seo-geo-claude-skills
20 SEO GEO skills for Claude Code, Cursor, Codex, and 35+ AI agents. Keyword research, content writing, technical audits, rank tracking. CORE-EEAT + CITE frameworks.。主要特性包括:Phase 1 — auto-refreshed memory/wiki/index.md (Phase 1 is automatic; no user action needed)。
详细介绍
项目简介
20 SEO GEO skills for Claude Code, Cursor, Codex, and 35+ AI agents. Keyword research, content writing, technical audits, rank tracking. CORE-EEAT + CITE frameworks.。主要特性包括:Phase 1 — auto-refreshed memory/wiki/index.md (Phase 1 is automatic; no user action needed)。
主要特性
- •Phase 1 — auto-refreshed memory/wiki/index.md (Phase 1 is automatic; no user action needed)
适用场景
快速开始
# 克隆仓库
git clone https://github.com/aaron-he-zhu/seo-geo-claude-skills
# 进入目录
cd seo-geo-claude-skills
# 查看文档
cat README.md原文 README
SEO & GEO Skills Library
20 skills. 20 commands. Plan, audit, and monitor SEO/GEO work.
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-previewlists candidates; explicit confirmation moves WARM tomemory/archive/. Recover any time by saying/aaron:remember recover wiki(memory-management runs the recovery for you). Power users can alsobash scripts/recover-retired-warm.shdirectly.
rm -rf memory/wiki/ always reverts cleanly. Retirement history (Phase 3) survives in COLD frontmatter — not destroyed by wiki deletion.