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概要と使いどころ
How to launch distributed Megatron-LM training jobs on a SLURM cluster. Covers a minimal sbatch skeleton, environment-variable setup for torch.distributed.run, CUDA_DEVICE_MAX_CONNECTIONS rules across hardware and parallelism modes, container conventions, monitoring, and per-rank failure diagnosis.
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Create a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.
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 the user is invoking doca_flow_dpa_perf on DPA-capable hardware (ConnectX-7 minimum supported, ConnectX-8 recommended, or BlueField-3) to measure rule update / disable rates on the DPA-offloaded DOCA Flow path — picking the active / passive device split, choosing workload-shape axes (burst, queue, completion threshold, workers, hash pipe algo, PSL tables), or reading Kops/sec iteration stats and the optional self-test. Trigger even when the user does not explicitly mention "doca_flow_dpa_perf" or "DPA Provider" — typical implicit phrasings include "how fast can the DPA program path-selector entries", "baseline rule-update rate on ConnectX-8", "tool reports zero ops on my BlueField", "self-test sentinel never shows on tcpdump", or "is my BlueField-2 DPA-capable". Refuse and route elsewhere for the host / DPU-CPU Flow path (doca-flow-perf), Flow pipeline tuning (doca-flow-tune), writing doca-flow / doca-dpa applications, or DOCA install — those belong to other skills.
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Use this skill when building, deploying, evaluating, debugging, or measuring latency for the DeepStream SOP Inference Microservice — a GPU-accelerated FastAPI service that detects whether operators perform assembly-line steps in order via event boundary detection (GEBD) plus VLM classification. Trigger even if the user does not name it: verify operator step sequence, detect missing or out-of-order SOP steps, score factory/work-cell video for procedure compliance, run VLM-based SOP checking on industrial cameras, or call /v1/chat/completions with a file, RTSP, or Basler camera. Also trigger for its internals: SOPVideoProcessor, DeepStream GEBD model (e.g. DDM) via Triton CAPI, nvds_custom_postprocess, Cosmos Reason 1/2 vLLM, SSE streaming, Kafka NvProto/JSON output, Basler/Pylon camera + emulation, Docker compose, chunk-level latency. Do NOT trigger for generic DeepStream pipelines, object detection/tracking, NIM imports, or video summarization.
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Build premium scroll-driven landing pages for service, product, food, and drink brands. Plan the visitor journey, page grammar, emotional peak, and bespoke signature move. Create dimensional heroes with independent visual planes, restrained motion, and separate mobile composition. Use supplied photos and footage or generate photoreal assets through kie.ai, write semantic HTML, and verify desktop, mobile, and reduced-motion scroll states visually. Use for "scrollcraft", "scroll craft", "layered hero", "premium hero", "cinematic hero", "scrollytelling", "scroll animation site", "a site where scrolling plays a video", "Apple-style landing page", "3D scroll world", "interactive landing page", "make my brand a scroll experience", "this looks like a template", or requests for a distinctive website that feels like an experience rather than a document.
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Dependency management for Golang projects — go.mod and go.sum, `go get` install and upgrade flows, Minimal Version Selection, conflict resolution with replace/exclude/retract, `govulncheck` scanning of the module tree, outdated dependency and binary size auditing, vendoring, `tool` directives, and go.work workspaces. Use when adding, removing, or upgrading Go dependencies, deciding whether to take on a package, resolving version conflicts, or auditing what a module pulls in. Covers choosing and upgrading dependency versions, not the surrounding tooling: do NOT use for fixing an exploitable vulnerability in code (→ See `samber/cc-skills-golang@golang-security` skill) or for wiring Dependabot/Renovate update bots into CI workflows (→ See `samber/cc-skills-golang@golang-continuous-integration` skill).
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[omh] Before data leaves the team -- a dataset, log, ticket export or transcript excerpt bound for a vendor, a public issue, a model provider or a training corpus: classify every field, minimize first, pseudonymize with the mapping kept local, and call it redacted only after an observed residual scan. Use when the user says: data-share-review, data share review, pii redaction, redact pii, pseudonymize, de-identify, anonymize the dataset, residual pii.
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[omh] Build or CI failure to triage: classify build, typecheck, lint, test, CI, and DCO failures into minimal safe fix handoffs. Use when the user says: build-failure-triage, build failure triage, build failure, build-failure, build fix, build failed, build failing, compile error.
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Query, search, and download data from the openFDA API for drugs, devices, foods, tobacco, cosmetics, animal and veterinary products, substances, and transparency data. Use for FDA adverse events, recalls, labeling, approvals, shortages, 510(k) clearances, NDC lookups, and any FDA safety or regulatory data query across all 28 API endpoints.
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Shadcn/ui-inspired design with minimal, clean components, monochrome palette, and utility-first 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。
Graceful, refined aesthetic with delicate typography, minimal palettes, and polished layouts that exude sophistication.
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。
Carefully curated, modern minimal style with elegant serif typography and understated, sophisticated palettes.
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。
Modern minimalist aesthetic with clean lines, intentional color palette, subtle interactions, and consistent spacing.
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。
A radically minimal, blank-canvas interface built as a pure edge-to-edge surface, with almost no color and typography carrying the visual weight. Black serves as the only filled color, the only divider, and the sole surface tone cards.
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。
Professional, brand-aligned design with structured grids, minimalist layouts, and consistent enterprise 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。
An immersive, interactive, exhibit-style interface that blends storytelling, animation, and gamified elements to create a playful, experience-driven journey. The entire app sits on a single continuous brand-colored canvas (deep green)
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。
Playful, minimal design with bright colors, rounded shapes, tactile 3D borders, and friendly illustrations for approachable 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。
Contemporary editorial style with serif typography, minimal palettes, and clean layouts for polished digital products.
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。
Conversational AI-first interface with minimal controls, clear outcomes, and delegated task flows for agentic 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。
Paper-textured, print-inspired design with minimal colors, clean serif/sans typography, and tactile surface qualities.
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。
Current-era minimalist design with bento grids, dark mode support, and high-performance accessible layouts.
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。
Two-dimensional minimalist style with vibrant colors, clean typography, and no 3D effects for fast, user-friendly 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。
A cyber-slick, dark-only Matrix-inspired interface defined by minimalist fashion, high-tech digital elements
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。
Stripped-back design emphasizing whitespace, clean typography, and restrained color for maximum clarity and focus.
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。