seo-growth

仓库创建 2026年6月14日最近提交 1 天前SkillHot 收录 8 小时前
▸ 精选理由

聚焦“有无数据”两类情形,适合初创或无权威站点的策略制定。

这个 Skill 做什么

基于站点数据状态决策优先做哪类 SEO 工作的增长方法论。

给出把 SEO 精力投到哪类工作的决策框架——不是写页面,而是告诉你先做哪件事。适合新站冷启动、已有页面没带来收益或流量停滞的场景。核心是先看有没有第一方数据,再按站点处于“无排名”或“有招牌页”的不同阶段选策略,避免盲目产出浪费资源。

▸ 展开 SKILL.md 英文原文

Use when deciding WHERE to point SEO effort, not how to write a page. Triggers: a new site or brand with no rankings and no authority ("cold start", "starting from zero", "nobody knows us"), deciding what to double down on, a page or cluster that ranks but earns nothing, hunting emerging or newly-coined keywords before competitors arrive, "should we build a cluster or one page", "what do we write next", "we get impressions but no clicks", "our traffic plateaued despite publishing", whether to chase a head term at all, or turning any of it into recurring automation. Also use when asked why an SEO effort stalled despite consistent output. NOT for writing an article, keyword expansion mechanics, or auditing a single tactic for penalty risk.

内容创作SEO增长策略冷启动通用
1.1k
Stars
141
Forks
10
仓库内 Skill
积累中
7 日增星
安装 / 使用
给你的 Agent 一句话(通用)
帮我安装这个 skill:https://raw.githubusercontent.com/AI-Builder-Club/skills/main/skills/seo-growth/SKILL.md
或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/AI-Builder-Club/skills/main/skills/seo-growth/SKILL.md"
SKILL.MD 节选查看完整文件 ↗
# /seo-growth — first-party SEO growth method

**Core principle: the right move depends on whether you have data yet, and most bad SEO advice
is given to the wrong one of those two situations.** A site with no rankings and a site with a
breadwinner page need opposite behavior. Advice that ignores which you are in is how efforts
stall despite consistent output.

Distilled from two content properties run in production and the Search Console reads that
produced each rule. This is **a first-party method**: narrower than a general playbook, and
more trustworthy for it. Every rule traces to the failure or result behind it in
`references/why-these-rules.md`. Absolute traffic figures are withheld; t
via SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有