「best」の検索結果

Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations. Use when: (1) creating a new SKILL.md, (2) initializing a skill directory, (3) packaging a .skill file, (4) improving or iterating on an existing skill, (5) understanding skill best practices and design patterns.

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。

Review UI code for Web Interface Guidelines compliance. Use when asked to "review my UI", "check accessibility", "audit design", "review UX", or "check my site against best practices".

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。

Turborepo monorepo build system guidance. Triggers on: turbo.json, task pipelines, dependsOn, caching, remote cache, the "turbo" CLI, --filter, --affected, CI optimization, environment variables, internal packages, monorepo structure/best practices, and boundaries. Use when user: configures tasks/workflows/pipelines, creates packages, sets up monorepo, shares code between apps, runs changed/affected packages, debugs cache, or has apps/packages directories.

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。

TanStack Form best practices for type-safe form management, validation, field composition, and submission handling in React. Use when building forms with complex validation, integrating schema libraries (Zod/Valibot/ArkType), composing reusable form components, managing array/dynamic fields, or integrating with meta-frameworks (TanStack Start, Next.js, Remix).

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。

Implement web accessibility (a11y) best practices following WCAG guidelines to create inclusive, accessible user interfaces.

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。

TanStack Table best practices for building headless, type-safe data tables in React with sorting, filtering, pagination, row selection, and column management. Use when building data grids, implementing client-side or server-side table features, defining column structures, managing table state, or optimizing table rendering 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。

TanStack Query (React Query) v5 best practices for data fetching, caching, mutations, and server state management. Use when building data-driven React applications, setting up query configurations, implementing mutations/optimistic updates, configuring caching strategies, integrating with SSR, or fixing v4→v5 migration errors.

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。

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

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。

TanStack Router best practices for type-safe routing, file-based routing, data loading, search params, and navigation in React. Use when building React SPAs with complex routing, implementing type-safe search params, setting up route loaders, integrating with TanStack Query, or configuring code splitting and preloading.

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。

TanStack Start full-stack React framework best practices for server functions, middleware, SSR/streaming, SEO, authentication, and deployment. Use when building full-stack React apps with TanStack Start, implementing server functions, configuring SSR/streaming, managing SEO and head tags, setting up authentication patterns, or deploying to Vercel/Cloudflare/Node.

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。

Local SEO audit — "best [cuisine] near me" targeting, Google Business Profile optimization, NAP consistency, citation building, restaurant schema markup

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。

Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidate professors. Also triggers when the user mentions phdtaketaketake or its connection-first philosophy of valuing advisor network over h-index.

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。

Interactively gather parameters for `python -m cli.inference.text_generate`, generate a concrete text generation simulation command, explain assumptions, ask for execution confirmation, then run the command and summarize performance metrics. Use when the user wants to validate a specific model, hardware profile, batch/query size, prefill or decode scenario, TP/DP/EP/MOE parallel strategy, profiling database, chrome trace, empirical metrics export, or a best row produced by throughput_optimizer.

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。

Interactively gather parameters for `python -m cli.inference.throughput_optimizer`, generate a deployment simulation command, explain assumptions, ask for execution confirmation, then run the simulation and summarize the best parallel strategy. Use when the user wants to evaluate a model on one or more hardware profiles, compare hardware targets, compare aggregation versus disaggregation versus PD ratio optimization, choose TP/EP/MOE-DP search ranges, or obtain recommended concurrency, throughput, TTFT, and TPOT results from throughput modeling.

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。

React Native and Expo best practices for building performant mobile apps. Use when building React Native components, optimizing list performance, implementing animations, or working with native modules. Triggers on tasks involving React Native, Expo, mobile performance, or native platform APIs.

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。

When the user wants help with pricing decisions, packaging, monetization strategy, or subscription models. Also use when the user mentions 'pricing', 'price', 'monetization', 'freemium', 'Van Westendorp', 'how much should I charge', 'pricing tiers', 'good-better-best', 'SaaS pricing', 'subscription model', 'free vs paid', 'packaging', 'pricing page', 'annual vs monthly', or is deciding between free and paid models. Make sure to use this whenever someone is making ANY pricing decision — even questions like 'should I charge for this?' or 'is freemium right for us?' or 'my conversion rate is low, is it the price?' are pricing strategy questions. Covers value-based pricing, tier structure, price psychology, and competitor benchmarking.

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。

Three-tier video pipeline: ffmpeg Quick (5s, instant) → ffmpeg Enhanced with Ken Burns (15s, polished) → Remotion Animated (60-90s, production-grade). Takes static slides from Paper MCP or any PNGs and assembles them into platform-ready video. Make sure to use this skill whenever the user has slides, images, or PNGs and wants to turn them into video — even if they just say 'make a video from these', 'animate my slides', 'I have images and need a TikTok', or 'stitch these together'. Also use when they mention ffmpeg video assembly, Remotion-animated slide assembly, Ken Burns effects, or any slides-to-video pipeline. Owns the slides→MP4 assembly pipeline; for writing, debugging, or running `remotion render` on Remotion code itself, see /remotion-best-practices; for screen-recorded product demos, see /marketing-demo. Works with any PNG source — Paper exports, Canva, screenshots, anything.

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。

Brand-grounded Remotion video pipeline. Take a brief, ground it in `brand/` (voice, audience, positioning, creative-kit), write a beat sheet, scaffold a fresh Remotion project, generate any required assets, compose with frame-driven animations, and bake a final MP4. Use this skill whenever the user wants to build a NEW Remotion video from scratch — product films, motion graphics, code-driven shaders, CRT/glitch effects, HTML-in-canvas demos, React video. Triggers on requests like "make a remotion video", CRT/glitch/scanline effects, html-in-canvas demos, video shaders, WebGL video, and frame-driven React video. This is the mktg-native sibling of the personal `/cmo-video` skill: `/cmo-video` recreates the *style* of an existing reference video; `/cmo-remotion` builds something new from a brief. Always load `remotion-best-practices` before stage 5 (compose).

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 wants to generate an image or video via Higgsfield AI. Covers 30+ models: Soul V2, Seedance 2.0, Kling 3.0, Veo 3.1, GPT Image 2, Nano Banana 2. Also covers Marketing Studio — branded ad video/image with avatars and products. Use whenever: "generate an image", "make a video", "animate this photo", "image-to-video", "img2vid", "edit this image with AI", "produce a clip", "create an ad", "make a UGC video", "marketing video", "brand video", "TV spot", "import product from URL", "create avatar for ad", "Seedance", "Kling", "Veo", "Soul gen", "Nano Banana", "Marketing Studio". Chain with higgsfield-soul-id when user wants a reusable face identity. Owns AI-generated "marketing video" / "brand video" / ad creative. NOT for: training a Soul Character (use higgsfield-soul-id), product photoshoots with mode-specific enhancer (use higgsfield-product-photoshoot), text/TTS, screen-recorded product demos (use marketing-demo), slides-to-MP4 assembly (use video-content), Remotion code (use remotion-best-practices). Requires Higgsfield CLI installed and authed.

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。

Plans free tools, calculators, generators, and interactive widgets that attract target audience through search and social sharing. Engineering as marketing — build something useful, capture leads. Use when someone wants to build a free tool for marketing, says 'free tool', 'calculator', 'generator', 'engineering as marketing', 'side project marketing', 'interactive widget', 'lead generation tool', 'SEO tool', 'growth hack', 'build something to attract users', or wants to attract users through utility rather than content. Also use when someone asks 'how do I get more signups', 'what should I build for marketing', or 'content marketing alternative' — a free tool is often the best answer. Includes search volume validation, UX flow templates, and conversion hook design.

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。

Record product demos and walkthroughs for marketing assets. Two modes: quick screenshot-stitch demos via ply + ffmpeg, or polished Remotion compositions. Use when the user mentions product demo, demo video, walkthrough video, feature showcase, screen recording, GIF demo, product tour, onboarding video, visual tutorial, feature walkthrough, landing page video, hero video, product video, app preview video, or wants to show their product in action. Even if they just say 'show what it does', 'make a video of the app', 'I need a demo for my landing page', or 'record the app' — this is the skill. If someone has a working product and needs marketing assets that show it off, start here. Owns screen-recorded product demos and walkthroughs. For an AI-generated marketing or brand video with no real product footage, see /higgsfield-generate; for Remotion code and `remotion render` issues, see /remotion-best-practices; for stitching existing slides into an MP4, see /video-content.

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。

Structured marketing brainstorming when direction is unclear. Use when the agent doesn't know which skill to run, the user is vague about what they need, there are multiple valid marketing paths, or someone says 'I don't know where to start', 'what should we market', 'explore approaches', 'help me think through this', 'marketing ideas', 'what campaign should I run', 'where do I start with marketing', 'what's our marketing plan', or 'I have no idea how to promote this'. Explores 2-3 approaches and recommends the best path forward with a specific next-skill handoff. Even vague frustration like 'nobody knows about my product' or 'how do I get users' should trigger this when no specific channel or tactic is mentioned.

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。

리서치 에이전트. RFP 분석 결과를 기반으로 시장 환경, 경쟁/벤치마킹, 타겟 인사이트, Best Practice, KPI 벤치마크 5대 영역을 웹 리서치하여 research_brief.md를 생성합니다. Planner가 Evidence에 실제 데이터를 사용할 수 있도록 지원합니다. 트리거: 리서치, 시장조사, 트렌드, 벤치마킹, research, 시장 분석, 경쟁 분석

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 a user needs SCI/SCIE/ESCI/SSCI journal-submission help: evidence-backed candidate-journal discovery from a title, abstract, keywords, or manuscript text; public-metric and risk lookup for a known journal; or a pre-submission compliance check of a draft against a chosen journal's Author Guidelines and same-journal conventions. Also for Chinese requests such as 选刊、投稿期刊推荐、期刊查询、中科院分区、投稿前检查、期刊要求核对. This skill produces candidates, evidence, checks, and uncertainty; it does not judge research quality, predict acceptance, choose a uniquely best journal, draft prose, or simulate peer review.

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。