「nim」の検索結果

OpenUI generative UI with C# ASP.NET Core Minimal API backend. Direct OpenAI API SSE streaming via HttpClient on .NET 10.

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 a task needs the judgment of an Embedded/Firmware Engineer — analyzing worst-case execution time for a hard real-time deadline, choosing static over dynamic memory allocation to avoid fragmentation on a long-uptime device, keeping an interrupt service routine minimal and deferring work to the main loop, synchronizing a variable shared between an ISR and main context to prevent a torn read, or verifying a hardware register interaction against the datasheet's exact timing rather than observed bench behavior.

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 a task needs the judgment of an Endoscopy Technician — deciding whether to release or quarantine a scope after a failed leak test or minimum-effective-concentration (MEC) reading, handling a point-of-use treatment delay against the manufacturer's reprocessing window, triaging a borescope finding on a working channel, or troubleshooting equipment and passing accessories during a live GI procedure.

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 a task needs the judgment of a Cutting/Slicing Machine Operator — calculating a portion weight overweight margin from measured weight variability to minimize giveaway while staying compliant, verifying a thickness setting against a new product lot's actual density rather than reusing a prior lot's setting, diagnosing declining cut quality as a blade-condition issue rather than compensating with thickness/speed, or adapting cut pattern to irregular input to improve yield.

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 a task needs the judgment of a crop, nursery, or greenhouse farmworker — judging harvest timing/ripeness by crop, reconciling piece-rate earnings against the minimum-wage or AEWR floor, deciding whether it's safe to re-enter a pesticide-treated field or greenhouse, managing heat-illness risk during peak-season labor, or running greenhouse IPM scouting and climate setpoint checks.

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 a task needs the judgment of a corrections sergeant or shift supervisor — mandating overtime to restore a post below minimum staffing, reviewing and countersigning a subordinate's use-of-force report, running progressive discipline for a line officer, assuming incident command during a multi-officer response, or handling a first-level inmate grievance.

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 a task needs the judgment of a Butcher/Meat Cutter — computing true cost per sellable pound from a primal's actual cutting yield, allocating a primal's cost across cut categories by relative market value, pricing dry-aged product against its finished (not green) weight, or diagnosing whether a below-average yield traces to cutting spec rather than the animal itself.

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 a task needs the judgment of a Blockchain Engineer — applying the checks-effects-interactions pattern to prevent a reentrancy exploit, auditing a privileged/administrative function for missing access control, designing a manipulation-resistant oracle for on-chain price data, minimizing gas cost through storage-write design, or deciding whether a smart contract needs an upgradability pattern before deployment.

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/UX design agent for crafting user experiences, visual designs, and game interfaces. Auto-detects the designer role (UX Designer, UI Designer, Game UI Designer) and spawns a role-scoped sub-agent with only the relevant reference files. Triggers on phrases like "user flow", "wireframe", "design system", "design tokens", "accessibility", "WCAG", "UI pattern", "HUD", "game menu", "inventory UI", "minimap". Full per-role triggers in references/roles/.

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。

Guidance for creating Tauri v2 projects using official create-tauri-app workflows and minimal run verification.

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。

Guidance for Tauri v2 localhost plugin with local service access and minimal exposure.

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。

Full autonomous design pipeline — builds fast, then the safety net polishes it. Chains: design-setup → design-build → (design-audit ∥ design-optimize) → design-polish → design-animate. Ships production-grade interfaces end to end.

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。

Emergency fix-and-deploy pipeline — diagnose a bug, apply a minimal fix, verify safety, deploy to production, and confirm the service is healthy.

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。

Audit field service dispatch and workforce scheduling systems -- technician routing (VRP solvers, drive time modeling), skill-based job assignment, SLA priority scheduling, real-time re-dispatch on cancellations or emergencies, capacity planning, and travel time minimization..

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。

Analyze fleet maintenance programs for preventive maintenance scheduling effectiveness, parts inventory forecasting, vehicle downtime minimization, total cost of ownership modeling, and telematics 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。

Audit an emergency resource management system for crisis readiness. Evaluates inventory tracking accuracy, deployment request-to-arrival pipeline, logistics and route optimization, supply chain resilience, inter-agency resource sharing (NIMS/EDXL), staging area management.

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。

Analyze packaging configurations for carton size selection, void fill minimization, palletization efficiency, sustainable materials, and total packaging cost reduction aligned with ISTA and ASTM D4169 standards..

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 product experiments to test hypotheses. Use when the user says "run an experiment", "A/B test this", "build-measure-learn", "validate this assumption", "test this hypothesis", "we don't know if this will work", "minimum viable test", "lean experiment", or wants to reduce risk before fully building a feature - even if they don't explicitly say "experiment".

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。

Configure and control the claude-bionify bionic reading plugin. Use when the user asks about bionic reading settings (fixation/strength, boundary, minimum word length, acronyms, URLs, headings), wants to turn the bionic display on, off, or toggle it, asks for the current status, or asks how to use the /claude-bionify commands.

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。

Transform reference photographs and visually dense images into sparse, recognizable, high-saturation flat-vector-style illustrations through semantic compression rather than literal tracing. Use when the user asks for photo-to-flat illustration, photo-to-vector-style redraw, 照片转扁平插画, 无渐变高饱和插画, iconification, visual simplification, composition-preserving abstraction, a consistent minimal illustration set, or revisions that remove gradients, glow, texture, blur, clutter, text, logos, numbers, or UI. Default to human-perceived semantic complexity 6 out of 10 or lower, fixed-HSB solid fills, crisp boundaries, and no gradients or light-halo effects.

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。

Smallest personal narrated-explainer-video pipeline (spoken narration over visuals, not an audio podcast), fully tool-agnostic and autonomous by default — topic → research ∥ asset collection → script → TTS → video → 4K render ∥ publish info + cover. The skill defines the pipeline logic and self-verified checkpoints; any TTS backend and any video tool (Remotion, HyperFrames, CapCut, ...) work, and how much human oversight to apply is set by the working project's AGENTS.md/CLAUDE.md, not here. Use when the user wants a quick personal narrated video with minimal steps, whether or not they name the tool stack. Do NOT trigger for audio-only podcasts, written episodic content, or heavy multi-format production.

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。

Minimal personal narrated-video pipeline — a topic becomes a talking-head-free explainer MP4 (1080p or 4K) via script → Azure TTS (SSML) → Remotion. Use when the user wants a quick narrated video from a topic without the full video-podcast-maker machinery (no extra skills, no thumbnails/shorts/publish matrix). Do NOT trigger for heavy production needs — use video-podcast-maker for those.

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 and build 2D game maps and scenes - top-down and side-scrolling levels, tilemaps, prop packs, parallax backgrounds and HD-2D battle or story plates - with collision, navigation and reachability checks, environment motion, a playable HTML preview and export to Tiled, Godot 4 or LDtk. Map art (terrain, tiles, props, plates, parallax layers) is image generation by default, through generate2dmedia route_media.py (the API when a key is configured, else the local Codex or Grok CLI); map data (layout, collision, exits, spawns) is written as data. Use for any map, level, room, scene, background, terrain or prop-kit request. Not for characters, creatures, items or FX (generate2dsprite), character animation (video2dsprite), code-drawn tiles or maps (codeart2d, only on request) or calling an image or video API by itself (generate2dmedia).

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 the user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.

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。