Plan, audit, implement, migrate, or validate localization for multilingual products and websites, including locale scope, market readiness, URL architecture, content coverage, hreflang coordination, rollout, and production verification. Use translation for the actual translation, glossary, and language review work.
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。
kostja94/marketing-skills☆ 1,0332026年10月6日 更新
Deprecated compatibility entry for Commerce Product Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Commerce Product Page.
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。
kostja94/marketing-skills☆ 1,0332026年10月6日 更新
Use when generating or editing video with Grok Imagine models on Scenario via MCP: text-to-video, image-to-video from a first frame, reference-to-video with @image tags for consistent people, products, or clothing, prompt-based editing, extending a clip from its last frame, native audio with lip-synced dialogue and sound effects, or choosing between first-frame and reference conditioning. Keywords: Grok Imagine Video 1.5, R2V, Grok Edit Video, Grok Extend Video, xAI, T2V, I2V, V2V.
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。
scenario-labs/skills☆ 9962026年10月13日 更新
Use when generating or editing video with Runway models on Scenario via MCP: text-to-video or image-to-video from a first frame with Gen4.5 (cinematic motion, sequenced actions, camera choreography), or video-to-video editing of real footage with Aleph 2 (remove objects, swap products, restyle or relight shots, keyframe-pinned reference images, motion and audio preserved). Keywords: Runway ML, Gen4.5, Gen-4.5, Aleph, T2V, I2V, V2V, first frame.
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。
scenario-labs/skills☆ 9962026年10月13日 更新
Designing free-to-paid conversion flows for SaaS products. Trigger moments, paywall design, value demonstration, upsell vs downsell, win-back flows, churn prevention. Honest about paywall-everywhere (gates everything aggressively), free-forever-trap (no upgrade path surfaces), and value-triggered-upgrade (paywall surfaces at moments of demonstrated value) patterns. Triggers on upgrade flow, paywall, free-to-paid, freemium conversion, trial conversion, plan upgrade, subscription upgrade, win-back flow, churn prevention. Also triggers when free-to-paid conversion is low, when paywalls are blocking the wrong moments, or when upgrade flows are being scoped for the first time.
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。
rampstackco/claude-skills☆ 9602026年10月7日 更新
Build or audit a design system including component library, design tokens, naming conventions, contribution model, and documentation. Use this skill whenever the user wants to build a design system, audit an existing system, define design tokens at the system level, structure a component library, or set up design system governance. Triggers on design system, component library, design tokens, atomic design, atoms, molecules, organisms, design system documentation, Storybook, Figma library, system governance, design contribution model. Also triggers when teams are inconsistent across products and a system is the answer.
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。
rampstackco/claude-skills☆ 9602026年10月7日 更新
Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the EU. Use this skill for gap analysis, product classification (Default / Class I / Class II), conformity assessment route selection, CE marking, SBOM requirements, vulnerability and incident reporting to ENISA/CSIRTs, support period obligations, and manufacturer/importer/distributor duties. Trigger for EU CRA, Cyber Resilience Act, PDE compliance, Annex I requirements, SBOM EU, CE marking cybersecurity, or connected product security EU.
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。
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance☆ 9562026年10月10日 更新
Integrates with Atlassian products to manage project tracking and documentation via MCP protocol, including Jira issue management, Confluence page editing, sprint and backlog management.
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。
paperclipai/companies☆ 9202026年3月24日 更新
Product analytics for instrumenting products, defining metrics, and building retention funnels. Use when designing a metric tree, instrumenting a feature, auditing instrumentation, defining a North Star, or building an analytics roadmap.
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。
borghei/Claude-Skills☆ 9052026年10月7日 更新
When the user wants to design, construct, or improve an offer — the thing they actually sell — including value framing, bonus stacking, guarantee design, scarcity/urgency, naming, and payment structure. Also use when the user mentions 'offer,' 'offer design,' 'build an offer,' 'grand slam offer,' 'irresistible offer,' 'value stack,' 'bonus stack,' 'guarantee,' 'risk reversal,' 'money-back guarantee,' 'scarcity,' 'urgency,' 'high-ticket offer,' 'productize a service,' 'naming an offer,' 'payment plan,' 'down-sell,' 'upsell offer,' or 'why isn't my offer converting.' Best for services, agencies, courses, coaching, info products, high-ticket B2B, and direct-response. If you run pure self-serve SaaS, read pricing first — tiers and packaging do more work there. For price level itself (tiers, freemium, value metric), see pricing. For the page that presents the offer, see copywriting. For the launch moment, see launch. For sales collateral, see sales-enablement.
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。
Nexus-JPF/note-companion☆ 8702026年10月13日 更新
One run from signal to decision. Finds the names of new AI models, products and repositories seen in the last 24 hours (X, Hugging Face, GitHub, sitemaps), then builds a keyword priority table for them, each new name and the generic search terms behind it, sized against Google Ads volume and Google Trends, with prioritize, watch or skip. Use when the user wants today's new AI keywords, an AI trend radar, or asks what new AI terms are worth building a page or tool for. Also takes names the user already has. Runs the new-term-radar command line; needs an AISA_API_KEY.
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。
zhuyansen/new-term-radar☆ 8672026年10月13日 更新
Collect what is new in AI in the last 24 hours across X, Hugging Face, GitHub and sitemaps, deduplicated, as one report of names that are starting to surge. Use when the user asks what is new or trending in AI today, wants a daily AI listening report, or needs fresh names of models, products and repositories to feed keyword research. Runs the new-term-radar command line; needs an AISA_API_KEY.
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。
zhuyansen/new-term-radar☆ 8672026年10月13日 更新
Expert EU Cyber Resilience Act (CRA) advisor for Regulation (EU) 2024/2847 — mandatory cybersecurity and vulnerability handling requirements for all products with digital elements (PDEs) sold in the EU. Use this skill for gap analysis, product classification (Default / Class I / Class II), conformity assessment route selection, CE marking, SBOM requirements, vulnerability and incident reporting to ENISA/CSIRTs, support period obligations, and manufacturer/importer/distributor duties. Trigger for EU CRA, Cyber Resilience Act, PDE compliance, Annex I requirements, SBOM EU, CE marking cybersecurity, or connected product security EU.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Assess obligations under Regulation (EU) 2023/2854 for connected products, related services, statutory B2B data sharing, unfair data-contract terms, exceptional-need B2G requests, data-processing-service switching, international governmental access, interoperability, smart contracts, enforcement, and non-EU representatives. Use for Data Act scope analysis, gap assessments, product and service design, request handling, contract review, cloud exit planning, or cross-regulation mapping.
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。
lawve-ai/awesome-legal-skills☆ 8642026年10月3日 更新
Analyze images, video, speech, motion, products, and websites; route local vision, audio, depth, tracking, matting, identity, and restoration models; auto-edit, replicate, enhance, caption, voice, assemble, annotate, validate, and export editable Timeline Studio projects and videos. Use for reference-video remakes, filter and repeated-shot reconstruction, subject-aware reframing, clip splitting, source-time speed curves, Color Wheels grading, ramps and holds, person or product cutout, person or object outline, authorized face swap, shot and timing reconstruction, timeline markers, chapters, beat cues, review notes and ranges, supplied or web-sourced footage, AI video platform selection, cleanup, highlights, product promotion, website walkthroughs, image-to-video assisted edits, optical-flow editing, depth-assisted relighting, grayscale depth-video conversion, depth/2.5D/transition finishing, AI voiceover, subtitles, short-form production, .timeline automation, or editor evaluation.
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。
MartinDelophy/ai-video-editor☆ 8412026年10月13日 更新
Create financial plans for Chinese wealth management clients covering retirement, education, estate, and cash-flow planning. Adapted from the original financial-plan skill for Chinese tax rules, social security, and local financial products. Triggers on "A股财务规划", "理财规划", "financial plan China", "retirement plan China", "财务规划客户", "退休规划", "教育金规划", or "comprehensive financial plan".
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。
jwangkun/claude-for-financial-services-cn☆ 8342026年9月14日 更新
Draft investment proposals for Chinese wealth management clients. Creates structured proposals with investment rationale, product recommendations, and risk disclosures. Adapted from the original investment-proposal skill for A-share products and Chinese regulatory requirements. Triggers on "A股投资建议书", "投资方案", "investment proposal China", "proposal for [client]", "investment recommendation A-share", or "build investment proposal".
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。
jwangkun/claude-for-financial-services-cn☆ 8342026年9月14日 更新
This package implements five methods proposed by Resnik, Schlicker, Jiang, Lin and Wang respectively for measuring semantic similarities among DO terms and gene products. Enrichment analyses including hypergeometric model and gene set enric
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。
bioMate-AI/biomate-bioconductor-kb☆ 7962026年6月21日 更新
The FDA Adverse Event Reporting System (FAERS) is a database used for the spontaneous reporting of adverse events and medication errors related to human drugs and therapeutic biological products. faers pacakge serves as the interface between the FAERS database and R. Furthermore, faers pacakge offers a standardized approach for performing pharmacovigilance analysis.
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。
bioMate-AI/biomate-bioconductor-kb☆ 7962026年6月21日 更新
Business-development radar across your product family - find who's building, forking, integrating, and mentioning your products, ranked into a who-to-talk-to-this-week lead list.
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。
aeonfun/aeon☆ 7732026年10月12日 更新
Deep Amazon review analysis for competitive intelligence and product improvement. Extract sentiment patterns, recurring complaints, feature requests, and competitive insights from customer feedback. Turn reviews into actionable product development and marketing strategies. Use when the user asks about review analysis, customer feedback, product complaints, sentiment analysis, or what customers think about products.
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/Amazon-Skills☆ 7592026年8月26日 更新
Comprehensive Amazon advertising strategy and campaign optimization. Sponsored Products, Sponsored Brands, Sponsored Display campaign management, budget allocation, ACoS optimization, and performance tracking. Use when the user asks about Amazon PPC, advertising strategy, campaign optimization, or Amazon ads management.
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/Amazon-Skills☆ 7592026年8月26日 更新
April Dunford's 10-step positioning methodology for B2B tech products. Use when customers don't understand the product, sales cycles are long because reps must "explain it," prospects compare you to wrong competitors, or you face price pressure despite a good product. Covers competitive alternatives, unique attributes, value themes, target market characteristics, market category (Head to Head / Big Fish Small Pond / New Game), and trend layering.
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。
getagentseal/founder-playbook☆ 7512026年10月7日 更新
Designs irresistible Grand Slam Offers using Alex Hormozi's value equation, obstacle-solution mapping, value-cost trim/stack, and offer-naming patterns. Use when fixing low conversion rates, packaging products, pricing services, designing high-converting offers, or when prospects browse but don't buy. Covers value stacking, guarantees, scarcity, urgency, and pricing psychology for validated markets.
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。
getagentseal/founder-playbook☆ 7512026年10月7日 更新