162 件 ・ 関連度順
概要と使いどころ
Organize receipt images and subscription invoice/receipt PDFs for Japanese sole-proprietor or side-business bookkeeping: extract evidence, rename files, and update monthly memos. Use for 領収書, レシート, receipt, OCR, リネーム, 確定申告, 勘定科目, 経費, subscription receipts, or payment-method change history. Not for company/D365 travel expense claims.
Maps observed adversary behaviors, security alerts, and detection rules to MITRE ATT&CK techniques and sub-techniques to quantify detection coverage and guide control prioritization. Use when building an ATT&CK-based coverage heatmap, tagging SIEM alerts with technique IDs, aligning security controls to adversary playbooks, or reporting threat exposure to executives. Activates for requests involving ATT&CK Navigator, Sigma rules, MITRE D3FEND, or coverage gap analysis.
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。
D3.js data visualization — selections, data joins, scales, axes, shapes, transitions, force layouts, geo projections, framework integration
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。
Firmware development for the 38-pin ESP32-WROOM-32 development board — Espressif ESP32-DevKitC V4, Ai-Thinker NodeMCU-32S, DOIT ESP32 DevKit V1 38-pin and their CH340/CP2102 clones, 19 pins per side, with GPIO0 and the six in-package flash pins (GPIO6-11, labelled D0 D1 D2 D3 CMD CLK or SD0-SD3) broken out. Use when working on a 38-pin ESP32 devkit (ESP32-D0WDQ6 / ESP32-D0WD-V3, ESP-WROOM-32 or ESP32-WROVER module): project setup, platformio.ini and sdkconfig for ESP-IDF or Arduino, pin mapping and which GPIOs are safe, the flash-pin and IO0 traps, WROVER GPIO16/17 PSRAM conflict, strapping pins, ADC1 vs ADC2 with Wi-Fi, SPI speed and IO_MUX pins, deep sleep and RTC wake pins, flashing, BOOT/EN recovery, brownouts, or debugging why something on the board does not 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。
Implement Google's Material Design 3 (Material You) UI system. Primary: Jetpack Compose Material3 (MaterialTheme, components, adaptive layout). Also Flutter and limited web (@material/web, maintenance mode). Covers tokens, 30+ components, layout, theming, M3 Expressive (platform matrix), and accessibility. Use when: "material design", "MD3", "material you", "Jetpack Compose", "MaterialTheme", "material component", "md3 button".
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。
State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
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 custom data visualizations with D3: selections, scales, axes, transitions, and reusable chart patterns. Use when off-the-shelf charts aren't enough.
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 data visualizations with D3 for the web: dashboards, interactive explorers, maps, and storytelling pieces. Use for data-viz products and features.
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。
Criando visualizações de dados interativas usando d3.js. Esta habilidade deve ser usada ao criar gráficos customizados, diagramas de rede, visualizações geográficas ou qualquer visualização de dados complexa baseada em SVG que requeira controle fino sobre elementos visuais, transições ou interações. Use isto para visualizações personalizadas além das bibliotecas de gráficos padrão, seja em React, Vue, Svelte, JavaScript vanilla ou qualquer outro ambiente.
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。
d3k assistant for debugging web 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。
ユースケース一覧の新規作成・更新・レビューを支援する。AI駆動開発成果物フローのビジネス要求(D1)に位置する成果物で、ユーザーストーリー一覧・ドメイン要求仕様書群を上流とし、**1 オペレーション(操作。ドメイン要求仕様書の業務状態遷移における 1 遷移)= 1 UC = 1 シーケンス図** の単位に分割した一覧。1 UC 1 行のフラット表で章分割せず、ID は通し連番(`UC-1`, `UC-2`, …)。**後続の D2 システム要件・D3 システム設計工程における最重要成果物であるシーケンス図の分割単位** となるため、各 UC は 1 本のシーケンス図に無理なく収まるオペレーション粒度(例: 設計書作成=「商品・特約選択」「保険料試算」「意向整合検証」「プラン比較提示・確定」に分割)とし、工程まるごとを 1 UC にしない。同一アクターのインライン例外(IRR)は同一 UC の alt 分岐に、別アクター・別トリガの収束業務とプロダクト共通能力(認証/中断再開/通知/帳票/同意/縮退/例外UX)は独立 UC に切り出す。ユーザーストーリー一覧の策定後、業務局面のオペレーション分解段階で呼び出す。
概念データモデルの新規作成・更新・レビューを支援する。業務上の概念(エンティティ)とその関連を Mermaid ER 図で表す D2 成果物で、論理 ER 図・テーブル定義(D3)の上流にあたる。PRD・ドメイン要求仕様書群の整備後、データ観点を整理する段階で呼び出す。
Write, review, discover, lint, format, and validate BIRD 2/3 routing-daemon projects with the @birdcc toolchain. Use for bird.conf, bird2.conf, bird3.conf, bird6.conf, .bird/.bird2/.bird3 files, bird.config.json, birdcc.config.json, include graphs, BIRD filters and protocols, birdcc init/lint/fmt/lsp, or bird -p checks. Treat BIRD 1 as legacy and verify it with the actual BIRD 1 binary. Route editor and CLI installation to birdcc-installer, GitHub Actions to birdcc-cicd, runtime incidents to bird-troubleshooting, and implementation archaeology to bird-source-explorer.
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。
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visua...
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。
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
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 PPTX slide decks from a speech script or talking points — built for the 5-minute Monday morning speeches at Syla. Use when the user already has a script / 原稿 / メモ and asks to turn it into slides, a deck, or a presentation. Not for slides derived from a video — use youtube-slide-maker for that. Uses PptxGenJS directly (NOT html2pptx.js). Provides 4 slide template patterns, D3.js chart generation, and AI image integration.
Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.
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。
State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.
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 and build mathematically rigorous, high-density, interactive data graphics and streaming telemetry visualizations following Mike Bostock's D3.js and Observable methodologies. Use when crafting custom SVG/Canvas charts, reactive streaming time-series, multi-dimensional brush-and-link coordinates, small multiples, or topological swarm graphs. NOT for generic dashboard template clones, basic spreadsheet charts, or off-the-shelf low-effort wrapper libraries.
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 whenever you are about to create ANY chart, graph, plot, dashboard, or data visualization, in ANY output medium — an HTML or React artifact, inline SVG, plotting code in any library (matplotlib, plotly, d3, Recharts, …), an image/PNG you will render and upload, or a chart shared into Slack. Read it BEFORE writing the first line of chart code, choosing chart colors, building a stat tile / meter / KPI row, or laying out a dashboard. When the destination is a first-party document connector (host-designated, never self-described) that renders live charts, hand it the rows (inline, or as an uploaded data file the chart cites) rather than a rendered PNG/SVG — a picture of a chart loses hover, data inspection and per-value comments. Produces visualizations that read as one system — elegant, accessible, consistent in light and dark — using a brand-neutral placeholder palette you swap for your own. Teaches a design-system-agnostic method: a form heuristic, a color formula with a runnable validator, mark specs, and interaction rules. A validated default palette is documented in `references/palette.md` — swap that file's values for your brand's. Triggers on: "chart", "graph", "plot", "data viz", "visualization", "dashboard", "analytics", "visualize data", "categorical colors", "sequential / diverging palette", "stat tile", "sparkline", "heatmap", "legend", "axis", "tooltip", "chart colors", "color by series".
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。
Trains and evaluates single-agent reinforcement learning with Stable Baselines3 (PPO, SAC, DQN, TD3, DDPG, A2C), Gymnasium custom environments, vectorized rollouts, callbacks, and checkpoint normalization. Applies to reproducible RL experiments, continuous control, discrete actions, and SB3-Contrib recurrent or masked policies.
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。
Plants Canarytokens-based decoy artifacts (honey credentials, DNS tokens, web-bug URLs, AWS keys, documents, kubeconfigs) using Thinkst's open-source Canarytokens project and alerts via email or webhook when a token is touched. Use for high-fidelity intrusion detection in low-telemetry areas like file shares or credential stores, or to catch credential dumping and data-theft staging.
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 geospatial and cartographic visualizations. Use when the user needs help deciding whether to use a map, choosing projections or basemaps, building choropleths or symbol maps, or implementing thematic maps, slippy maps, or geospatial interactions with D3 geo, Leaflet, MapLibre, Mapbox GL JS, Google Maps, OpenLayers, deck.gl, ArcGIS Maps SDK, Azure Maps, HERE Maps, CesiumJS, or related 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。
Structure prediction for protein, nucleic-acid, and small-molecule complexes with Boltz-2 (Passaro & Wohlwend et al. 2025, github.com/jwohlwend/boltz). Reach for this skill to validate designed binders against a target, to co-fold a protein with a SMILES or CCD ligand, or to get an open-source AlphaFold3 alternative with optional binding-affinity prediction.
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。