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This skill should be used when the user asks to "find keywords", "keyword research", "what should I write about", "keyword difficulty score", "search volume...

开发与 DevOps

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v3.0.0

统计:⭐ 5 · 3.1k · 14 current installs · 14 all-time installs

5

安装量(当前) 14

🛡 VirusTotal :良性 · OpenClaw :良性

Package:aaron-he-zhu/keyword-research

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :良性

OpenClaw 评估

The skill is internally coherent for an SEO keyword-research assistant (Ahrefs is the primary integration) but has minor metadata/integration gaps you should be aware of before supplying credentials.

目的

The skill's name, description, and included reference materials are consistent with a keyword-research tool. The metadata designates AHREFS_API_KEY as the primary credential, which fits the stated Ahrefs integration. The SKILL.md also says it can work with SEMrush, Google Keyword Planner, and Google Search Console, but those additional connectors/credentials are not declared in requires.env. This is plausible (they may be optional or requested…

说明范围

The runtime instructions (SKILL.md) direct the agent to ask clarifying questions, accept manual data, and pull metrics when SEO tools / search console are 'connected.' There are no instructions that tell the agent to read arbitrary local files, secret stores, or system config. The skill does request network access implicitly to call external SEO APIs when available, which is expected for its purpose.

安装机制

This is an instruction-only skill with no install spec and no code files to execute. That minimizes on-disk installation risk.

证书

Only AHREFS_API_KEY is declared as the primary credential, which is reasonable for Ahrefs-backed workflows. However, the skill advertises support for SEMrush, Google Keyword Planner, and Google Search Console without declaring corresponding required environment variables. If you plan to use those integrations, the skill will likely request additional credentials at runtime or expect manual uploads — the metadata does not make that explicit.

持久

always:false (default) and there is no install behavior, so the skill does not request permanent presence or elevated platform privileges. The skill can be invoked autonomously by the agent (platform default), which is normal — note this only increases reach if you grant it credentials.

综合结论

This instruction-only SEO skill appears to do what it claims and uses Ahrefs as its primary integration. Before installing or enabling it: (1) only provide your AHREFS_API_KEY if you trust the author; (2) expect the skill to ask for or require additional credentials (SEMrush, Google Search Console, Google Keyword Planner) if you want those integrations — the registry metadata does not declare those env vars up front; (3) because the skill call…

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Keyword Research」。简介:This skill should be used when the user asks to "find keywords", "keyword resea…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/aaron-he-zhu/keyword-research/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
name: keyword-research
version: "3.0.0"
description: 'This skill should be used when the user asks to "find keywords", "keyword research", "what should I write about", "keyword difficulty score", "search volume data", "identify ranking opportunities", "topic ideas", "what are people searching for", "which keywords to target", "content ideas for [topic]", or "long-tail keyword suggestions". Discovers high-value keywords with search intent classification (informational/commercial/transactional/navigational), keyword difficulty (KD) scoring, monthly search volume (MSV), CPC estimates, and AI citation potential. Produces ranked keyword lists, topic clusters with pillar + cluster page assignments, and priority-scored content calendars. Works with Ahrefs, SEMrush, Google Keyword Planner, Google Search Console, or manual data input. For competitor keyword gaps, see competitor-analysis. For topic coverage gaps, see content-gap-analysis.'
license: Apache-2.0
compatibility: "Claude Code ≥1.0, skills.sh marketplace, ClawHub marketplace, Vercel Labs skills ecosystem. No system packages required. Optional: MCP network access for SEO tool integrations."
metadata:
  openclaw:
    requires:
      env: []
      bins: []
    primaryEnv: AHREFS_API_KEY
  author: aaron-he-zhu
  version: "3.0.0"
  geo-relevance: "medium"
  tags:
    - seo
    - geo
    - keywords
    - ahrefs
    - semrush
    - google-keyword-planner
    - kd-score
    - search-volume
    - cpc
    - topic-clusters
    - pillar-pages
    - long-tail-keywords
    - content-calendar
    - keyword-gap
    - search-intent-classification
  triggers:
    - "find keywords"
    - "keyword research"
    - "what should I write about"
    - "identify ranking opportunities"
    - "topic ideas"
    - "search volume"
    - "content opportunities"
    - "what are people searching for"
    - "which keywords should I target"
    - "give me keyword ideas"
---

# Keyword Research


> **[SEO & GEO Skills Library](https://skills.sh/aaron-he-zhu/seo-geo-claude-skills)** · 20 skills for SEO + GEO · Install all: `npx skills add aaron-he-zhu/seo-geo-claude-skills`

<details>
<summary>Browse all 20 skills</summary>

**Research** · **keyword-research** · [competitor-analysis](../competitor-analysis/) · [serp-analysis](../serp-analysis/) · [content-gap-analysis](../content-gap-analysis/)

**Build** · [seo-content-writer](../../build/seo-content-writer/) · [geo-content-optimizer](../../build/geo-content-optimizer/) · [meta-tags-optimizer](../../build/meta-tags-optimizer/) · [schema-markup-generator](../../build/schema-markup-generator/)

**Optimize** · [on-page-seo-auditor](../../optimize/on-page-seo-auditor/) · [technical-seo-checker](../../optimize/technical-seo-checker/) · [internal-linking-optimizer](../../optimize/internal-linking-optimizer/) · [content-refresher](../../optimize/content-refresher/)

**Monitor** · [rank-tracker](../../monitor/rank-tracker/) · [backlink-analyzer](../../monitor/backlink-analyzer/) · [performance-reporter](../../monitor/performance-reporter/) · [alert-manager](../../monitor/alert-manager/)

**Cross-cutting** · [content-quality-auditor](../../cross-cutting/content-quality-auditor/) · [domain-authority-auditor](../../cross-cutting/domain-authority-auditor/) · [entity-optimizer](../../cross-cutting/entity-optimizer/) · [memory-management](../../cross-cutting/memory-management/)

</details>

Discovers, analyzes, and prioritizes keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance.

## When to Use This Skill

- Starting a new content strategy or campaign
- Expanding into new topics or markets
- Finding keywords for a specific product or service
- Identifying long-tail keyword opportunities
- Understanding search intent for your industry
- Planning content calendars
- Researching keywords for GEO optimization

## What This Skill Does

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

## How to Use

### Basic Keyword Research

```
Research keywords for [topic/product/service]
```

```
Find keyword opportunities for a [industry] business targeting [audience]
```

### With Specific Goals

```
Find low-competition keywords for [topic] with commercial intent
```

```
Identify question-based keywords for [topic] that AI systems might answer
```

### Competitive Research

```
What keywords is [competitor URL] ranking for that I should target?
```

## Data Sources

> See [CONNECTORS.md](../../CONNECTORS.md) for tool category placeholders.

**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.

## Instructions

When a user requests keyword research:

1. **Understand the Context**

   Ask clarifying questions if not provided:
   - What is your product/service/topic?
   - Who is your target audience?
   - What is your business goal? (traffic, leads, sales)
   - What is your current domain authority? (new site, established, etc.)
   - Any specific geographic targeting?
   - Preferred language?

2. **Generate Seed Keywords**

   Start with:
   - Core product/service terms
   - Problem-focused keywords (what issues do you solve?)
   - Solution-focused keywords (how do you help?)
   - Audience-specific terms
   - Industry terminology

3. **Expand Keyword List**

   For each seed keyword, generate variations:
   
   ```markdown
   ## 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):

   ```markdown
   ### 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:
   - Informational = 1
   - Navigational = 1
   - Commercial = 2
   - Transactional = 3

   ```markdown
   ### Opportunity Matrix
   
   | Scenario | Volume | Difficulty | Intent | Priority |
   |----------|--------|------------|--------|----------|
   | Quick Win | Low-Med | Low | High | ⭐⭐⭐⭐⭐ |
   | Growth | High | Medium | High | ⭐⭐⭐⭐ |
   | Long-term | High | High | High | ⭐⭐⭐ |
   | Research | Low | Low | Low | ⭐⭐ |
   ```

7. **Identify GEO Opportunities**

   Keywords likely to trigger AI responses:
   
   ```markdown
   ### GEO-Relevant Keywords
   
   **High GEO Potential**
   - Question formats: "What is...", "How does...", "Why is..."
   - Definition queries: "[term] meaning", "[term] definition"
   - Comparison queries: "[A] vs [B]", "difference between..."
   - List queries: "best [category]", "top [number] [items]"
   - How-to queries: "how to [action]", "steps to [goal]"
   
   **AI Answer Indicators**
   - Query is factual/definitional
   - Answer can be summarized concisely
   - Topic is well-documented online
   - Low commercial intent
   ```

8. **Create Topic Clusters**

   Group keywords into content clusters:

   ```markdown
   ## Topic Cluster: [Main Topic]
   
   **Pillar Content**: [Primary keyword]
   - Search volume: [X]
   - Difficulty: [X]
   - Content type: Comprehensive guide
   
   **Cluster Content**:
   
   ### Sub-topic 1: [Secondary keyword]
   - Volume: [X]
   - Difficulty: [X]
   - Links to: Pillar
   - Content type: [Blog post/Tutorial/etc.]
   
   ### Sub-topic 2: [Secondary keyword]
   - Volume: [X]
   - Difficulty: [X]
   - Links to: Pillar + Sub-topic 1
   - Content type: [Blog post/Tutorial/etc.]
   
   [Continue for all cluster keywords...]
   ```

9. **Generate Output Report**

   Produce a report containing: Executive Summary, Top Keyword Opportunities (Quick Wins, Growth, GEO), Topic Clusters, Content Calendar, and Next Steps.

   > **Reference**: See [references/example-report.md](./references/example-report.md) for the full report template and example.

## Validation Checkpoints

### Input Validation
- [ ] Seed keywords or topic description clearly provided
- [ ] Target audience and business goals specified
- [ ] Geographic and language targeting confirmed
- [ ] Domain authority or site maturity level established

### Output Validation
- [ ] Every recommendation cites specific data points (not generic advice)
- [ ] Search volume and difficulty scores included for each keyword
- [ ] Keywords grouped by intent and mapped to content types
- [ ] Topic clusters show clear pillar-to-cluster relationships
- [ ] Source of each data point clearly stated (~~SEO tool data, user-provided, or estimated)

## Example

> **Reference**: See [references/example-report.md](./references/example-report.md) for a complete example report for "project management software for small businesses".

### Advanced Usage

- **Intent Mapping**: `Map all keywords for [topic] by search intent and funnel stage`
- **Seasonal Analysis**: `Identify seasonal keyword trends for [industry]`
- **Competitor Gap**: `What keywords do [competitor 1], [competitor 2] rank for that I'm missing?`
- **Local Keywords**: `Research local keywords for [business type] in [city/region]`

## Tips for Success

1. **Start with seed keywords** that describe your core offering
2. **Don't ignore long-tail** - they often have highest conversion rates
3. **Match content to intent** - informational queries need guides, not sales pages
4. **Group into clusters** for topical authority
5. **Prioritize quick wins** to build momentum and credibility
6. **Include GEO keywords** in your strategy for AI visibility
7. **Review quarterly** - keyword dynamics change over time


## Reference Materials

- [Keyword Intent Taxonomy](./references/keyword-intent-taxonomy.md) — Complete intent classification with signal words and content strategies
- [Topic Cluster Templates](./references/topic-cluster-templates.md) — Hub-and-spoke architecture templates for pillar and cluster content
- [Keyword Prioritization Framework](./references/keyword-prioritization-framework.md) — Priority scoring matrix, categories, and seasonal keyword patterns
- [Example Report](./references/example-report.md) — Complete example keyword research report for project management software

## Related Skills

- [competitor-analysis](../competitor-analysis/) — See what keywords competitors rank for
- [content-gap-analysis](../content-gap-analysis/) — Find missing keyword opportunities
- [seo-content-writer](../../build/seo-content-writer/) — Create content for target keywords
- [geo-content-optimizer](../../build/geo-content-optimizer/) — Optimize for AI citations
- [rank-tracker](../../monitor/rank-tracker/) — Monitor keyword position changes over time