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competitor-analysis Hermes AI Agent Skill
Quellcode ansehen: aaron-he-zhu/seo-geo-claude-skills
MediumInstallation
npx skills add aaron-he-zhu/seo-geo-claude-skills --skill competitor-analysis 5.4K
Installationen
SEO & GEO Skills Library
20 skills. 5 commands. Plan, audit, and monitor SEO/GEO work.
Claude Skills and Commands for Search Engine Optimization (SEO) and Generative Engine Optimization (GEO). Skill content is zero-dependency Markdown; Claude Code hooks use a small Bash runner. Content quality uses CORE-EEAT (80 items); domain trust uses CITE (40 items).
Quick Start
Install with Claude Code, any Agent Skills-compatible host, or a plain git clone:
| Tool | Install |
|---|---|
| Claude Code | /plugin marketplace add aaron-he-zhu/seo-geo-claude-skills |
| skills.sh / generic Agent Skills hosts | npx skills add aaron-he-zhu/seo-geo-claude-skills |
| Any host | git clone https://github.com/aaron-he-zhu/seo-geo-claude-skills |
Single skill: npx skills add aaron-he-zhu/seo-geo-claude-skills -s keyword-research.
If your host supports automatic skill routing, try a natural-language request:
Research keywords for my SaaS product targeting small teamsSlash-command entrypoint when your host exposes ./commands/:
/aaron:auto audit https://example.com/blog/my-articleOptional tools are documented in CONNECTORS.md; every skill also works at Tier 1 with user-provided data.
Operating Model
Every skill follows the same activation contract: Quick Start, Skill Contract, Handoff Summary, Data Sources, Instructions, Reference Materials, and Next Best Skill. Four cross-cutting skills form the protocol layer:
| Protocol skill | Role |
|---|---|
content-quality-auditor |
80-item CORE-EEAT publish gate |
domain-authority-auditor |
40-item CITE trust gate |
entity-optimizer |
Canonical entity profile |
memory-management |
HOT/WARM/COLD project memory (capture · promote · demote · archive · query) |
Shared refs: skill-contract.md, state-model.md, auditor-runbook.md.
Skills
Commands
Five commands, organized by SEO/GEO intent:
| Command | Use it for |
|---|---|
/aaron:auto |
Describe any goal — infers intent and runs the smallest useful workflow (--deep for exhaustive/stress-test) |
/aaron:research |
Keyword demand, SERP intent, competitors, content gaps, site/topic/entity maps |
/aaron:create |
Brief, write, series, refresh, CMS-neutral publish package (--brief/--series/--refresh/--publish/--meta/--schema) |
/aaron:audit |
On-page + CORE-EEAT quality, technical SEO, AI visibility, domain authority (--full/--tech/--visibility/--authority) |
/aaron:track |
Rankings, alerts, performance reports, project memory (--alert/--report/--remember) |
Daily work normally starts with /aaron:auto, which runs the workflow implied by your goal and stops only at blocking decisions. The other four are explicit mode entrypoints.
Breaking rename note: current commands use /aaron:. Paste any old /seo:* command into /aaron:auto to recover the new route; for example, /aaron:auto /seo:audit-page https://example.com/blog/post returns /aaron:audit https://example.com/blog/post.
Command files: commands/.
Recommended Workflow
- Research:
keyword-research->competitor-analysis->content-gap-analysis. - Build:
seo-content-writer->geo-content-optimizer->meta-tags-optimizer/schema-markup-generator. - Optimize:
content-quality-auditor->on-page-seo-auditor->technical-seo-checker. - Monitor:
rank-tracker->performance-reporter->alert-manager.
For a full trust review, pair content-quality-auditor with domain-authority-auditor for a 120-item assessment. If memory-management is active, handoffs and open loops are retained in HOT/WARM/COLD memory.
References
| Reference | Purpose |
|---|---|
| core-eeat-benchmark.md | 80-item content quality benchmark |
| cite-domain-rating.md | 40-item domain authority benchmark |
| auditor-runbook.md | Auditor handoff schema, cap arithmetic, artifact gate |
| CONNECTORS.md | Optional MCP/tool connector tiers |
Contributing
See CONTRIBUTING.md. Release state is tracked in VERSIONS.md; security guidance is in SECURITY.md.
Disclaimer
These skills assist SEO/GEO workflows but do not guarantee rankings, AI citations, traffic, legal compliance, or business outcomes. Verify recommendations with qualified professionals before relying on them for major strategy or legal decisions.
License
Apache License 2.0
Star History
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Quellcode ansehen
aaron-he-zhu/seo-geo-claude-skills
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So verwenden Sie diesen Skill
Install competitor-analysis by running npx skills add aaron-he-zhu/seo-geo-claude-skills --skill competitor-analysis in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für competitor-analysis, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
AI chat subscription
Turn model research into daily AI work.
Use 100+ models, web search, files, and EU-hosted options in one paid chat workspace.