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competitor-research

作者 Kostja Zhang · GitHub ↗ · v1.2.1 · MIT-0
cross-platform ✓ 安全检测通过
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在 OpenClaw 中安装
/install competitor-research-seo
功能描述
When the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor re...
使用说明 (SKILL.md)

SEO Content: Competitor Research

Guides competitor research for SEO, content, backlinks, and positioning. Use when planning content, auditing articles, building links, or evaluating market position.

When invoking: On first use, if helpful, open with 1–2 sentences on what this skill covers and why it matters, then provide the main output. On subsequent use or when the user asks to skip, go directly to the main output.

Research Types

Type Purpose Output
Keyword/topic Topics competitors rank for; gaps Keyword opportunities; content ideas
Content Structure, length, gaps vs top rankers Length target; H2 structure; content gaps
Backlink Link profile; sites linking to competitors Link gap; outreach targets
Pricing Competitor pricing, positioning Pricing context; differentiation
SEO metrics Organic traffic, rankings vs competitors Benchmark; opportunity areas

Competitor Keyword / Topic Analysis

Method Practice
Reverse engineering Analyze competitor titles, H1, URL; identify topics they rank for
SERP overlap Keywords with overlapping top-ranking pages → same cluster; #4–10 = opportunity
site: operator site:competitor.com to see indexed pages
Tool Ahrefs, Semrush—competitor keyword overlap, gap analysis

Output: Keyword opportunities; topics competitors cover that you don't.

Competitor Content Analysis

Element Check
Word count Top 10 average; length target for your content
H2 structure Topics covered; structure to adopt
Content gaps What top rankers cover that you miss
Keyword placement Primary keyword in title, H1, first 100 words
Format Lists, tables, FAQ; match or improve

Use when: Auditing or creating articles; see article-page-generator for Research Phase integration.

Competitor Article Fetch Workflow (for Article Analysis)

When analyzing or auditing a single article, use this lightweight workflow to obtain competitor articles:

  1. Obtain URLs: From user, project-context Section 11, or web search for "[target keyword]" to find top-ranking pages
  2. Fetch content: Use mcp_web_fetch or WebSearch to fetch 2–3 top-ranking pages
  3. Analyze: Word count, H2 structure, keyword placement, content gaps, CTA, schema
  4. Output: Competitor URLs, brief structure comparison, content gaps, length target, keyword opportunities

Output format: Competitor URLs; word count and H2 structure per URL; content gaps vs your article; recommended length target; keyword opportunities (terms top rankers use that your article misses).

Competitor Backlink Analysis

Action Purpose
Compare profiles Your backlinks vs competitors
Link gap Sites linking to competitors but not you
Opportunity Outreach to those sites; content they might link to

Tools: Ahrefs, Semrush—Link Intersect, competitor backlink reports. See backlink-analysis.

Competitor Pricing

Use Practice
Positioning Where you sit vs competitors
Differentiation Value prop when price differs
Alternatives pages Who to include; how to position

See pricing-strategy, alternatives-page-generator.

Data Sources

Source Use
SimilarWeb Traffic, engagement, traffic sources by domain
Ahrefs Competitor domains, backlinks, DR
SEMrush Organic competitors, traffic share
GA Referral traffic, acquisition by source
PostHog Competitor feature usage (if tracked)

Report Workflow

  1. Parse — Read Excel/CSV, infer domain, visits, traffic sources, etc. from headers
  2. Enrich — Web search, visit competitor sites; read project-context.md if present
  3. Build — Structure data for report
  4. Generate — Output report in chosen format

Output Format

  • Competitors identified
  • Research type (keyword, content, backlink, pricing)
  • Findings (gaps, opportunities, benchmarks)
  • Recommendations (content to create, links to pursue, positioning)

Report Structure Reference

Section Content
Executive Summary Key findings (top 3), top 3 recommendations
Competitor Overview Competitor, category, market position, key strength
Product Comparison Feature/capability vs Us vs Competitors
SWOT Analysis Our strengths/weaknesses/opportunities/threats; competitor deep dives
Marketing & Messaging Value prop, target audience, key channels
Gaps & Opportunities Gap, opportunity, priority
Prioritized Recommendations Recommendation, impact, effort, owner

Related Skills

  • keyword-research: Competitor reverse; keyword discovery
  • article-page-generator: Competitor article analysis in Research Phase
  • content-strategy: Competitor analysis for topic mapping
  • content-optimization: Competitor length and structure as reference
  • backlink-analysis: Competitor backlink comparison; link gap
  • seo-monitoring: Competitive comparison; organic vs competitors
  • alternatives-page-generator: Competitor selection; comparison framing
  • migration-page-generator: Competitor migration paths
  • pricing-strategy: Competitor pricing context
  • affiliate-marketing: Find affiliates promoting competitors
  • directories: Competitor info for directory submissions
安全使用建议
This skill appears to be what it says: an instruction-only competitor-research guide for SEO. Before enabling or using it, consider: (1) It will instruct the agent to read uploaded files and any project-context.md present — avoid placing secrets or unrelated sensitive data in those files. (2) If you want the agent to call Ahrefs/SEMrush/GA/PostHog APIs, you'll need to provide API keys to the agent environment or connectors — the skill does not declare or manage those credentials. (3) The skill recommends using other tools/skills (e.g., mcp_web_fetch); review those skills' permissions and behavior before allowing autonomous runs. If you are comfortable with the agent accessing project files and (optionally) third-party SEO accounts, the skill is coherent and reasonable to use.
功能分析
Type: OpenClaw Skill Name: competitor-research-seo Version: 1.2.1 The skill bundle contains standard SEO competitor research instructions and workflows. It guides the agent to use web search tools (mcp_web_fetch) and SEO platforms (Ahrefs, Semrush) to analyze keywords, content structure, and backlinks, with no evidence of malicious intent, data exfiltration, or unauthorized execution in SKILL.md or _meta.json.
能力评估
Purpose & Capability
Name/description (competitor research for SEO, content, backlinks, positioning) align with the SKILL.md content. The documented workflows (keyword, content, backlink, pricing analysis), outputs, and recommended tools (Ahrefs, SEMrush, SimilarWeb) are appropriate and expected for this purpose.
Instruction Scope
Runtime instructions instruct the agent to parse local uploads (Excel/CSV, project-context.md) and to fetch competitor pages via other tools (mcp_web_fetch or WebSearch). Reading local project/context files and uploaded CSVs is coherent for building reports, but that capability means the agent will access potentially sensitive project files — the skill does not attempt to limit or qualify what it should/shouldn't read.
Install Mechanism
This is an instruction-only skill with no install spec and no code files. That minimizes on-disk execution risk; nothing is downloaded or installed by the skill itself.
Credentials
The SKILL.md references external services (Ahrefs, Semrush, SimilarWeb, GA, PostHog) that commonly require API keys or account access. The skill declares no required environment variables or credentials. This is reasonable for an instruction-only guide (it can suggest using those tools), but if the agent is configured to call those APIs autonomously, credentials would be needed and are not declared here — a minor mismatch to be aware of.
Persistence & Privilege
The skill does not request permanent presence (always:false) and makes no system-level configuration changes. It is user-invocable and allowed to be invoked autonomously per platform defaults; no extra privileges are requested.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install competitor-research-seo
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /competitor-research-seo 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.1
Automated batch sync
v1.2.0
Automated batch sync
元数据
Slug competitor-research-seo
版本 1.2.1
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 2
常见问题

competitor-research 是什么?

When the user wants to analyze competitors for SEO, content, backlinks, or positioning. Also use when the user mentions "competitor analysis," "competitor re... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 153 次。

如何安装 competitor-research?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install competitor-research-seo」即可一键安装,无需额外配置。

competitor-research 是免费的吗?

是的,competitor-research 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

competitor-research 支持哪些平台?

competitor-research 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 competitor-research?

由 Kostja Zhang(@kostja94)开发并维护,当前版本 v1.2.1。

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