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概要と使いどころ
Implements and reviews mobile identity and session flows across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for sign-in, passkeys, account recovery, provider linking, reauthentication, logout and concurrent refresh. Security audits belong to mobile-security; account deletion belongs to mobile-privacy.
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。
Implements and reviews push and local notification lifecycles across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for FCM/APNs or Expo delivery, token rotation, notification permissions and channels, account bindings, duplicate messages and cold-start tap navigation. Git push and observability alerts are outside this skill.
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。
Implements and reviews mobile data privacy across Flutter, Android, iOS, React Native and Kotlin Multiplatform. Use for consent withdrawal, SDK collection controls, account and data deletion, retention, privacy manifests or store data disclosures. Covers the app and backend handoff; security exploits belong to mobile-security.
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。
Author and validate nvoos-chart fenced-JSON chart blocks for NV oOS chat surfaces — 29 chart types across distribution, part-to-whole, ranking, change, special and grid families. Covers type selection, the v2 schema (values/series/data.items, mode, sort, direction, unit, animate, table, target), data-shape rules, the create_chart_fence server validator, the a11y checklist, and copy-paste JSON templates. Use when writing chart fences in assistant responses, choosing a chart type for data, validating chart JSON, or deciding between nvoos-chart, create_chart, generate_chart and generate_mermaid.
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。
Operational guide for the three recurring NV oOS maintenance tracks: (1) Docs & Release Catch-Up — plan-first per-version docs, changelog, and version-bump passes; (2) Model Catalog & Config Updates — the monthly model-config refresh across the catalog and its derived files; (3) PR Deferred-Item Sweep — review merged/closed PRs for deferred work and file GitHub issues for what is still incomplete. Use when asked to 'catch up docs', 'update the model configs', or 'review the week's PRs for deferred 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。
Use WooCommerce's customer and session APIs correctly — WC ships its own session handler (WC_Session_Handler, single wp_woocommerce_sessions table for both guests and logged-in users) and its own customer object (WC_Customer via WC()->customer), separate from $_SESSION / native PHP sessions / wp_get_current_user. AI consistently reaches for $_SESSION (breaks with page caching, setcookie (no signing, no namespacing), or user_meta for guests (impossible). The correct path is WC()->session->set/get for ephemeral per-visitor data, WC()->customer->get_billing_* for the active customer context including guests, and new WC_Customer($user_id) for one-off loads. Important — WC()->session is auto-initialized only on frontend requests (incl. admin-ajax); REST, cron, and WP-CLI must call wc_load_cart() explicitly. Use when storing per-visitor state, reading the current visitor's billing data, or debugging session loss across page caches / REST / cron. Triggers on WC_Session, WC_Session_Handler,...
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。
AI-powered design intelligence with 67 UI styles, 161 color palettes, 57 font pairings, 99 UX guidelines, and 25 chart types across 15+ tech stacks. Generates complete design systems for any product type with industry-specific reasoning rules.
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。
Google Calendar skill for managing calendars, events, and free/busy queries via the gws CLI. Covers creating, updating, listing, and deleting events across multiple calendars.
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。
Define product photography standards for e-commerce — shot types, composition, lighting, consistency rules, AI-assisted generation, and platform-specific variants. Covers the full product imagery pipeline from concept to published asset. Use when you need to plan product photoshoots, create photography briefs, set image standards for an e-commerce catalog, generate AI product lifestyle shots, or ensure visual consistency across hundreds of 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。
Create platform-optimized social media content — captions, hashtags, headlines, calls-to-action. Covers tone-of-voice, character limits, hook writing, A/B testing variants, and content repurposing across platforms. Use when writing captions, generating hashtags, crafting hooks, creating A/B test variants, adapting content per platform, or setting up an editorial voice.
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。
Examine every existing page on the site, build a semantic map across pillars, and add missing internal links so the site becomes a semantic graph anchored on clear topical pillars. Use this skill whenever the user asks to "add internal links", "build internal linking", "build a semantic graph", "link related pages", "strengthen topical authority", "fix orphan pages", "add pillar linking", or wants hub-and-spoke linking between pillars, hubs, and supporting content. Output is an edit list (proposed link insertions) plus optionally direct edits to page source files.
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。
Audit on-page SEO and GEO (generative engine optimization) signals across the site — title tags, meta descriptions, H1/H2/H3 hierarchy, canonical tags, Open Graph, structured data, content length, internal link density, and AI-citation readiness. Use this skill whenever the user asks to "audit SEO", "check metadata", "review titles and descriptions", "check heading structure", "run an SEO audit", "GEO audit", "check schema markup", "find SEO issues", or review any on-page signal affecting organic or AI-search visibility. Output is a prioritized issue list with per-page findings and fixes.
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。
Optimize end-to-end application performance with profiling, observability, and backend/frontend tuning. Use when coordinating performance optimization across the stack.
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。
Semantic + keyword search and connection-discovery across the user's own Apple Notes via the apple-notes MCP server. Use when the user wants to find, recall, or synthesize something from their notes,
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。
Understand audience demographics, preferences, behavior patterns, and engagement quality across Facebook, Instagram, YouTube, and TikTok.
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。
AI-driven data extraction from 55+ Actors across all major platforms. This skill automatically selects the best Actor for your task.
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。
Analyze competitor strategies, content, pricing, ads, and market positioning across Google Maps, Booking.com, Facebook, Instagram, YouTube, and TikTok.
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。
Track engagement metrics, measure campaign ROI, and analyze content performance across Instagram, Facebook, YouTube, and TikTok.
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。
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
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。
Analyze market conditions, geographic opportunities, pricing, consumer behavior, and product validation across Google Maps, Facebook, Instagram, Booking.com, and TripAdvisor.
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。
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
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。
Convert human-written CLAUDE.md into AI-native structured-label format. Battle-tested across 4 models. Same rules, fewer tokens, higher compliance.
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。
Search 8,400+ AI and ML jobs across 489 companies, inspect listings and employers, match roles, and view salary and market stats via AI Dev Jobs MCP
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。
Optimize content for AI search and LLM citations across AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and similar systems. Use when improving AI visibility, answer engine optimization, or citatio
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。