「rag」の検索結果

Public entry point for native device capabilities and native controls — camera, image picker, barcode/QR scanner, document picker, file picker, secure storage, file system, sharing, haptic feedback, PDF generation/viewing, pen/signature capture, background GPS/geolocation tracking, or supported local file workflows — in a Power Apps mobile app. Also owns routing to internal camera/PDF/pen/geolocation implementation helpers and the guidance boundary between native wrappers and Dataverse File/Image host controls.

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。

Work with the Upstash Redis JavaScript/TypeScript SDK for serverless Redis operations. Use for caching, session storage, rate limiting, leaderboards, full-text search (querying, filtering, aggregating with @upstash/redis search extension), and all Redis data structures. Supports automatic serialization/deserialization of JavaScript types. Search also available via @upstash/search-redis and @upstash/search-ioredis adapters for TCP clients.

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。

为 Seedance 2.0（Higgsfield）生成食品和饮料视频提示。在用户想要食品视频、食谱内容、餐厅宣传、饮料广告、烹饪视频、食品 ASMR、菜单展示、食品配送广告、咖啡馆内容或任何食品/饮料视频时使用。在以下情况下触发：食品视频、食谱、烹饪、餐厅、饮料、食品广告、食品 ASMR、菜单、咖啡馆、鸡尾酒、食品摄影视频、开胃吸引力、食品造型、美食直播或任何食品/饮料视频请求。即使是"让我的食物看起来美味"或"餐厅宣传视频"也适用。

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。

Plan and execute off-page SEO including link building, digital PR, brand mentions, citation building, and external authority signals. Use this skill whenever the user wants to build backlinks, plan a digital PR campaign, list local citations, run guest post outreach, develop linkable assets, recover lost links, or audit a backlink profile for risk. Triggers on link building, backlinks, digital PR, brand mentions, citation building, guest post, outreach, linkable asset, broken link building, HARO, podcast outreach, off-page SEO, anchor text, link velocity, toxic backlinks, disavow. Also triggers when the user is trying to grow domain authority or earn coverage.

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Audit content gaps and decay using Ahrefs MCP data: missing topics, thin coverage, outdated content, and decaying pages. Use this skill when planning a content roadmap, refreshing a stale catalog, building topical authority, or identifying which existing pages need update versus replacement. Triggers on content gap, content audit, content refresh, content roadmap, decaying content, content decay, topical authority, what topics should we cover, where is competitor content stronger. Also triggers when organic traffic is flat despite consistent publishing.

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。

Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product decisions. The triage discipline that distinguishes loudest-voice (whoever complains most wins) from averaged-noise (every signal weighted equally) from triaged-synthesis (signal weighted by source quality, frequency, and decision relevance). Triggers on user feedback, customer feedback aggregation, NPS, support ticket analysis, customer councils, feedback synthesis, voice of customer, feedback triage, in-app feedback. Also triggers when feedback channels overflow with volume that does not produce decisions, when the loudest-voice problem is steering roadmap, or when continuous feedback streams need synthesis discipline.

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。

Plan and run a media pipeline for images, video, and downloadable assets. Use this skill when designing image storage and delivery, choosing formats (WebP, AVIF), setting up responsive images, picking a video host, organizing a brand asset library, or auditing a slow image pipeline. Triggers on image pipeline, asset library, DAM, image optimization, WebP, AVIF, responsive images, video hosting, image CDN, asset workflow, media management. Also triggers when images are slow, broken, or scattered across systems.

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。

How to author a content brief that actually guides a writer (human or AI) to produce a piece that ranks, converts, or both. Per-piece editorial brief: target keyword and cluster, search intent, audience and JTBD, heading structure, entity coverage for AEO/GEO, internal linking strategy, success criteria. The middle path between thin briefs (a keyword and a deadline) and thick briefs (a 4-page document nobody reads). Triggers on content brief, brief the writer, brief the article, brief authoring, content brief template, brief audit, per-piece brief, editorial brief, target keyword brief, search intent brief. Also triggers when briefing a human writer or an AI agent on a single content piece.

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。

Iterative measurement-driven improvement loop. Measure, profile, mutate, re-measure, commit. Works for performance, bundle size, complexity, test coverage — anything quantifiable. Use when the user wants to systematically improve a metric through repeated cycles of profiling and targeted changes.

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。

Write engaging PR titles and descriptions for any forge (GitHub today; Bitbucket planned). Use when creating or updating PRs. Leads with narrative paragraphs and reaches for lists, tables, and diagrams when content is genuinely structured.

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。

Design, review, and validate Google Cloud (GCP) architectures. Use when choosing GCP compute, storage, networking, or identity services, or applying the Google Cloud Architecture Framework (reliability, security, cost, performance).

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。

Systematic PR review with blast-radius analysis, security scanning, and breaking-change and test-coverage deltas. Use when reviewing PRs that touch shared libraries, APIs, database schemas, auth, or security-sensitive code.

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。

Multi-agent source security audit with a coverage ledger, independently verified findings, and machine-checked records. Use when asked to audit a codebase, find vulnerabilities, or run a source-level pen test.

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 when the user asks to "build a mobile app", "scaffold React Native project", "create SwiftUI views", "set up Jetpack Compose", "optimize mobile performance", "configure Expo Router navigation", "implement offline-first storage", "submit to App Store", or "profile mobile rendering". Expert mobile development covering iOS (Swift/SwiftUI), Android (Kotlin/Compose), React Native, and Flutter for native and cross-platform applications.

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。

Prompt engineering and LLM evaluation. Use when optimizing prompts, designing prompt templates, evaluating LLM outputs, building agentic systems, implementing RAG, creating few- shot examples, or designing structured-output workflows.

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。

Testing for React/Next.js with Jest, React Testing Library, and Playwright. Use when generating tests, writing unit tests, analyzing coverage, scaffolding E2E tests, configuring Jest, or improving test quality.

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。

Design, review, and validate Azure cloud architectures. Use when choosing Azure compute, storage, networking, or identity services, or applying the Azure Well-Architected Framework to a workload.

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。

Cloud posture security across AWS, Azure, and GCP — IAM least privilege, public exposure, encryption, logging coverage, landing-zone guardrails. Use when auditing a cloud account, before a production launch, or after a scan.

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。

Generate API test suites from route definitions across frameworks: auth, input validation, contract, k6 load testing, mocking, and OpenAPI-driven generation. Use when adding new APIs, auditing test coverage, or building regression suites.

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。

Context management engine for AI coding agents. Use when building agent memory systems, optimizing context windows, allocating token budgets, designing RAG pipelines for code, or managing persistent multi-session agent state.

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。

Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization

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。

Analyzes RFP responses for coverage gaps, builds competitive feature matrices, and plans proof-of-concept engagements for pre-sales engineering

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。

Cut software and services spend through seat-utilisation analysis, redundant-tool detection, and renewal-timing leverage. Use when auditing SaaS spend, preparing a renewal negotiation, or hunting a budget-reduction target.

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。

Fully automated review pipeline: CEO, Design, and Eng reviews with auto-decisions using 6 principles (completeness, boil lakes, pragmatic, DRY, explicit over clever, bias toward action). Only pauses for premise confirmation. Classifies decisions as Mechanical (silent) or Taste (surfaced at final gate).

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。