyword lists from seed terms 2. **Intent Classification**: Categorizes keywords by user intent (informational, navigational, commercial, transactional) 3. **Difficulty Assessment**: Evaluates competition level and ranking difficulty 4. **Opportunity Scoring**: Prioritizes keywords by potential ROI 5. **Clustering**: Groups related keywords into topic clusters 6. **GEO Relevance**: Identifies keywords likely to trigger AI responses
Start with one of these prompts.
Research keywords for [topic/product/service]
Find keyword opportunities for a [industry] business targeting [audience]
Find low-competition keywords for [topic] with commercial intent
Identify question-based keywords for [topic] that AI systems might answer
What keywords is [competitor URL] ranking for that I should target?
> **Note:** All integrations are optional. This skill works without any API keys — users provide data manually when no tools are connected.
**With ~~SEO tool + ~~search console connected:** Automatically pull historical search volume data, keyword difficulty scores, SERP analysis, current rankings from ~~search console, and competitor keyword overlap. The skill will fetch seed keyword metrics, related keyword suggestions, and search trend data.
**With manual data only:** Ask the user to provide: 1. Seed keywords or topic description 2. Target audience and geographic location 3. Business goals (traffic, leads, sales) 4. Current domain authority (if known) or site age 5. Any known keyword performance data or search volume estimates
Proceed with the full analysis using provided data. Note in the output which metrics are from automated collection vs. user-provided data.
When a user requests keyword research:
1. **Understand the Context**
Ask clarifying questions if not provided:
2. **Generate Seed Keywords**
Start with:
3. **Expand Keyword List**
For each seed keyword, generate variations:
## Keyword Expansion Patterns ### Modifiers - Best [keyword] - Top [keyword] - [keyword] for [audience] - [keyword] near me - [keyword] [year] - How to [keyword] - What is [keyword] - [keyword] vs [alternative] - [keyword] examples - [keyword] tools ### Long-tail Variations - [keyword] for beginners - [keyword] for small business - Free [keyword] - [keyword] software/tool/service - [keyword] template - [keyword] checklist - [keyword] guide
4. **Classify Search Intent**
Categorize each keyword:
| Intent | Signals | Example | Content Type | |--------|---------|---------|--------------| | Informational | what, how, why, guide, learn | "what is SEO" | Blog posts, guides | | Navigational | brand names, specific sites | "google analytics login" | Homepage, product pages | | Commercial | best, review, vs, compare | "best SEO tools [current year]" | Comparison posts, reviews | | Transactional | buy, price, discount, order | "buy SEO software" | Product pages, pricing |
5. **Assess Keyword Difficulty**
Score each keyword (1-100 scale):
### Difficulty Factors **High Difficulty (70-100)** - Major brands ranking - High domain authority competitors - Established content (1000+ backlinks) - Paid ads dominating SERP **Medium Difficulty (40-69)** - Mix of authority and niche sites - Some opportunities for quality content - Moderate backlink requirements **Low Difficulty (1-39)** - Few authoritative competitors - Thin or outdated content ranking - Long-tail variations - New or emerging topics
6. **Calculate Opportunity Score**
Formula: `Opportunity = (Volume × Intent Value) / Difficulty`
**Intent Value** assigns a numeric weight by search intent:
### Opportunity Matrix | Scenario | Volume |
GEO 领域 AI 员工开源方案 · Open-source GEO AI-employee solution (MIT). GEO Skills package + curated lists of agents and office CLIs that make up the AI-employee stack.
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