keyword-research
Skill233 starsChanged 3 months agoMITView on GitHub
Discover keyword opportunities, evaluate metrics and SERPs, and save/tag promising terms.
54 other projects use a version of this, 5 of them edited.
Adopted by
Most recently taken up by
- oivanfelipe/claude-skillstheir own version, first seen Nov 8, 2026
- kostja94/marketing-skillstheir own version, first seen Nov 8, 2026
- kristian-presso/claude-marketing-skillstheir own version, first seen Nov 8, 2026
- foverse/seoverseedited, first seen Nov 8, 2026
- AppKittie/aso-mcp-skillstheir own version, first seen Nov 8, 2026
- MoizIbnYousaf/marketing-clitheir own version, first seen Nov 1, 2026
Used with
Projects with it also use app-marketing-context, metadata-optimization and 6 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
appeekySkillapp-marketing-context
When the user wants to create or update their app marketing context document. Also use when the user mentions "app context", "marketing brief", "app positioning", or when starting any ASO or app marketing project. This is the foundation skill — all other skills check for this context first.
Also in 6 projects that use this
appeekySkillmetadata-optimization
When the user wants to optimize App Store metadata — title, subtitle, keyword field, or description. Also use when the user mentions "optimize my title", "ASO metadata", "keyword field", "character limits", "app description", or "write my subtitle". For keyword discovery, see keyword-research. For full ASO audits, see aso-audit.
Also in 6 projects that use this
JwuthriSkillopenseo-review-web-content
Write and review content for the OpenSEO website (web/) — blog posts, guides, feature pages, FAQs. Distills the philosophy for on-brand, useful, accurate content. Use whenever adding or editing user-facing prose in web/content or web/src.
Also in 5 projects that use this
JwuthriSkillopenseo-release-notes
Cut an OpenSEO release — bump the version, draft user-facing release notes from commits since the last tag, run a review + subagent-verification pass, and open a "release: vX.X.X" PR. Use when the user asks to prepare a release, bump the version, or write release notes.
Also in 6 projects that use this
liangdabiaoSkillreview-analysis
对亚马逊商品评论进行深度分析,自动识别产品痛点、分析退货原因,生成改进建议和客服回复模板。Invoke when user uses /review-analysis command with a product ASIN.
Also in 5 projects that use this
opencueSkillserp-analysis
Use when the user asks to "analyze SERPs"; reviews ranking factors, features, intent, AI Overviews, and snippets. SERP分析/搜索结果
Also in 6 projects that use this
- +2 more from Jwuthri
Other versions54 projects use a version of this.
Word for word · 4
- Jwuthri/Tracely-ai★ 1.3k100% same
- VladSez/easy-invoice-pdf★ 1.1k100% same
- jwuthri-cloud/Tracely-ai★ 979100% same
- IsaacBell/ai-marketing-toolkit★ 0100% same
Edited · 5
- every-app/open-seo★ 27k53% same
- foverse/seoverse★ 453% same
- ventra-rocket/EchoSEO★ 297% same
- winsley-jeune/harborrank-skills★ 231% same
- ictlondon/kraftskills★ 076% same
Wrote their own version · 45
- Ryze-AI-Adgent/open-seo-mcp-skills★ 8.4ksame name
- nowork-studio/toprank★ 4.1ksame name
- nowork-studio/notfair-plugin★ 4.1ksame name
- appeeky/aso-skills★ 2.2ksame name
- Eronred/aso-skills★ 2.2ksame name
- kostja94/marketing-skills★ 1.1ksame name
- liangdabiao/amazon-sorftime-research-MCP-skill★ 1.1ksame name
- indranilbanerjee/digital-marketing-pro★ 934same name
- OpenClaudia/openclaudia-skills★ 731same name
- Karanjot786/TermUI★ 238same name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository8 other files it gives its agents.
- competitive-landscapeSkill
- competitor-analysisSkill
- keyword-clusteringSkill
- link-prospectingSkill
- no-em-dashesSkill
- seo-coachSkill
- seo-project-setupSkill
- write-changelogSkill
The file
We split this skill into the rules it gives an agent
12 rules. 0 are common, 4 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 46 edited versions we read keep these.
4
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 18
If projectId is missing, use list_projects first.
- Distinctive: line 34
If the request is local SEO, identify the business, location/coordinates or service area, and local categories.
- Very specific: line 35
Call research_keywords for exploratory seeds.
- Very specific: line 36
Use get_keyword_metrics to hydrate a fixed keyword list — or the striking-distance queries from step 1 — with volume, KD, and intent before …
- Very specific: line 37
Use get_ranked_keywords when the user provides a domain/page and wants opportunities based on current rankings, near-misses, or …
- Distinctive: line 38
Remove irrelevant, duplicate, branded-only, and off-intent terms.
- Very specific: line 46
Use get_serp_results for high-potential or ambiguous keywords when SERP intent would change the recommendation.
- Very specific: line 48
Ask before saving keywords.
- Distinctive: line 52
Start with the highest-signal recommendation:
- Very specific: line 68
Do not invent metrics. If OpenSEO does not return a value, write unknown.
- Very specific: line 69
Do not call save_keywords without explicit confirmation.
- Distinctive: line 70
Prefer business-fit and intent-fit over chasing the largest volume term.
“Common” is measured: kept by at least 6 in 10 of the 46 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
OpenSEO Keyword Research
Goal
Turn seed topics into a prioritized keyword opportunity set using OpenSEO MCP data. The output should help the user decide what to target, what to save, and what to research next.
Required inputs
projectId- One or more seed topics, products, pages, competitors, or audience problems
- Optional market/location/language
If projectId is missing, use list_projects first. If the target market/location/language is unclear and would materially affect keyword metrics, ask the user; otherwise use the MCP tool defaults.
OpenSEO MCP tools
research_keywords: primary discovery tool. Use 1-5 seeds per call and prefer 150 results unless the user asks for exhaustive research.get_keyword_metrics: hydrate up to 700 known keywords with volume, keyword difficulty (KD), search intent, CPC, and monthly trends in one call. Use it to score candidate or known terms — including the Search Console striking-distance queries from step 1.get_ranked_keywords: pull exact ranking keyword rows when a target domain or page is part of the research brief.get_search_console_performance: when Search Console is connected, start from the project's real first-party demand — queries already earning impressions and near-ranking ("striking distance") terms. Request a highrowLimitand filter average position 5-20 client-side, since the API sorts by clicks and can't filter by position. Then hydrate those striking-distance queries withget_keyword_metricsto attach difficulty and intent.get_serp_results: inspect SERPs for the top candidate terms, especially when intent is ambiguous.search_local_businesses,get_local_serp_results, andget_google_business_questions: use for local SEO topics when a business/location radius matters.list_saved_keywords: avoid duplicating already-saved work or use existing tags as context.save_keywords: save selected keywords only after explicit user confirmation.
Workflow
- Normalize seeds into a small set of distinct research angles. If Search Console is connected for the project, first pull
get_search_console_performance(highrowLimit, default lookback), filter to striking-distance positions (~5–20) client-side, and hydrate those queries withget_keyword_metricsto attach KD and intent. That ranked, hydrated list is your fastest opportunity set — work it before broad discovery. - If the request is local SEO, identify the business, location/coordinates or service area, and local categories. Use
search_local_businessesandget_local_serp_resultsfor the most important location/keyword set instead of relying only on national keyword/SERP data. - Call
research_keywordsfor exploratory seeds. Use bulk calls when possible. - Use
get_keyword_metricsto hydrate a fixed keyword list — or the striking-distance queries from step 1 — with volume, KD, and intent before prioritizing. - Use
get_ranked_keywordswhen the user provides a domain/page and wants opportunities based on current rankings, near-misses, or competitor-owned terms. - Remove irrelevant, duplicate, branded-only, and off-intent terms.
- Prioritize by practical opportunity, not volume alone:
- Strong match to the user's product/page/topic
- Clear search intent
- Reasonable difficulty
- Useful volume/CPC signal
- SERP where the user can plausibly compete
- For local SEO, local-pack/Maps visibility and proximity fit
- Use
get_serp_resultsfor high-potential or ambiguous keywords when SERP intent would change the recommendation; keep the default check small. - Present a shortlist and a longer opportunity table.
- Ask before saving keywords. When saving, suggest concise tags such as
topic:<topic>,intent:<intent>, orpage:<slug>.
Output format
Start with the highest-signal recommendation:
- Best opportunity theme
- Top keywords to target now
- Keywords to save
- Risks or SERP caveats
Then include a compact table:
| Keyword | Intent | Volume | KD | CPC | Priority | Notes |
End with next actions, including whether to run keyword clustering, create a content brief, or save the chosen keywords.
Guardrails
- Do not invent metrics. If OpenSEO does not return a value, write
unknown. - Do not call
save_keywordswithout explicit confirmation. - Prefer business-fit and intent-fit over chasing the largest volume term.
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