2.8万 件 ・ 関連度順
概要と使いどころ
Rust 製フロントエンドフレームワーク fandhe-frontend のリファレンス。 SSR / SPA / SSG / View Transitions、hydration、単一実行ファイル配布、Vercel デプロイ、既定エスケープ。 クレート core / app / interactive / server(generate_pages) / headless-ui(Primitives) / pre-styled-ui(Themes, motion feature) / wireframe-ui(Wireframes) / animation(fandhe-animation, data-* 属性) / wasm-full(feature 選択)。 Blocks(Hero / Pricing / Cart 等セクション例 329 件)。CLI fw。
NVIDIA DGX Spark User Guide リファレンス。GB10 Grace Blackwell Superchip ハードウェア仕様、first-boot / UEFI 設定、Spark Stacking クラスタ、 DGX OS / NGC / container runtime ソフトウェアスタック、 PXE / cloud-init プロビジョニング、fleet lifecycle 運用、 apt / fwupdmgr 更新、system recovery、PSIRT サポート、 vLLM / TensorRT-LLM / Ollama / ComfyUI / NIM / NeMo fine-tune / NCCL 等の build.nvidia.com/spark playbook、複数 Spark 接続・Tailscale・VS Code、 NVIDIA Developer Forums 由来の known issues / troubleshooting。
Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into WHO GLASS reporting categories. Use when screening clinical or surveillance isolates for AMR, distinguishing acquired vs intrinsic vs point-mutation resistance, calling rpoB / katG / pncA / gyrA / mgrB mutations, reconciling AMRFinderPlus vs RGI vs ResFinder disagreement, contextualising carbapenemases or mcr alleles on plasmids, predicting susceptibility from genotype against the WHO Mtb 2nd-edition catalogue, or building a hAMRonized multi-lab AMR surveillance pipeline.
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。
Planner→Builder→EvaluatorのLong-Runningエージェントハーネスで複雑なタスクを実装します。plannerがfeatures.jsonに機能を分解し、builderがTDDで1機能ずつ実装し、evaluatorがPASSするまでbuilderを繰り返します。「〇〇を作って」「実装して」「long-running」などのリクエストで起動します。
checklist の「UI 撮影台本」に沿って UI のスクリーンショットを撮影し、前後比較(compare.html)用の before / after 素材を保存する。「実装前の UI を撮っておいて」「after のスクショを撮って」などの依頼で発火する。
Skill for analyzing a project's existing UI in Vue. Activates when the user uses /pwdev-uiux:scan or asks to "analyze the project UI", "map existing components", "understand project patterns", or "create project skill". Generates .planning/ui/project-ui-skill.md with project-specific patterns and tokens.
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。
Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/aio-apps-action@3.3.0, plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.
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。
iOS and Swift/SwiftUI development guidance, including App Clips, haptics, UI patterns, Liquid Glass styling, performance audits, view refactors, Swift concurrency, and iOS debugging. Use when building or reviewing iOS apps, SwiftUI views, or troubleshooting iOS issues.
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。
iOS and Swift/SwiftUI development guidance, including UI patterns, Liquid Glass styling, performance audits, view refactors, Swift concurrency, and iOS debugging. Use when building or reviewing iOS apps, SwiftUI views, or troubleshooting iOS issues.
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。
UI 資產品質驗證 SKILL — 執行 validate-visual-assets.js、validate-ui-specs.js 與必要的 snapshot regression，對 skin family 資產、screen package、proof draft / family-map 進行全面驗證，並回寫 generated-review。USE FOR: 任何 UI 資產生成後、在 ui-preview-judge 前必須先通過的 QA 關卡。DO NOT USE FOR: debug runtime 崩潰（用 cocos-log-reader）、Layout 佈局調整（用 ui-vibe-pipeline）。
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。
UI 資產切件與候選收斂 SKILL — 從使用者提供的整頁 UI、2K 母圖、panel sheet 或單張素材，自動執行全切、auto-classify、auto-pick、temp/selected 分流、背景裁切、透明化與 post-process。USE FOR: 切出 panel / cap / badge / glyph / noise 候選、把未挑選切片集中到 temp 可一次清掃、把高信心候選升到 selected、再接 trim-png-by-background.js / postprocess-ui-asset.js。DO NOT USE FOR: runtime 畫面驗收（用 ui-runtime-verify）、純 icon 規格設計（用 UI-icon workflow）、單純修改 layout/skin JSON。
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。
Detects acquired antimicrobial-resistance determinants and chromosomal point-mutation resistance in bacterial assemblies using AMRFinderPlus, ResFinder 4.0 (acquired + PointFinder), CARD-RGI, abritAMR, staramr, and species-specific callers (TB-Profiler, Mykrobe). Harmonises cross-tool output via hAMRonization, contextualises determinants with mobile-genetic-element annotation (MOB-suite, PlasmidFinder, MobileElementFinder, ICEberg), predicts phenotype against EUCAST or CLSI breakpoints, and translates calls into WHO GLASS reporting categories. Use when screening clinical or surveillance isolates for AMR, distinguishing acquired vs intrinsic vs point-mutation resistance, calling rpoB / katG / pncA / gyrA / mgrB mutations, reconciling AMRFinderPlus vs RGI vs ResFinder disagreement, contextualising carbapenemases or mcr alleles on plasmids, predicting susceptibility from genotype against the WHO Mtb 2nd-edition catalogue, or building a hAMRonized multi-lab AMR surveillance pipeline.
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。
Locate CCSBot::EquipPistol in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CCSBot::EquipPistol" (symbol CCSBot_EquipPistol). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CCSBot_EquipPistol, CCSBot::EquipPistol
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。
Locate CCSBot::EquipBestWeapon in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the local gamedata entry "CCSBot::EquipBestWeapon" (symbol CCSBot_EquipBestWeapon). This is a non-virtual function - emit a byte signature (func_sig), not an offset. Locate it via cross-references, distinctive constants/strings in its body, or callers of related symbols; verify by decompilation before committing to a candidate. Trigger: CCSBot_EquipBestWeapon, CCSBot::EquipBestWeapon
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。
Apple Human Interface Guidelines for iPhone. Use when building, reviewing, or refactoring SwiftUI/UIKit interfaces for iOS. Triggers on tasks involving iPhone UI, iOS components, accessibility, Dynamic Type, Dark Mode, or HIG 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。
Guide the user through starting a new web application project — elicit requirements (MoSCoW scoping), create architecture and requirements documents, break work into tasks, and register them as a GitHub Project kanban board. Use when the user says "新しいWebアプリを作りたい", "Webアプリの立ち上げを手伝って", "start a new web app project", "プロジェクトの要件を整理したい", or "GitHub Projectにタスクを登録したい".
ドキュメント内のNuxt UI v3記法を検出し、v4記法への修正を支援します。「ドキュメントをチェックして」「Nuxt UI v4の記法を確認」などで呼び出されます。
Use this skill when importing Excel, CSV, or pasted rows with nuxt-ui-tools as a package consumer. Covers defineSpreadsheetSchema (typed context, chained text/number/date/boolean/select columns, columns depending on the columns above (options, defaults, rules per row), groups and dynamic groups built from the context, exact matching, option sources shared with forms, unknown-value policies, rules and levels, validate, row identity with duplicates and stored records, output), useSpreadsheetImport (headless models, onSubmit with batches and rejections), the UiSpreadsheetImport* parts, useSpreadsheetSteps with custom steps, and the ready-made UiSpreadsheetImport wizard.
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 this skill when previewing files with nuxt-ui-tools as a package consumer. Covers mounting UiFilePreviewProvider, opening one file or a gallery with useFilePreview() or useNuxtApp().$filePreview, file descriptors (URL, File/Blob, or a function that returns a signed URL), options (index, mode, gallery, loop, pdf page, callbacks), the returned handle, the built-in renderers (image, video, audio, PDF, text/JSON, CSV, Markdown, Office and archive fallbacks), renditions, download and custom header actions, the markdown render hook, custom renderers with defineFilePreviewRenderer and UiFilePreviewTools, theming tokens, and how the upload field uses the preview.
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。
Build or improve UI test coverage for visual regression, interactions, and accessibility. Use when the user asks for a test strategy, automated tests, testing setup, or fixes to flaky UI tests. A one-time browser inspection or visual review does not require a new test suite.
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。
Set up CI/CD pipelines for Adobe App Builder projects. Generates GitHub Actions workflows using adobe/aio-cli-setup-action@3 and adobe/aio-apps-action@3.3.0, plus patterns for Azure DevOps and GitLab CI. Handles OAuth S2S secrets injection, multi-workspace promotion (stage → prod), deploy gating with manifest validation. Use this skill whenever the user mentions CI/CD for App Builder, GitHub Actions for aio deploy, automated deployment pipelines, continuous integration, continuous delivery, deploy automation, multi-environment promotion, aio app add ci, or wants to automate their App Builder build and release process. Also trigger when users mention deploy workflows, release pipelines, or GitHub secrets for App Builder.
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 or audit the cross-layer Harbor cooperative editor: Loro replicas for humans and agents, governed edit claims, salvage authority, and transport across shared, LAN, and remote harbors. Use when a change spans editor collaboration, identity, recovery, or transport contracts. For a single GPUI pane use gpui-rust-console; for motion use rust-gpui-motion; for a shader use gpui-shaders. NOT for non-collaborative screens, web editors, or generic Rust development.
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。
Build production-grade AI agents from scratch using patterns inspired by production-grade agentic systems like Claude Code. Covers two audiences — (1) workflow builders who need planner+executor pipelines, human-in-the-loop checkpoints, and multi-agent orchestration, and (2) application embedders who need HTTP/SSE APIs, multi-user session management, and React frontend integration. Use when asked to build an AI agent, create a coding assistant, embed an agent in an app, build an API agent, clone Claude Code, build a CLI agent, design an agent architecture, scaffold an agentic system, or automate a multi-step workflow. Triggers on keywords like agent builder, agent blueprint, coding assistant, CLI agent, agentic tool, claude code clone, agent scaffold, agent architecture, workflow automation, multi-agent, planner executor, SSE streaming, agent API.
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。
TypeScriptのパッケージ内部への直接参照や循環依存を検出し、公開ファイルだけを入口にする構成を、設定・検証・文書化まで整えるスキル。