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概要と使いどころ

Expert knowledge for Azure AI Immersive Reader development including best practices, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning read-aloud/translation, storing user prefs, Entra auth setup, JS SDK integration, or language support, and other Azure AI Immersive Reader related development tasks. Not for Azure AI Language (use azure-language-service), Azure AI Speech (use azure-speech), Azure Translator (use azure-translator), Azure AI services (use microsoft-foundry-tools).

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Expert knowledge for Azure Data Share development including troubleshooting, decision making, security, configuration, and deployment. Use when estimating Data Share costs, securing invitations, fixing share errors, configuring datasets, or deploying across regions, and other Azure Data Share related development tasks. Not for Azure Data Box (use azure-data-box-family), Azure Data Explorer (use azure-data-explorer), Azure Data Factory (use azure-data-factory), Azure Open Datasets (use azure-open-datasets).

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Expert knowledge for Azure AI Vision development including decision making, limits & quotas, configuration, integrations & coding patterns, and deployment. Use when using Image Analysis, Read OCR containers, smart-crop thumbnails, background removal, or video frame analysis, and other Azure AI Vision related development tasks. Not for Azure AI Custom Vision (use azure-custom-vision), Azure AI Video Indexer (use azure-video-indexer), Azure AI Document Intelligence (use azure-document-intelligence), Azure AI Immersive Reader (use azure-immersive-reader).

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Expert guidance for designing Azure solutions using Azure Architecture. Covers reference architectures, solution ideas, design patterns, technology choices, architecture styles, best practices, anti-patterns, example workloads, and migration guides. Use when designing AKS/microservices, hybrid/Arc, SAP or mainframe migrations, IoT/Edge, or mission-critical BCDR, and other Azure Architecture related development tasks.

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Expert knowledge for Azure Bastion development including best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when configuring Bastion for AKS private clusters, VM scale sets, Entra ID auth, hub/spoke VNets, or IP-based cross-VNet access, and other Azure Bastion related development tasks. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure VPN Gateway (use azure-vpn-gateway), Azure Firewall (use azure-firewall).

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Expert knowledge for Azure Container Apps development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using ACA auth, private networking, KEDA/Dapr scaling, GitHub Actions CI/CD, or Java microservices, and other Azure Container Apps related development tasks. Not for Azure Container Instances (use azure-container-instances), Azure App Service (use azure-app-service), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Spring Apps (use azure-spring-apps).

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。

MicrosoftDocs/Agent-Skills7822026年10月11日 更新

Execution-gap audit - cross-references the startup idea backlog against shipped skills, prototypes, and cross-repo PRs, surfacing the top 3 ideas to build next by narrative and operator fit.

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/aeon7762026年10月16日 更新

One-pass crypto read - tracked-protocol positions and health plus macro context, with regime take, DeFi verdict, biggest movers, yields, fees, breadth, Fear & Greed, and prediction 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。

aeonfun/aeon7762026年10月16日 更新

last30

無料

Cross-platform social research - narrative-first intelligence on what people are saying about a topic across Reddit, X, HN, Polymarket, and the web over the last 30 days

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/aeon7762026年10月16日 更新

changelog

無料

Generate a user-facing changelog from recent commits/PRs across watched repos - write it in-repo (Keep a Changelog format) or open a cross-repo changelog PR on a docs/marketing repo.

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/aeon7762026年10月16日 更新

Build a brand's messaging hierarchy — taglines, value propositions, key messages, and proof points for each audience. Use when the user says "brand messaging", "messaging framework", "value proposition", "tagline", "brand tagline", "key messages", "messaging hierarchy", "what should we say about our brand", "brand copy foundation", "messaging architecture", "elevator pitch", "one-liner", "brand statement", or needs consistent language across all communications. Also use when messaging feels inconsistent across channels or teams.

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。

arnabbagxd/Brand-building-skills7572026年6月13日 更新

Applies Steve Blank's Customer Development methodology from The Four Steps to the Epiphany. Use when a startup is searching for customers and a business model before scaling. Covers Customer Discovery, Customer Validation, Customer Creation, and Company Building. Triggers include 'we built it but no one's buying', 'should we hire salespeople yet', 'how do we find our first customers', 'we're burning cash and sales aren't scaling', 'are we in a new or existing market', 'when do we scale'. NOT for companies that have already crossed the chasm into mainstream (use Crossing the Chasm instead), not for optimizing an existing sales funnel, not for product development methodology (this is its companion, not replacement).

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-playbook7542026年10月7日 更新

Applies Geoffrey Moore's chasm-crossing strategy for B2B tech products moving from visionary early adopters to pragmatist mainstream. Use when a product has early traction but stalls before mainstream adoption, when planning a beachhead/niche strategy, when designing whole-product offerings, when positioning against established competitors, or when scaling from innovator usage to industry standard. Triggers include 'stuck between early adopters and mainstream', 'we need a beachhead', 'pragmatist customers won't buy', 'how do we go from 10 to 1000 customers'. NOT for PLG/freemium SaaS (Slack, Notion, Cursor), pure consumer apps, two-sided marketplaces, or AI-native products with bottoms-up viral adoption - their dynamics break the visionary-to-pragmatist sequence.

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-playbook7542026年10月7日 更新

Use when the user mentions GPT Image 2.0 or GPT Image 2.5, gpt-image-2, gpt-image-2.5, gpt_image_2_5, GPT-Image-2 prompts, the Flare / Sunburst variants, a transparent-background image, or wants to generate an image with GPT Image 2.0 or 2.5. Covers when to prefer GPT Image 2.5 over 2.0 (transparent background, xhigh/max quality, extra aspect ratios — from platform and OpenAI facts), the CLI-vs-MCP disagreement on gpt_image_2, the three-format prompt taxonomy (Format A structured JSON for UI mockups and layout-dense images; Format B dense cinematic prose for single-subject scenes; Format C auto-derive meta-prompt for theme-only concepts), per-format craft patterns, output conventions, the 6-item pre-delivery checklist, and cross-surface workflow context (companion static-ads-workflow.md for ad recreation; higgsfield-marketing-studio cross-surface-workflow.md §3 for ms_image / DTC Ads Higgsfield-native alternative).

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。

OSideMedia/higgsfield-ai-prompt-skill7502026年9月27日 更新

Take 1 blog post or article and generate 15-30 platform-native micro-content pieces. Not reformatting — re-contextualizing for each platform's culture. Triggers on: "atomize this content", "repurpose my blog post", "turn this into social posts", "content atomizer", "pillar content", "one to many content", "repurpose content", "multiply my content", "content explosion", "turn article into posts", "break down this article", "micro content from blog", "content pillar strategy", "10x my content", "platform-native content", "atomize", "content multiplication".

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。

Affitor/affiliate-skills7222026年10月13日 更新

Optimize signup and registration conversion funnels. Use when asked to improve signup rates, reduce form abandonment, audit registration flows, or optimize conversion funnels. Trigger phrases: "signup optimization", "registration flow", "form conversion", "signup CRO", "reduce abandonment", "signup funnel", "form optimization", "conversion rate optimization", "registration 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。

OpenClaudia/openclaudia-skills7172026年10月11日 更新

Audit EVERY Google Search Console property at once — rank all sites by clicks and impressions with period-over-period deltas, then diff keywords per site to surface what is newly ranking, rising, dropping, lost, or ranking well without earning clicks. Built for agencies and multi-site owners. Use when asked to compare all sites, rank properties by traffic, find new keywords across a portfolio, or spot which site is down. Trigger phrases: "audit GSC", "all my sites", "rank my properties", "portfolio search performance", "which sites are down", "what new keywords are we ranking for", "client site performance", "GSC report across accounts". For ONE site's queries, pages, or index coverage, use the search-console skill instead.

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。

OpenClaudia/openclaudia-skills7172026年10月11日 更新

Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls. Use when users request renaming identifiers, replacing deprecated code patterns, updating method calls, or making consistent changes across multiple locations.

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。

mhattingpete/claude-skills-marketplace6832026年7月25日 更新

Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".

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。

Ar9av/PaperOrchestra6822026年10月12日 更新

Your finance brain trust and decision partner. Named personas across 7 cells: valuation/corporate finance, investing, accounting/FP&A, macro, fintech, behavioral, and capital markets/M&A/private. Markets/quant/derivatives are reserved for…

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。

coco-research/coco6792026年10月16日 更新

goal

無料

Persistent project goal that survives across sessions and tools, with continuous-execution loop semantics. Use when someone asks to "set a goal", "what is my goal", "goal status", "keep working on X until done", "resume the goal", or wants work to continue across sessions until an objective is achieved. File-backed (.goal.md at project root); shared by every Coco-installed tool working in that repository.

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。

coco-research/coco6792026年10月16日 更新

Route viral topic discovery across platform-specific account-growth skills. Use when the user asks for 起号选题, low-follower viral references, recent viral content, cross-platform topic mining, or does not specify whether to search WeChat, X, Bilibili, or YouTube.

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/kangarooking-skills6742026年9月7日 更新

Gathers knowledge from web and files, cross-references across multiple sources, and produces cited research documents. Use when investigating technologies, patterns, or decisions that need evidence backing.

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。

nWave-ai/nWave6202026年9月16日 更新

Chan doan be mat chuyen doi DANG CHAY nhung khong ra don — phan loai 3 truc (loai trang, muc tieu chuyen doi, nguon traffic), chan doan 7 chieu theo dung thu tu tac dong, output 4 nhom sua trong do co ban thay the cho copy, kem che do hoi quy khi sua xong lai kem hon truoc. Kich hoat khi user nhac 'trang khong ra don', 'toi uu chuyen doi', 'CRO', 'landing page khong convert', 'tang ti le chuyen doi', 'sua xong lai kem hon', 'khach vao nhieu ma khong inbox'. Khong dung cho — xay trang moi tu dau thi dung skill 12-brief-landing-page; nghi ngo ads chu khong phai trang thi dung skill 21-audit-ads-performance; muon kiem chung gia thuyet bang so thi dung skill 19-ab-test-setup.

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。

minhnv0807/ai-business-skills6182026年9月12日 更新