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Found 157 Skills
Use when expanding seed topics into intent-based clusters and prioritizing opportunities.
Research, expand, and cluster keywords for content strategy. Use when planning content topics, building keyword lists, expanding seed keywords, clustering by topic and intent, or mapping keywords to funnel stages. Triggers on "keyword research," "keyword expansion," "keyword clustering," "content topics," "what to write about," "topic ideation," "content planning," "6 circles method," "seed keywords," "keyword difficulty," "search volume," "intent mapping," "pillar content strategy," or "content calendar planning." For SEO optimization and auditing, see seo-and-aeo-strategy.
Builds a prioritized keyword list for technical search queries (error strings, "how to X in Y" tasks, integration intents, comparisons, migrations) mined from docs search logs, support tickets, issue trackers and first-party query data rather than keyword-tool volume. Use whenever the user asks what developers actually search for, wants keywords for a developer tool, API, SDK or docs site, an error-message keyword list, demand sizing for a technical topic, or which docs pages to create from search demand - even if they never say "keyword". Does not write the pages. Do NOT use for on-page or docs-site SEO - use samber/developer-relations-skills@docs-seo.
Perform keyword research using the SemRush API. Use when the user says "find keywords", "keyword research", "what should I rank for", "keyword ideas", "search volume", "keyword difficulty", "topic clusters", "content gaps", or asks about SEO keywords for a topic or niche.
When the user wants to research keywords, find target keywords, or analyze search intent. Also use when the user mentions "keyword research," "keyword tool," "target keywords," "search volume," "search intent," "keyword difficulty," "topical map," "keyword clustering," or "People Also Ask."
Amazon keyword research and market opportunity analysis for sellers. Retrieve autocomplete suggestions (long-tail keywords), analyze competitor landscape, and assess market opportunity for any keyword on 12 Amazon marketplaces (US/UK/DE/FR/IT/ES/JP/CA/AU/IN/MX/BR). No API key required. Make sure to use this skill whenever the user mentions Amazon product research, finding products to sell on Amazon, Amazon keyword ideas, niche analysis, competition analysis for Amazon, market opportunity on Amazon, comparing Amazon keywords, evaluating whether a product is worth selling, Amazon autocomplete data, seasonal demand for Amazon products, or anything related to researching what to sell on Amazon — even if they don't explicitly say 'keyword research'. Also trigger when the user asks vague questions like 'is this a good product to sell?', 'what's the competition like for X on Amazon?', 'should I sell X or Y?', or 'what are people searching for on Amazon?'.
调用 Sorftime 研究 Walmart 美国站关键词市场、名称反查词、搜索结果商品、关键词详情、商品关联词与扩展词，并管理收藏关键词目录。当用户提到 Walmart 关键词研究、搜索量或排名筛选、商品反查关键词、相关关键词、关键词详情、关键词搜索结果商品、收藏关键词、关键词分组、keyword research、keyword discovery、related keywords 或 product keywords 时使用。
Deep Etsy keyword research for digital products. Use when researching keywords for Etsy listings, finding profitable niches, analyzing search volume and competition, or optimizing listing tags. Produces actionable keyword lists with search volume estimates, competition scores, and strategic recommendations.
Strategic content planning without expensive tools. 6 Circles Method to find what to write about and prioritize it.
Discover, analyze, and prioritize keywords for SEO and GEO content strategies. Identifies high-value opportunities based on search volume, competition, intent, and business relevance. Generates topic clusters and content calendars. Use when asked to "find keywords", "keyword research", "what should I write about", "keyword analysis", "find me topics to write", "search volume", "keyword difficulty", "content ideas", or any keyword discovery task.
Build a complete Amazon keyword set for a product and sort it into a usable map. generates seed keywords, expands by intent, classifies by funnel stage and relevance, and assigns each keyword a placement (title, bullets, backend, PPC). Use when a user asks for keyword research, keyword ideas, what keywords to target, long-tail keywords, search terms to rank for, or how to map keywords to a listing. Trigger phrases: "keyword research", "keyword ideas", "what keywords", "long tail keywords", "keywords for my listing", "keyword map". Works with zero tools. the user describes the product and audience.
When the user wants to find blog keywords, do keyword research for SEO, or build a keyword list for content. Use when the user mentions "keyword research," "blog keywords," "find keywords," "what should I blog about," "keyword ideas," "long-tail keywords," "striking distance keywords," "keyword gap," "content gap analysis," "competitor keywords," "keyword difficulty," "search volume," "topic clusters," "pillar content keywords," "keyword list," or "what are people searching for." Outputs a ranked JSONL keyword list for downstream content creation. For writing content strategy, see content-strategy. For SEO audits, see seo-audit. For AI search optimization, see ai-seo.