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Found 6,672 Skills
Use when a selective defect needs IS/IS-NOT difference analysis or a consequential option choice needs must/want weighting and adverse-consequence comparison.
Optimize Google Shopping campaigns and product feeds for maximum visibility and ROAS. Feed optimization, bidding strategy, campaign structure, and Performance Max integration.
Used for reverse-engineering stripped Go and Rust binaries, including runtime recognition, pclntab/module data recovery, panic strings extraction, and idiomatic decompilation recovery.
Integrates the Google Interactive Media Ads (IMA) Dynamic Ad Insertion (DAI) SDK into websites, web apps, mobile apps, or TV apps. Use when: - A video player needs to load and play HLS or DASH streams in web apps, Android apps, iOS apps, tvOS apps, Cast (CAF) receivers, or Roku channels. - The app needs to make use of a Google DAI livestream event asset key, or content source CMS ID, video ID for video on demand. Don't use this skill to load and play a VAST or VMAP URL.
Seerfar Ozon 类目商品搜索：按 Ozon 类目 ID 拉取该类目下的商品列表，返回类目级聚合（类目总销量、总销售额、平均价格、平均评分、季节性）与每个商品的销量、价格、评分、评论数、品牌、卖家、配送方式。用于类目选品分析、类目爆品挖掘、类目容量与价格带分析、季节性判断。当用户提到 Ozon 类目商品、Ozon 类目分析、Ozon 类目选品、Ozon 类目爆品、Ozon 类目总销量、Ozon 类目平均价格、Ozon category search, Ozon category products, category best-sellers, category analysis 时触发此技能。即使用户未明确提到"Seerfar"，只要其意图是查看某 Ozon 类目下的商品与类目级汇总数据，也应触发此技能。
Write the go-to-market communication for a chosen segment using Ivan Zamesin's AJTBD / Next Move Theory methodology. Input — a /nmt-craft-value-proposition result (best), a /nmt-product-requirements PRD, a /nmt-market-research result, or a manual segment+Jobs description. Output — ready-to-publish landing-page copy, ad/creative copy built on the seven Job-language formulas, and a GTM/growth plan — channel hypotheses, lead magnets, viral loops, cross-sell / upsell / retention messaging. Everything is communicated through the Big Job (motivation), in concrete success criteria not adjectives, with features as proof not message. Use when the user wants landing copy, ad copy, creatives, channel hypotheses, or a launch plan — "write the landing / the copy / the go-to-market". Two modes — Quick (default, no internet) and Deep (subagents + web for real review language). Plain language; defaults to English.
Audit runtime controls for tool permissions, approvals, memory, telemetry, evals, rollout, and containment. Use when reviewing tool-bearing agent systems. NOT for security scans, prompt-only work, or static code review.
Fetch a company/product logo from public sources (Clearbit, og:image, favicon) given a brand name or URL, score candidates (wide-aspect + transparent preferred), and archive the best + runner-ups to ~/.lovstudio/logo-collection/<slug>/. Trigger when the user says "find logo", "找 logo", "抓 logo", "收集 logo", "brand asset", "需要 <brand> 的 logo", or wants logos laid out for a website/PPT/poster.
Keep a long-lived project's documentation from rotting by assigning existing project docs clear constitution, map, status, and history roles, then wiring the active agent harness to those canonical sources. Use in the maintain phase when docs drift from code, agents lose context between sessions, or intentional removals keep being recreated. Prefer adopting the repository's current docs structure over creating new root files. 中文触发：文档治理、活文档、项目状态追踪、防文档漂移、项目地图、健康仪表盘、删除区、长期项目治理
Plan, build, and optimize Google Ads campaigns — Search, Shopping, Performance Max, Display, and YouTube — including keyword research, match types, bidding strategy, Quality Score, ad extensions, conversion tracking, and ROAS optimization. Use when the user says "Google Ads", "Google advertising", "Google campaign", "search ads", "Google Shopping", "Performance Max", "PMax", "Google Display", "YouTube ads", "keyword targeting", "Google Ads strategy", "Google Ads optimization", "Google Ads account", "Google Ads not working", "search campaign", "Quality Score", "bidding strategy", "Google conversion tracking", or wants to run or improve paid advertising on Google.
Use when implementing Google authentication in a Node.js or Python web application — Google login, OAuth 2.0 flows, verifying Google ID tokens, service account authentication, Application Default Credentials, Google Identity Services, Workload Identity Federation, API keys, or working with google-auth-library (Node.js) or google-auth (Python). Covers ID token verification and security best practices. Triggers - "google auth", "google login", "google sign in", "OAuth 2.0 Google", "google-auth-library", "Sign In with Google", "Google Identity Services", "GIS", "ADC", "Application Default Credentials", "service account", "Google ID token", "verifyIdToken", "GOOGLE_APPLICATION_CREDENTIALS", "Google SSO", "вход через Google", "авторизация Google", "сервисный аккаунт", "проверить ID-токен", "гугл-логин". For end-user web sign-in only, use the google-signin skill instead.
Collect category rankings from TikTok Shop — top products, category, ranking position, sales signals. Use when the user wants to track top-ranked products within a category.