Nexscope Ozon Russia single SKU daily time-series performance. Returns daily sales units, price, stock, rating, and optionally search position/visibility data for one Ozon product by date granularity. Use for validating growth trends, seasonality, and anomaly detection. Trigger when the user mentions Ozon trend, Ozon sales trend, Ozon price trend, Ozon daily data, Ozon stock trend, Ozon search ranking, Ozon product history, Nexscope trend, Ozon daily performance, Ozon time series, Ozon search visibility, Russian marketplace product history. Also trigger when the intent is to view the daily/period trend of an Ozon product, even without explicitly mentioning Nexscope.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Nexscope Ozon product report search: filters Ozon products by multi-dimensional metrics including sales, revenue, sales/revenue growth rate, cart conversion rate, order conversion rate, price, rating, review count, QA count, variant count, page views, gross margin, return/cancellation rate, ad spend share, weight/volume, listing time, brand, seller, fulfillment method, and labels. Returns each product's SKU, title, price (RUB), sales, revenue, lost revenue, conversion rate, rating, reviews, brand, seller, fulfillment method, listing days/months, and complete product report fields. Use for Ozon product selection, competitor product analysis, best-seller mining, price/conversion band filtering. Trigger when the user mentions Ozon product report, Ozon product selection, Ozon product filtering, Ozon product analysis, Ozon best-selling products, Ozon competitor product analysis, Ozon product report, Ozon product screener, filter Ozon products by sales, Ozon best-seller mining, Nexscope Ozon product report. Also trigger when the intent is to filter Ozon products by multiple metrics and view product-level reports, even without explicitly mentioning Nexscope.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Use Nexscope data to find and analyze competitors on Amazon, covering 12 marketplaces, with product metrics including sales, BSR, pricing, ratings, and growth trends. Trigger when the user mentions competitor lookup, competitor analysis, ASIN reverse lookup, competitive product research, finding similar products, market competitor discovery, product benchmarking, competitor sales estimation, analyzing competitor listings, competitor analysis, ASIN reverse lookup, competitor sales, competitor research, Nexscope, market competitor discovery, competitor trends. Even if the user does not explicitly mention "Nexscope" or "competitor lookup", if their need involves discovering and analyzing Amazon competitors by ASIN, keyword, seller name, brand, or category, this skill should also be triggered.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Amazon reverse product selection: filter Amazon niches and keywords by 30+ business dimensions (market size & growth, price tiers & share, competition density & top concentration, demographics such as age/gender/income, review highlights & pain points) from a metrics pool aggregated from historical business insight reports. Trigger when users mention reverse product selection, metrics filtering, niche reverse lookup, blue ocean niche discovery, low-competition niche, newcomer-friendly niche, brand-fragmented market, pain-point entry, feature reverse lookup, pricing tier opportunity, demographic-based selection, or similar terms. Even if the user does not explicitly say "reverse product selection," trigger this skill whenever the request involves filtering Amazon niches that match specific business criteria.
日本語の概要は準備中です。原文の説明を表示しています。
nexscope-ai/nexscope-ecommerce-skills☆ 892026年10月9日 更新
Gingiris growth toolkit 主入口。当用户问"怎么做增长"、"怎么发 PH"、"SEO 掉了"、"写篇博客"、"分析对手"等出海增长问题时调用。 根据问题类型自动路由到对应子 skill(gr-seo-patrol / gr-blog-post / gr-ph-launch 等)。
日本語の概要は準備中です。原文の説明を表示しています。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
First AI Product Launch — Zero to Live in 30 Days. Step-by-step guide for shipping your first AI product from idea validation to paying customers. Includes day-by-day timeline and real examples. By @WeiYipei.
日本語の概要は準備中です。原文の説明を表示しています。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Design and execute a 14-day GitHub repository growth sprint using README conversion, competitor-window research, Reddit, Hacker News, launch directories, community activation, and contributor loops. Use when launching an open-source repository, diagnosing weak star conversion, or building sustained GitHub discovery without buying stars.
日本語の概要は準備中です。原文の説明を表示しています。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Twitter/X Agent Operations SOP v2 — Rebuilt from real dual-account operations. Real data: • CN account: grew from 1,150 → 3,679 followers (~14 months), 1 tweet/day, OAuth1 direct post • EN account: Buffer API • Real incidents: cron silent-failed for 2 weeks unnoticed, analytics data off by 17×, thread performance worse than single posts What's new in v2: • Step-by-step onboarding (Q1→Q6), multiple choice wherever possible — no big forms • Mandatory daily log after every tweet + weekly report every Monday • Pre-publish safety checklist (agent must pass before posting) • Content pool tracker (used/unused) + alert when ≤3 items remain • Dual-account credential separation (CN: OAuth1 / EN: Buffer API) • MASTER-STATUS.md as the single source of truth — read + write every session 🇨🇳 Twitter/X Agent 运营 SOP v2 — 基于真实双账号运营经验重写。 开局对话式收集 context、强制日报+周报、发推前红线自检、素材库追踪、双账号凭证分离、MASTER-STATUS.md 单一真相来源。 真实数据:中文账号从 1,150 粉增长至 3,679 粉(约14个月),1条/天。 Triggers: "twitter运营" | "推特agent" | "发推SOP" | "AI代运营" | "推文日报" | "素材库" | "Buffer API" | "OAuth1发推" | "twitter automation" | "tweet sop" | "推特涨粉"
日本語の概要は準備中です。原文の説明を表示しています。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Complete B2B marketing pipeline combining LinkedIn content, cold email sequences, and webinar funnels. Designed for SaaS founders doing $0–$1M ARR who need predictable lead generation. By @WeiYipei.
日本語の概要は準備中です。原文の説明を表示しています。
Gingiris-1031/gingiris-skills☆ 842026年10月8日 更新
Investment screener with pre-built strategies (Dividend Growth, 3-Fund Index, Bond Allocation, REITs, International Diversification, ESG) and custom criteria support. Returns curated ticker lists, allocation models, expected returns, expense ratios, and a recommended portfolio with rebalancing notes. Output saved as FINANCE-SCREEN.md.
日本語の概要は準備中です。原文の説明を表示しています。
zubair-trabzada/ai-finance-claude☆ 782026年5月13日 更新
Kontextspezifische Marketinghypothesen entwickeln, vorprüfen und als messbare Experimente priorisieren. Nutze diesen Skill, wenn Ideen für Kanäle, Kampagnen, Angebote oder Wachstum gesucht werden, wenn eine Ideenliste auf Risiko und Machbarkeit geprüft werden soll, oder wenn aus Vorschlägen Experimentsteckbriefe mit Metrik, Laufzeit, Budget und Stopkriterium werden sollen. Sortiert vor der Bewertung aus, was rechtlich, plattformseitig oder finanziell nicht tragbar ist, und trennt Evidenz von Vermutung. Führt keine Kampagne aus und schaltet keine Anzeigen.
日本語の概要は準備中です。原文の説明を表示しています。
LOGIN-TB/claude-skills☆ 782026年9月18日 更新
Decompose and explain healthcare cost growth into contributing factors including utilization changes, unit price shifts, case mix evolution, and population changes. Use when analyzing PMPM cost trends, explaining cost variance to leadership, preparing actuarial summaries, or identifying cost reduction opportunities.
日本語の概要は準備中です。原文の説明を表示しています。
FDU-INS/Insurance-Skills☆ 762026年7月12日 更新
Build or audit a financial model — 3-statement model (P&L, cash flow, balance sheet), scenario analysis, and sensitivity tables. Use when asked to "build a financial model", "model our growth scenarios", or "what happens to runway if we hire 5 people".
日本語の概要は準備中です。原文の説明を表示しています。
tonone-ai/tonone☆ 762026年10月5日 更新
Product analyst — metrics architecture, funnel analysis, A/B test design, retention, and growth measurement. Use when asked to "design an A/B test", "analyze the funnel", "define a north star metric", or "measure retention".
日本語の概要は準備中です。原文の説明を表示しています。
tonone-ai/tonone☆ 762026年10月5日 更新
Customer Success engineer — onboarding optimization, health scoring, expansion revenue, churn prevention, and NRR growth. Use when asked to "improve onboarding", "score account health", "prevent churn", or "grow NRR".
日本語の概要は準備中です。原文の説明を表示しています。
tonone-ai/tonone☆ 762026年10月5日 更新
Expert guide for Feature Flags & Progressive Rollout (PostHog, LaunchDarkly, GrowthBook), A/B testing orchestration, and canary releases / Panduan ahli Feature Flags, A/B testing, dan rilis bertahap.
日本語の概要は準備中です。原文の説明を表示しています。
roedyrustam/vibes-plug☆ 752026年10月9日 更新
Mindset theory, implicit theories of intelligence, and motivation research applied to learning. Covers fixed vs. growth mindset, the difference between process praise and ability praise, the "not yet" intervention, attribution patterns after failure, mindset critiques and the replication record, and the integration of mindset work with self-determination theory (autonomy, competence, relatedness). Use when a learner is stuck on motivation, disengaging after failure, or when a curriculum's feedback language is undermining persistence.
日本語の概要は準備中です。原文の説明を表示しています。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
Analysis of aggregate economic phenomena -- GDP measurement, inflation dynamics, unemployment theory, monetary policy (central banks, interest rates, money supply), fiscal policy (government spending, taxation, debt), and the business cycle. Covers Keynesian, monetarist, and new classical perspectives. Use when analyzing national or global economic conditions, policy debates, economic growth, recessions, or the interaction between monetary and fiscal authorities.
日本語の概要は準備中です。原文の説明を表示しています。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
Stellar spectral analysis from first light to chemical abundance. Covers continuum emission and absorption, the OBAFGKM classification sequence, luminosity classes, line identification, Doppler shifts, curve-of-growth abundance analysis, and the astrophysical conclusions that follow from a spectrum. Use when classifying a star, measuring radial velocity, inferring composition or temperature, or teaching why the Sun is mostly hydrogen.
日本語の概要は準備中です。原文の説明を表示しています。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
OpenStack capacity planning operations skill for resource planning, quota management, and scaling decisions. Covers compute capacity (allocation ratios, vCPU/RAM utilization, host aggregates, availability zones), storage capacity (Cinder pool sizing, thin provisioning, Glance storage, Swift rings), network capacity (floating IP pools, port quotas, subnet sizing), project quota management (templates for small/medium/large profiles), flavor sizing strategy, utilization analysis with placement service, growth forecasting from historical metrics, and right-sizing recommendations for underutilized resources.
日本語の概要は準備中です。原文の説明を表示しています。
Tibsfox/gsd-skill-creator☆ 712026年7月20日 更新
账号被限流/异常/担心操作触发风控/需要恢复时用:先自检from:@用户名搜不到即限流→区分临时标签(等24h不动账号)与正式标签(写申诉邮件+48h不操作)→复盘触发原因预防复发。Trigger:"推文搜不到了""被限流了""账号异常""触发风控""临时标签""怎么申诉""shadowbanned""account suspended""appeal suspension""tweets not showing up"。不适用:正常发内容没出问题(→内容创作skill)、新号开业装修养号(→x-account-setup)、没粉丝怎么起量(→x-cold-start-playbook)。
日本語の概要は準備中です。原文の説明を表示しています。
kangarooking/X-growth-skills☆ 702026年7月14日 更新
发帖前自检"这条内容帮读者省了几步路"时使用;用户问"值不值得发/有没有价值/该不该发这条"时激活。不适用于:已决定要发只需检查结构完备性(用 x-five-piece-checklist)、需要分类内容原型(用 x-content-archetypes)、需要改写表达方式(用 x-three-translations)。Trigger 词:"值不值得发""省了几步""内容价值""worth posting""content value""should I post this""save steps"。
日本語の概要は準備中です。原文の説明を表示しています。
kangarooking/X-growth-skills☆ 702026年7月14日 更新
用户想理解X推荐机制/为什么帖子被推荐或不被推荐/小号能不能被推荐时使用。触发词: For You算法, 推荐机制, OON, 为什么没流量, 小号能起吗, algorithm, recommendation, why no impressions。不用于: 纯写内容不问机制/心态焦虑"帖子没爆怎么办"(那是longtail-strategy)/怎么互动获曝光(那是comment-engagement)。
日本語の概要は準備中です。原文の説明を表示しています。
kangarooking/X-growth-skills☆ 702026年7月14日 更新
用户写完推文初稿、准备发布前做完备性自检时;或纠结"这条推文发出去会有人收藏吗 / 值得收藏吗"时;或感觉初稿"差点什么"但说不清缺什么时。关键 trigger: 检查推文还缺什么 / 五件套 / 完备性检查 / 收藏理由 / 证据够不够 / 三个可 / checklist / is this tweet complete / worth saving。不适用于:还没写初稿时(先用起草工具);评估值不值得发(那是四省模型)。本 skill 把推文当小型信息产品逐件自检五要素:价值承诺 / 使用场景 / 低门槛入口 / 证据(三个可:可见可点可算)/ 收藏理由,缺任一件读者在该环节流失。
日本語の概要は準備中です。原文の説明を表示しています。
kangarooking/X-growth-skills☆ 702026年7月14日 更新