37건 · 관련도순
Recommends RT-CGM devices for adult patients with well-controlled type 1 diabetes who are willing and able to use the devices on a nearly daily basis. Trigger phrases include 'Controlled T1DM patient interested in CGM' and 'Consider RT-CGM for glycemic stability in well-controlled T1DM'.
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This skill suggests using real-time continuous glucose monitoring (CGM) and algorithm-driven insulin pumps (ADIPs) rather than multiple daily injections (MDIs) with self-monitoring of blood glucose (SMBG) three or more times daily for adults and children with type 1 diabetes (T1D). Trigger phrases include "Should I use RT-CGM+ADIP or MDI+SMBG for this T1D patient?" or "Is intensive pump therapy indicated for this patient?"
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Suggests real-time CGM over no CGM for outpatients with type 2 diabetes who use insulin and/or sulfonylureas and are at high risk for hypoglycemia to detect and prevent low glucose events. Consider when initiating CGM in T2D patients on insulin/SU with a history of severe hypoglycemia or impaired awareness of hypoglycemia (IAH).
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Suggests short-term, intermittent real-time CGM use in adult patients with type 2 diabetes not on prandial insulin who have A1C ≥7% and are willing and able to use the device. Triggered by phrases such as “T2DM basal-only, A1C ≥7%, consider intermittent CGM” or “Short-term CGM for non-prandial T2DM with elevated A1C”.
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The skill suggests using real-time continuous glucose monitoring (CGM) combined with algorithm-driven insulin pumps (ADIPs) rather than multiple daily injections (MDIs) with self-monitoring of blood glucose (SMBG) three or more times daily for adults and children with type 1 diabetes (T1D) to lower hypoglycemia incidence. Clinical triggers include discussions about insulin pump therapy, CGM use, or reducing hypoglycemia in T1D patients on intensive insulin regimens.
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Recommends real-time continuous glucose monitoring (RT-CGM) for adult patients with type 1 diabetes mellitus (T1DM) whose hemoglobin A1C is above individualized target. Consider when clinician notes 'T1DM A1C above goal, consider RT-CGM' or 'Patient willing to wear CGM daily, A1C elevated'.
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Derive a type system from a style constraint — font pairings, scale/line-height/weights, DTCG tokens via design-tokens. Use to choose fonts or build a typographic scale.
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Author a 3-layer DTCG token system (primitive → semantic → component) with light/dark theming; generate CSS vars + Tailwind colors and lint hardcoded values. Use on design tokens / CSS variables.
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Turn a confirmed brand identity into a DTCG tokens.json source of truth — emit CSS vars + Tailwind via design-tokens, export locked brand deck templates.
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Use when choosing an animation engine, defining motion tokens, adding scroll effects or micro-interactions, or auditing motion for accessibility and performance. Covers engine selection (GSAP, Motion.dev, Anime.js, React-Spring, Three.js, CSS Native), DTCG motion tokens, and the anti-slop/a11y quality gate.
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Use when acting as the authoritative design lead for all frontend work, enforcing brand discovery, Anti-Slop rules, DTCG design tokens, fluid motion, and data-driven design generation.
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NVIDIA CUDA GPU 並列コンピューティングリファレンス。 CUDA C++ / CUDA Python, kernel, nvcc, Unified Memory, CUDA Graphs, Cooperative Groups, Green Contexts, Driver API, マルチ GPU。 PTX ISA 命令セット, state space, MMA 命令。 Blackwell チューニング, Streaming Multiprocessor, NVLink, Locality Domains, Compute Fabric Transport。 CUTLASS / CuTe DSL / CuTe C++ GEMM, Tensor Core, tcgen05, Task Scheduling, Operator API, nvMatmulHeuristics, nsight-compute, compute-sanitizer。
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Author/validate/export Google's DESIGN.md token spec files.
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