SEO & GEO Skills Library

20 skills. 20 commands. Plan, audit, and monitor SEO/GEO work.

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Claude Skills and Commands for Search Engine Optimization (SEO) and Generative Engine Optimization (GEO). This repository is the candidate SEO/GEO anchor capability pack for slash-aaron. Skill content is zero-dependency Markdown; Claude Code hooks use a small Bash runner. Install targets and support claims are maintained in the Marketplace Module and platform registry. Content quality uses CORE-EEAT (80 items); domain trust uses CITE (40 items).

Quick Start

Common install paths are below. Support level, evidence, manifest ownership, and release rules live in marketplaces/README.md and distribution/platforms.json.

| Tool | Install | |------|---------| | Claude Code | /plugin marketplace add aaron-he-zhu/seo-geo-claude-skills | | ClawHub.ai / OpenClaw | clawhub install aaron-he-zhu/<skill> or bundle | | Gemini CLI | gemini extensions install https://github.com/aaron-he-zhu/seo-geo-claude-skills | | Qwen Code | qwen extensions install https://github.com/aaron-he-zhu/seo-geo-claude-skills | | Amp | amp skill add aaron-he-zhu/seo-geo-claude-skills | | Kimi Code CLI | kimi plugin install https://github.com/aaron-he-zhu/seo-geo-claude-skills.git | | CodeBuddy | /plugin marketplace add aaron-he-zhu/seo-geo-claude-skills then /plugin install aaron-seo-geo | | skills.sh / generic Agent Skills hosts | npx skills add 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 teams

Slash-command entrypoint when your host exposes ./commands/:

/aaron:auto audit https://example.com/blog/my-article

Optional 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 + wiki layer (compile · query · contradiction-resolution · retire · restore; v9.9.9+) |

Shared refs: skill-contract.md, state-model.md, auditor-runbook.md.

Wiki Layer (v9.9.9+)

Project memory matures from raw WARM files → derived wiki pages → optional retirement of covered WARM into COLD. Three phases:

• Phase 1 — auto-refreshed memory/wiki/index.md (Phase 1 is automatic; no user action needed)
• Phase 2 — compiled wiki pages: type "compile a wiki page on X" / "synthesize what we know about X" / "整理一下X的资料" once you have ≥3 WARM files referencing entity X. Contradictions surface at next session as (a)/(b)/(s)/(i) prompt.
• Phase 3 — user-initiated retirement: /aaron:guard --wiki --retire-preview lists candidates; explicit confirmation moves WARM to memory/archive/. Recover any time by saying /aaron:remember recover wiki (memory-management runs the recovery for you). Power users can also bash scripts/recover-retired-warm.sh directly.

rm -rf memory/wiki/ always reverts cleanly. Retirement history (Phase 3) survives in COLD frontmatter — not destroyed by wiki deletion. See wiki-runbook.md for full execution detail.

Skills

| Phase | Skills | |-------|--------| | Research | keyword-research, competitor-analysis, serp-analysis, content-gap-analysis | | Build | seo-content-writer, geo-content-optimizer, meta-tags-optimizer, schema-markup-generator | | Optimize | on-page-seo-auditor, technical-seo-checker, internal-linking-optimizer, content-refresher | | Monitor | rank-tracker, backlink-analyzer, performance-reporter, alert-manager | | Cross-cutting | content-quality-auditor, domain-authority-auditor, entity-optimizer, memory-management |

Commands

SEO/GEO pack-local entries: /aaron:auto; exceptional maximum-depth mode: /aaron:max (both included in user-facing commands below). User commands: /aaron:auto, /aaron:max, /aaron:discover, /aaron:compete, /aaron:map, /aaron:brief, /aaron:write, /aaron:series, /aaron:refresh, /aaron:publish, /aaron:audit, /aaron:visibility, /aaron:tech, /aaron:authority, /aaron:watch, /aaron:report, /aaron:remember.

Maintenance commands: /aaron:skillify, /aaron:evolve, /aaron:guard.

Daily SEO/GEO work normally starts with /aaron:auto, which runs the SEO/GEO pack-local workflow implied by your goal and stops only at blocking decisions. Use /aaron:max only when you explicitly want maximum-depth, exhaustive, or stress-test analysis inside this pack. The remaining commands are expert shortcuts for repeatable jobs. Use /aaron:skillify to review proposed skills or routes, /aaron:evolve for controlled library changes from evidence, and /aaron:guard for maintainer validation.

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

1. Research: keyword-research -> competitor-analysis -> content-gap-analysis.
2. Build: seo-content-writer -> geo-content-optimizer -> meta-tags-optimizer / schema-markup-generator.
3. Optimize: content-quality-auditor -> on-page-seo-auditor -> technical-seo-checker.
4. 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](https://github.com/aaron-he-zhu/seo-geo-claude-skills/blob/main/ref