「tower」の検索結果

Build a tower defense: enemies pathing along lanes, wave spawning, towers that auto-target and fire, an economy, and lives. Use for a tower-defense/wave-defense game, or balancing waves and economy.

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 working with Aws Control Tower — aWS Control Tower landing zone and account management. Covers landing zone status, enrolled accounts, guardrails (controls), organizational units, baseline configurations, and drift detection. Use when auditing landing zone health, reviewing guardrail compliance, inspecting account enrollment, or troubleshooting Control Tower drift.

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。

Builds HTTP APIs and web services in Rust with Axum, the Tokio team's web framework on top of Tokio, Hyper and Tower. Use when a user asks to create a Rust REST API, add routes, extractors, JSON handlers, shared state, middleware, error handling, WebSockets, graceful shutdown or tests with Axum, or to migrate older Axum code (0.6/0.7 path syntax) to 0.8.

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。

Evaluates data centers, fiber networks, and tower assets with capacity analysis, tenant credit, and technology obsolescence risk. Use when analyzing digital infrastructure, evaluating tower portfolios, or assessing data center investments.

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 Crane and Tower Operator — deciding whether current gust readings require a stand-down given a specific load's sail area, running a blind lift through a signal person when the pick or landing zone is outside the cab's sightline, reading a fixed installation's load chart at the counterweight/jib configuration actually installed, calculating each crane's load share on a two-crane tandem pick, or judging when to set the jib to free-slew ahead of a wind event.

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。

Fine-tune vision-language models (VLMs) with supervised learning on image+text data. Use when adapting a VLM to a visual domain or task, configuring frozen-vision-tower LoRA, or debugging a VLM fine-tune that trains without learning.

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 architecture procedurally in Three.js and film it assembling — a small geometry vocabulary that builds pagodas, castles, domes and spires from parameters instead of mesh files, hip roofs with flying eaves driven by a single profile function, and a clipping-plane build animation where everything below a rising line is finished work and scaffolding stands above it. Use for construction studies, architectural title sequences, procedural landmarks, or any hero object that should build itself rather than fade in.

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。

Draws true-isometric diorama illustrations of developer and design workspaces in one green ramp, generated as SVG with a bundled scene kit. Traits: one rounded off-white slab with a faceted bevelled edge; every face filled by the way it faces (top lightest, right darkest) from five greens; 0.9 deep-green outlines on every edge; dense fine repeated detail (rack units, ribs, vents, keys, code lines); soft green shadows and glows on the slab. Covers projection, shading, line weights, object vocabulary, layout and the iso.mjs kit (racks, databases, laptops, containers, cards, badges, books, plants, cables, status tower). Use when someone asks for isometric illustration, an iso scene, 2.5D tech art, monochrome or green isometric art, a server room, dev stack or cloud picture, or art for empty states, onboarding, 404 pages, blog headers, feature spots or marketing cards in this style.

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。

Routes any game-development request to the right specialized skill(s): it detects the engine (Godot, Unity, Unreal, Bevy, Phaser, PixiJS, three.js, LÖVE, pygame, Roblox) and the task, then reads the chosen skill before acting. Use to make a game or to decide which skill applies — for players, levels, enemies, shaders, art direction, sprites, tiles, textures, 3D assets, UI/UX, cameras, game feel, physics, input, audio, saving, multiplayer, AI, dialogue, procedural generation, or performance, for genres (platformer, roguelike, RPG, FPS, tower-defense, card game, visual novel, survival-crafting, puzzle), and for shipping (game jam, Steam, itch). Start here when unsure which gamedev skill to use.

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。

Art direction for strategy, RTS, turn-based strategy, tower defense, MOBA, city builder, colony sim, and simulation games in Blender.

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。

Reviews tokio async runtime usage for task management, sync primitives, channel patterns, and runtime configuration. Covers Rust 2024 edition changes including async fn in traits, RPIT lifetime capture, LazyLock, and if-let temporary scoping. Use when reviewing Rust code that uses tokio, async/await patterns, spawn, channels, or async synchronization. Also covers tokio-util, tower, and hyper integration 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。

Reviews axum web framework code for routing patterns, extractor usage, middleware, state management, and error handling. Use when reviewing Rust code that uses axum, tower, or hyper for HTTP services. Covers axum 0.7+ patterns including State, Path, Query, Json extractors.

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。

Autonomous novel writing CLI agent with web workbench (JiaOS Studio) - use for creative fiction writing, standalone short-fiction packages, cover generation, novel generation, style imitation, chapter continuation/import, EPUB export, AIGC detection, and fan fiction. Native English support with 10 built-in English genre profiles (LitRPG, Progression Fantasy, Isekai, Cultivation, System Apocalypse, Dungeon Core, Romantasy, Sci-Fi, Tower Climber, Cozy Fantasy). Also supports Chinese web novel genres (xuanhuan, xianxia, urban, horror, other). Multi-agent pipeline, two-phase writer (creative + settlement), stronger long-form chapter craft rules, hook-ledger payoff checks, 33-dimension auditing, token usage analytics, creative brief input, structured logging (JSON Lines), multi-model routing, custom OpenAI-compatible provider support, and JiaOS Studio web UI for visual book management, short-fiction runs, cover generation, chapter review, real-time writing progress, market radar, and analytics.

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Use when a task needs the judgment of a detective/criminal investigator — developing and stress-testing a case theory against alternate explanations, reconciling conflicting timestamps (DVR, cell tower, witness-reported) into a defensible timeline, structuring a suspect/witness interview using a non-accusatorial method, drafting a probable-cause affidavit, or evaluating whether a confession or eyewitness identification is being treated with the right level of certainty.

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。

Master 1Password: vaults, Watchtower, passkeys, SSH agent, CLI, and family/team administration. Use when getting full value from 1Password personally or administering it for others.

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。

Drafts time-limited policy-limits demand letters that create an opportunity-to-settle record for third-party bad faith exposure. Use when the user mentions time-limited demand, policy limits demand, bad faith notice, Stowers demand, civil remedy notice, failure to settle demand, excess exposure letter, insurer settlement opportunity, or needs help with acceptance mechanics for a policy-limits offer. Also trigger for Georgia O.C.G.A. § 9-11-67.1 compliance, Florida statutory bad faith prerequisites, or documenting insurer refusal to settle.

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。

Knowledge base from the FAA Human Factors Design Standard (HF-STD-001B, 2016) — the FAA's consolidated human-factors / human-systems-integration design criteria for systems it manages, operates, or maintains. Use for requirement-level design rules on: general human-factors design principles; automation and function allocation; designing equipment for maintenance; displays, controls, and visual indicators; alarms, audio, and voice communications; the computer-human interface (information presentation, coding, interaction styles, windows, dialogue); keyboards, input devices, and workstation/workplace ergonomics; system security, personnel safety, environment, anthropometry, and user documentation; plus intended-use and tailoring guidance. It is a quantified, source-attributed synthesis (heavily citing MIL-STD-1472G, MIL-HDBK-759C, DOD-HFDG-ATCCS, NUREG-0700, NASA-STD-3000, ANSI, OSHA, ISO 9241). Complements nasa-hsi as a parallel HSI tradition from the civil-aviation domain. Scope limits: it is design criteria, NOT an HSI lifecycle/process model (use nasa-hsi, nasa-npr-7123, or dau-se-guidebook for process); it does NOT reproduce the third-party standards it cites; it is FAA-acquisition-oriented (ATC, towers, TRACONs, airway facilities), not a general consumer-UX guide; and it is thin on modern touchscreen/mobile, web, and AI-driven interface patterns and on quantitative human-reliability 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。

Convert AmeriFlux ERA5 half-hourly meteorological CSV files into EcoSIM hourly climate forcing NetCDF files, compare generated forcing against overlapping measured tower meteorology when a FULLSET file is available, and report large biases or errors. Use when preparing or validating EcoSIM climate inputs for AmeriFlux sites, checking ERA5 against in situ records, diagnosing forcing discrepancies, or writing climate-quality reports. For non-AmeriFlux paper sites that need a fresh Copernicus CDS ERA5 point download by longitude/latitude, use era5-cds-point-download first.

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。

Swiss 网格 / 系统派社交卡 — 精确 / 系统化 / 技术感 / 方法论调性。卡角色含 system 封面 / numbered method / 对比 before-after / KPI tower / 横条 mini-chart / 截图解释 / 证据墙 / 收尾 checklist。用于 framework / checklist / 工具说明 / AI workflow / 产品更新 / KPI 总结。触发："做个方法卡 / 框架卡 / 工具拆解卡 / AI 工具卡 / 系统派结构卡"。NOT 情绪 / 文学 / 图主导卡，NOT 软生活 pastel 风。

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。