「hie」の検索結果

Expert blueprint for stealth games (Splinter Cell, Hitman, Dishonored, Thief) covering AI detection systems, vision cones, sound propagation, alert states, light/shadow mechanics, and systemic design. Use when building stealth-action, tactical infiltration, or immersive sim games requiring enemy awareness systems. Keywords vision cone, detection, alert state, sound propagation, light level, systemic AI, gradual detection.

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。

Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop.

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。

Expert blueprint for stealth games (Splinter Cell, Hitman, Dishonored, Thief) covering AI detection systems, vision cones, sound propagation, alert states, light/shadow mechanics, and systemic design. Use when building stealth-action, tactical infiltration, or immersive sim games requiring enemy awareness systems. Keywords vision cone, detection, alert state, sound propagation, light level, systemic AI, gradual detection.

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。

Expert blueprint for open world games including chunk-based streaming (load/unload regions dynamically), floating origin (prevent precision jitter beyond 5000 units), HLOD (hierarchical LOD for distant meshes), persistent state (track entity changes across unloaded chunks), POI discovery systems (compass, markers), and threaded loading (prevent stutters). Use for RPGs, sandboxes, or exploration games. Trigger keywords: open_world, chunk_streaming, floating_origin, HLOD, persistent_state, POI_discovery, threaded_loading.

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。

Expert blueprint for fighting games including frame data (startup/active/recovery frames, advantage on hit/block), hitbox/hurtbox systems, input buffering (5-10 frames), motion input detection (QCF, DP), combo systems (damage scaling, cancel hierarchy), character states (idle/attacking/hitstun/blockstun), and rollback netcode. Based on FGC competitive design. Trigger keywords: fighting_game, frame_data, hitbox_hurtbox, input_buffer, motion_inputs, combo_system, rollback_netcode, cancel_system, advantage_frames.

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。

Agentic eyes for Godot work: cross-platform screenshot CLI (asset/region/window/screen) to budgeted WebP, TEMP editor viewport bridge under .gdskills/, and Taste Receptor Atlas v2 (~237 micro-receptors × 0–2: hierarchy, contrast, typography×41, affordance, space, color, icon, composition, light/FX, motion-tells, anti-slop, originality, identity). Use when agents must see UI, assets, or the editor — not for in-game screenshot Autoloads. Keywords: agent vision, screenshot, WebP, visual QA, taste receptors, typography, UI review, asset sheet, editor viewport, anti-slop.

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 designing scene tree structure — composition vs inheritance, when to split scenes, node hierarchy 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。

Use when using the LimboAI addon — behavior trees and hierarchical state machines (C++ GDExtension) with a visual editor, BTTask subclassing, and a blackboard

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。

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

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。

15-agent hierarchical mesh coordination for v3 implementation. Orchestrates parallel execution across security, core, and integration domains following 10 ADRs with 14-week timeline.

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。

Generates shareable card images from app content (achievements, stats, quotes) for social media sharing. Use when user wants to create share images, social cards, shareable content cards, or export app content as images with ShareLink 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。

Generates guided first-action flows that help users achieve a meaningful result within 60 seconds to boost retention. Use when user wants quick win onboarding, time-to-value optimization, or first success moments.

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 typography on Apple platforms — text styles and Dynamic Type, the San Francisco family (Pro/Rounded/Compact/Mono/New York + width axis), optical sizes, tracking vs kerning, leading adjustments, and custom-font scaling. Use when choosing fonts, building type hierarchy, fixing truncation/legibility, or making custom fonts respect Dynamic Type.

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。

BUSseq R package fits an interpretable Bayesian hierarchical model---the Batch Effects Correction with Unknown Subtypes for scRNA seq Data (BUSseq)---to correct batch effects in the presence of unknown cell types. BUSseq is able to simultaneously correct batch effects, clusters cell types, and takes care of the count data nature, the overdispersion, the dropout events, and the cell-specific sequencing depth of scRNA-seq data. After correcting the batch effects with BUSseq, the corrected value ca

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。

TreeSummarizedExperiment has extended SingleCellExperiment to include hierarchical information on the rows or columns of the rectangular data.

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。

Provides a high-level R interface to CoreArray Genomic Data Structure (GDS) data files. GDS is portable across platforms with hierarchical structure to store multiple scalable array-oriented data sets with metadata information. It is suited

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。

Expert knowledge for Azure Payment Hsm development including troubleshooting, best practices, decision making, architecture & design patterns, security, and configuration. Use when configuring Payment HSM VNets/peering, FastPath, payShield Manager access, SKUs, HA/DR topologies, or traffic routing, and other Azure Payment Hsm related development tasks. Not for Azure Cloud Hsm (use azure-cloud-hsm), Azure Dedicated HSM (use azure-dedicated-hsm), Azure Key Vault (use azure-key-vault), Azure Security (use azure-security).

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。

Define how multiple brands, sub-brands, and product lines relate to each other under one organization. Use when the user says "brand architecture", "sub-brand", "brand portfolio", "master brand", "house of brands", "branded house", "product naming system", "how do our brands relate", "parent brand", "brand hierarchy", "brand family", "we have multiple products and need a naming system", "brand extension", "new product launch under existing brand", or when a company has grown beyond a single brand and needs a system to manage brand relationships.

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。

Create a packaging design brief — structure, visual direction, hierarchy, materials, and unboxing experience. Use when the user says "packaging design", "packaging brief", "product packaging", "packaging direction", "label design", "packaging identity", "unboxing experience", "packaging look and feel", "brief my packaging designer", "packaging for my product", "packaging strategy", "retail packaging", "e-commerce packaging", "what should my packaging look like", or is briefing a designer, agency, or manufacturer on packaging requirements.

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。

Mandatory pre-flight-search reference. Contains the Seats.aero workflow (pull ALL programs first), source accuracy hierarchy, Southwest/Companion Pass specifics, small-market caveats, and Duffel limitations.

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。

Progressive L1-L6 refactoring hierarchy, 22 code smell taxonomy, atomic transformations, test code smells, and Fowler refactoring catalog

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。

Hire one of the eight open source AI Employees (GTM Engineer, SEO/AEO, Web Dev, Social Media, Ad Manager, Sales, Customer Satisfaction, Chief of Staff) into a local folder, prove it runs, and hand over its install prompt. Also answers which one to hire first, how a hired employee runs on a schedule, how to direct it, how it improves from corrections, and how to upgrade it. Use when the user says hire an employee, install an AI employee, set up the GTM Engineer, names one of the eight, or asks how AI Employees work. It copies files and runs self tests only. It registers no schedule and sends nothing.

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。

Dung khi can lap ke hoach chi tieu quang cao cho mot ky — tinh nguoc tu doanh thu, phan bo theo kenh va tang pheu, ty le testing 30 scale 50 retarget 15 lookalike 5, va timeline ramp-up. Kich hoat khi user nhac 'media plan', 'plan ads thang toi', 'phan bo ngan sach quang cao', 'chay bao nhieu tien', 'chia budget cho kenh nao', 'ke hoach chay ads'. Khong dung cho — phan bo ngan sach marketing tong the ngoai ads thi dung skill 61-budget-planning; tinh CPL toi da thi dung skill 10-tinh-kpi-nguoc.

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。

Dung khi mot CA NHAN can viet BAI DAI de xay uy tin, khong phai copy ban hang — 3 cau truc chuan cho thi truong VN gom PAS-Insight cho founder, Story-Lesson-CTA cho coach, Hook-List-Reveal cho creator; 6 cong thuc hook long-form; ky thuat nhip cau; do dai theo nen tang LinkedIn, Facebook, newsletter; ma tran tai su dung 1:5. Kich hoat khi user nhac 'viet bai LinkedIn', 'thought leadership', 'long form post', 'newsletter ca nhan', 'viet bai chuyen sau', 'khong biet viet gi tren trang ca nhan', 'muon duoc coi la chuyen gia'. Khong dung cho — copy quang cao tra tien thi dung skill 05-copy-quang-cao; caption ngan cho fanpage doanh nghiep thi dung skill 37-caption-social; kich ban video ngan thi dung skill 04-script-video.

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。