seo-new-keywords-research
77Prioritize Emerging AI Keywords
New AI releases can attract short-lived searches that obscure lasting keyword opportunities. This skill guides paid research into names, generic terms, demand, and competition.
Find Emerging AI Keywords Worth Researching
New AI launches create search opportunities that are difficult to compare across sources. This skill uses a research CLI to turn discovery signals into keyword priorities.
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
Review the Skillstore skill "new-term-radar" from https://skillstore.io/skills/zhuyansen-new-term-radar.md and its manifest at https://skillstore.io/api/skills/zhuyansen-new-term-radar/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
„new-term-radar“ wird verwendet. Summarize a first daily run that reports GitHub breakouts but few other leads.
Erwartetes Ergebnis:
„new-term-radar“ wird verwendet. Explain a supplied keyword row marked watch, demoted, and crowded.
Erwartetes Ergebnis:
„new-term-radar“ wird verwendet. Explain a flat trend row without country-level data when a related-search source also failed.
Erwartetes Ergebnis:
All 50 static findings are false positives involving Markdown formatting, ordinary authentication requirements, public reference links, and unrelated prose. The instructions require paid-run approval and treat external content as untrusted; no evidence found of credential theft, destructive intent, or prompt injection. This review covers SKILL.md only, not the external PyPI package or its dependencies.
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/zhuyansen-new-term-radar?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/zhuyansen-new-term-radar?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhuyansen-new-term-radar/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/zhuyansen-new-term-radar.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>zhuyansen. (2026). new-term-radar security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3@techreport{zhuyansen-zhuyansen-new-term-radar-2026,
author = {zhuyansen},
title = {new-term-radar security audit report (audit version 3)},
institution = {Skillstore},
year = {2026},
number = {3},
url = {https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "new-term-radar security audit report (audit version 3)"
version: "unspecified"
type: report
authors:
- name: "zhuyansen"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3"
identifiers:
- type: other
value: "skillstore:zhuyansen-new-term-radar:audit:3"
description: "Skillstore immutable audit report identifier"
Compare emerging names and generic queries to decide which pages deserve research, monitoring, or no further work.
Review complaint categories and linked evidence to identify problems that a new or improved tool might address.
Track new model and repository names, then separate early attention from sustained search interest using source and trend evidence.
Find today's new AI names and summarize their strongest signals. Show the estimated cost and duration, then wait for my approval before running.
Research PhotoCraft and SynthID Detector without discovery. Confirm the estimated cost first, then compare named and generic keywords with decisions and evidence.
Investigate complaints about AI headshot tools. Ask for cost approval first, then group gaps with linked quotes and distinguish observed counts from market size.
Use my configured sites and sources to evaluate emerging AI keywords. Confirm costs before running. Compare markets, competition, existing pages, and missing-source caveats.
Autor
zhuyansenLizenz
MIT
Skillstore-Revision
r3
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
2ec268972a6be25768f84279fde605b246c33d68
Aktualität der Wartung
28.10.2026
Nutzung
6 Downloads · 1 Aufrufe
Dateistruktur
📄 SKILL.md
Prioritize Emerging AI Keywords
New AI releases can attract short-lived searches that obscure lasting keyword opportunities. This skill guides paid research into names, generic terms, demand, and competition.
Track New AI Names Across Daily Sources
New AI names appear across separate feeds, making daily discovery difficult. This skill guides new-term-radar collection and organizes deduplicated names with supporting evidence.
Evaluate Backlinks and Track Listing Quality
Poor backlink sources can waste outreach time and create link-spam risks. This skill guides evidence-based research, source vetting, and ongoing verification through the backlink-guard CLI.
Compare Competitor Traffic and SEO
Competitor traffic data can be difficult to compare across sources. This skill gathers paid traffic and SEO estimates into a comparison and identifies growth opportunities.
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