158 件 ・ 関連度順
概要と使いどころ
Provides guidance for experiment tracking with SwanLab. Use when you need open-source run tracking, local or self-hosted dashboards, and lightweight media logging for ML workflows.
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Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
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。
Document generation with direct pandoc/ReportLab execution (lightweight default) and optional shell_agent fallback for complex scenarios
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 building public-equity DCF valuation workbooks. Default to the banker formula workbook path for new model builds; use deterministic exports only for controlled support calculations or explicit lightweight runs. Do not use for standalone workbook audits; use model-audit-tieout.
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。
Add and verify lightweight macOS runtime telemetry. Use when wiring Logger events or inspecting logs for windows, sidebars, menus, and actions.
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 starting, building, handing off, restoring, or closing a mission or slice under the default lightweight SDLC.
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 adding a lightweight interactive globe with cobe (canvas setup, markers, interaction, performance, integration with React/Next.js).
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。
Cuts GitHub API calls by separating lightweight list scanning from full hydration
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。
Evaluate factual claims in AI-generated text and teach a lightweight verification habit. Use when a learner wants to fact-check an AI answer, identify uncertainty, choose appropriate independent sources, or practise critical AI literacy.
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Generate publication-quality PNG chart images from data, supporting line, bar, area, candlestick, pie, and heatmap charts. Triggers when the user asks to visualize data, create a graph, plot a time series, or generate a chart for a report, alert, or dashboard. Runs as a lightweight, headless Node.js process without a browser.
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。
Lightweight readiness probe. Returns the input `message` echoed back, or `'pong'` when omitted. Useful for CLI health checks and SignalR connectivity smoke tests.
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。
Open-ended scientific ideation partner. Use for research gaps, mechanism exploration, interdisciplinary connections, assumptions, possible research directions, and lightweight literature matrix or A+B paper-combination idea mapping. For structured testable hypotheses and validation plans, use hypothesis-generation instead.
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。
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
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。
Lightweight green/red status panel for every configured integration. No gather, no actions.
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 the Classic preset for a lightweight adjustment within one change. Use when the user explicitly invokes /comet-tweak, selects tweak, or resumes workflow: tweak.
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Comet preset path: Non-bug small changes (tweak). Skip brainstorming and full plan, directly open → lightweight build → light verify → archive. Applicable for copy, configuration, documentation or prompt local 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。
Azure VM/VMSS router. WHEN: create / provision / deploy / spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev/test, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus / compute_vm_list-images / compute_vm_check-quota.
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。
Apply Vaughn Vernon-inspired lightweight DDD rules when using bounded contexts, subdomains, context maps, and tactical modeling without excess ceremony.
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。
Operate a selective workspace for complex reasoning, long tasks, repository engineering, coordinated agents, and authorized security analysis. Use when work requires durable state, evidence, cross-file consistency, or recovery; keep direct answers lightweight.
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。
Add an iOS App Clip target to an Expo app. Use when the user mentions App Clip, AASA, apple-app-site-association, appclips, smart app banner, or wants to ship a lightweight iOS Clip invoked from a URL alongside their parent app.
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。
Web search and content extraction via Brave Search API. Use for searching documentation, facts, or any web content. Lightweight, no browser required.
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。
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "outcome over output", "design studio method", "assumption mapping", "lightweight research", "too much design documentation", or "get the team designing together". Also trigger when reducing design-documentation overhead, getting cross-functional teams to co-design, or running fast usability experiments. Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.
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 adding a heavyweight browser dependency (diagram/chart renderers like mermaid, code editors, big wasm-adjacent libs) to a lightweight DSH Web plugin that must stay small, when wiring a lazy-loaded chunk through a host route, when the lazy import intermittently fails or falls back, or when rendering untrusted markup (SVG/HTML) produced by such a dependency.
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。
Lightweight guidance for using the Redis Rate Limit TypeScript SDK, including setup steps, basic usage, and pointers to advanced algorithm, features, pricing, and traffic‑protection docs.
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。