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keyword-research
Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
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Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
全网持续收录每日超过1000+公众号10w+文章内容,向用户推送公众号达到10w+阅读的热门文章;当用户需要获取全领域的公众号热门文章、或订阅每日10w+文章推送、特定领域爆款文章时使用
将现成的文章内容发布到微信公众号草稿箱。当用户说"发布文章"、"发布到草稿箱"、"publish to draft"、"推送到公众号"时触发。
搜索微信公众号文章技能。通过微信搜索获取文章列表,覆盖科技/AI、社会热点、财经、教育、职场等各类中文资讯;可按关键词检索并返回标题、概要、发布时间、来源公众号与链接。当用户需要查找微信公众号文章、整理参考资料或快速获取文章信息时使用此技能。
微信公众号文章爬虫 - 将微信公号文章转换为 Markdown + 本地图片
微信公众号发布流水线:视觉排版→主编审核→API发布→数据复盘。在已有Markdown定稿基础上执行微信格式化和发布。触发词:发布到微信、微信排版、微信发布。需先完成内容创作。
公众号搜索工具,支持按关键词搜索爆款文章,展示推荐热门文章,助力内容创作者把握趋势与获取灵感;当用户需要搜索公众号文章、查找爆款内容、获取创作灵感时使用
基于 SOC 职业分类
| name | keyword-research |
| description | Find high-value SEO keywords: search volume, difficulty, intent classification, topic clusters. 关键词研究/内容选题 |
| version | 9.9.5 |
| license | Apache-2.0 |
| compatibility | Claude Code, skills.sh, ClawHub, Vercel Labs, Cursor, Windsurf, Codex CLI, Amp, Gemini CLI, Kimi Code, Qwen Code, CodeBuddy |
| homepage | https://github.com/aaron-he-zhu/seo-geo-claude-skills |
| when_to_use | Use when starting keyword research for a new page, topic, or campaign. Also when the user asks about search volume, keyword difficulty, topic clusters, long-tail keywords, what to write about, 关键词研究, 挖词, 内容选题, or 搜什么词. |
| argument-hint | <topic or seed keyword> [market/language] |
| metadata | {"author":"aaron-he-zhu","version":"9.9.5","geo-relevance":"medium","tags":["seo","geo","keyword-research","search-volume","keyword-difficulty","topic-clusters","search-intent","long-tail-keywords","关键词研究","SEO关键词","キーワード調査","키워드분석","palabras-clave"],"triggers":["keyword research","find keywords","search volume analysis","keyword difficulty","what should I write about","give me keyword ideas","how do I find good keywords","how competitive is this keyword","Ahrefs alternative","Ahrefs keyword explorer alternative","Semrush keyword magic tool","Google Keyword Planner alternative","Ubersuggest alternative","关键词研究","关键词分析","长尾关键词","写什么内容好","帮我挖词","内容机会","搜什么词","选题规划","キーワード調査","検索ボリューム","키워드 리서치","검색량 분석","investigación de palabras clave","volumen de búsqueda","pesquisa de palavras-chave","volume de busca"]} |
Discovers, scores, and clusters keywords for SEO and GEO planning.
Research keywords for [topic/product/service]
What keywords is [competitor URL] ranking for that I should target?
Expected output: a prioritized keyword brief plus the standard handoff summary for memory/research/.
memory/hot-cache.md, memory/decisions.md, and memory/research/.Emit the standard shape from skill-contract.md §Handoff Summary Format.
Optional integrations: ~~SEO tool, ~~search console. Without tools, ask for seed keywords, audience, goals, and any known metrics. See CONNECTORS.md.
When a user requests keyword research, run eight phases and announce each as [Phase X/8: Name]:
Opportunity = (Volume × Intent Value) / Difficulty, with Intent Value 1 / 1 / 2 / 3.Quality bar: every recommendation includes at least one specific number. Rewrite generic advice into a concrete keyword + volume + difficulty + reason.
Reference: See references/instructions-detail.md for the full 8-phase templates, expansion patterns, intent table, difficulty tiers, opportunity matrix, GEO indicators, cluster template, actionable-vs-generic examples, and advanced usage.
Example outcome: 150+ keywords analyzed, 23 high-priority opportunities, ~45K/month traffic potential across 3 focus areas. See the full sample in references/example-report.md.
Intent mapping, seasonal analysis, competitor gaps, and local keyword workflows live in references/instructions-detail.md.
Start with seeds, respect intent, cluster tightly, prioritize quick wins, and review quarterly. Full notes live in references/instructions-detail.md.
After delivering, offer to save memory/research/keyword-research/YYYY-MM-DD-<topic>.md and promote durable conclusions to memory/hot-cache.md.
Primary: competitor-analysis. Also: content-gap-analysis and serp-analysis.