Results for “perf”

Structure an HTML video project for HyperFrames, with explicit clip timing, tracks, reusable scene sections, and framework-controlled media playback. Provides rules for repeatable rendering and checks to identify composition problems before producing the final video.

• Create the HTML structure for a video project
• Organize clip timing and tracks
• Connect reusable scene sections

Guide HyperFrames video projects from setup and component selection through checks, previews, and rendering. Use command-line tools to inspect timelines, diagnose failures, compare frames, and choose local, batch, or cloud rendering for the finished composition.

• Set up and preview a HyperFrames video project
• Diagnose build or rendering failures
• Render multiple videos from variable data

Create or edit custom HyperFrames videos, including multi-scene brand films, montages, title cards, and footage remixes. The workflow covers planning, design, media assembly, animation, checks, and a final preview for approval before rendering.

• Create a multi-scene brand video
• Reorder and trim existing footage
• Build a static title card or loop

Build and review HyperFrames animations using motion recipes, scene templates, and transitions. Find guidance for seven animation runtimes, including GSAP and Three.js, and inspect existing scenes for timing gaps and inconsistent motion.

• Combine motion recipes for text and shapes
• Build scenes with several animation phases
• Choose an animation runtime

Build and validate HTML video projects in HyperFrames. It guides scene structure, clip timing, reusable sub-scenes, and audio and video placement, with rules that keep playback predictable and rendered frames consistent.

• Build an HTML video project in HyperFrames
• Set clip timing and arrange tracks
• Combine reusable sub-scenes

Review game code for likely performance bottlenecks in processing, memory, rendering, and data loading. Compare available estimates with configured limits and produce ranked optimization recommendations, including expected impact, effort, risks, and areas needing runtime measurement.

• Finding performance bottleneck candidates in one game system
• Reviewing performance across the whole game
• Comparing available estimates with configured performance limits

Turn an existing website into a HyperFrames video for social ads, product tours, or launches. Capture its visual assets, develop a script and storyboard, generate narration, and deliver a validated project for preview in Studio.

• Turn a website into a short social ad
• Create a narrated product tour
• Make a video announcing a new feature

调香师与香水 (调香师 / 香水 (Perfumery & Fragrance) — 香水创作与香气调配的职业认知操作系统，从业者/调香师/评香师/学习者视角。覆盖: (a) 第一性张力 — codifiable 理论层 (原料知识/香料化学/嗅觉家族分类/accord 和弦/配方结构 %/挥发度金字塔/IFRA 法规) ⇄ tacit 校准层 (嗅觉记忆/闻香训练/「the nose」/创作直觉/盲嗅识别)，这行的核心矛盾是「可背诵的原料与公式」与「不可言传的嗅觉记忆与品味」之间，嗅觉记忆是极致 tacit 技能; (b) 法系传统 vs 分子/合成派 — 法国 Grasse 天然香料 + haute parfumerie 艺术传统 (天然精油/原精/学徒制) vs 现代分子派 (aroma chemicals 香基/captives 专利分子/headspace 顶空捕香/功能香精)，两套对「香水是什么」的世界观; (c) 培养/传承 — ISIPCA (凡尔赛香水学校) + 四大香精公司内部调香学校 (Givaudan/Firmenich(DSM-Firmenich)/IFF/Symrise) + 学徒制 + 「鼻子」tacit 校准; 角色分工: perfumer(parfumeur 调香师) vs evaluator(评香师) vs flavorist(食用香精师); (d) 行业结构 — 四大香精公司寡头 (Givaudan/DSM-Firmenich/IFF/Symrise) + Mane/Robertet/Takasago，为品牌做 B2B 命题创作 (the brief → creation → mods 模型); vs niche/indie 小众独立香水 (artisanal/直营); 天然 (Grasse/精油) vs 合成 (香基/captives) 的成本与可持续之争; (e) 创作层 — 香调金字塔 (top/heart/base notes 前中后调)、accord 和弦、配方 (酒精中 % 浓度)、浓度分级 (parfum/EDP/EDT/EDC)、调香师的「香风琴」orgue、trials/mods 试样迭代、weighing 称量精度; (f) 法规与安全 — IFRA standards (原料限用)、EU 致敏原标签 (26→80+ allergens)、REACH、橡苔/atranol 限用、经典香水 (Mitsouko/Chanel No.5) 因法规被迫重配 (reformulation) 与创作自由之张力; (g) 评价/批评 — Luca Turin & Tania Sanchez (《Perfumes: The Guide》《The Secret of Scent》气味的科学)、香评人、Fragrantica/Basenotes 社区、vintage vs reformulation 之争、niche vs designer 之争。学派分歧: 法系天然传统派 vs 分子合成派、天然纯粹派 vs 合成实用派、haute parfumerie/niche 艺术派 vs mass designer 商业派、「鼻子=艺术家」vs「调香师=香气工程师/技师」、嗅觉科学之争 (Luca Turin 振动理论 vs 主流形状/受体理论)。不含: 香薰蜡烛/家居香氛纯生产营销、芳香疗法健康宣称 (aromatherapy)、纯化妆品配方学 (超出香精范畴)、DIY 家用香氛套件、精油传销/MLM。) Master OS — automated mastery of 调香师 / 香水 (Perfumery & Fragrance) — 香水创作与香气调配的职业认知操作系统，从业者/调香师/评香师/学习者视角。覆盖: (a) 第一性张力 — codifiable 理论层 (原料知识/香料化学/嗅觉家族分类/accord 和弦/配方结构 %/挥发度金字塔/IFRA 法规) ⇄ tacit 校准层 (嗅觉记忆/闻香训练/「the nose」/创作直觉/盲嗅识别)，这行的核心矛盾是「可背诵的原料与公式」与「不可言传的嗅觉记忆与品味」之间，嗅觉记忆是极致 tacit 技能; (b) 法系传统 vs 分子/合成派 — 法国 Grasse 天然香料 + haute parfumerie 艺术传统 (天然精油/原精/学徒制) vs 现代分子派 (aroma chemicals 香基/captives 专利分子/headspace 顶空捕香/功能香精)，两套对「香水是什么」的世界观; (c) 培养/传承 — ISIPCA (凡尔赛香水学校) + 四大香精公司内部调香学校 (Givaudan/Firmenich(DSM-Firmenich)/IFF/Symrise) + 学徒制 + 「鼻子」tacit 校准; 角色分工: perfumer(parfumeur 调香师) vs evaluator(评香师) vs flavorist(食用香精师); (d) 行业结构 — 四大香精公司寡头 (Givaudan/DSM-Firmenich/IFF/Symrise) + Mane/Robertet/Takasago，为品牌做 B2B 命题创作 (the brief → creation → mods 模型); vs niche/indie 小众独立香水 (artisanal/直营); 天然 (Grasse/精油) vs 合成 (香基/captives) 的成本与可持续之争; (e) 创作层 — 香调金字塔 (top/heart/base notes 前中后调)、accord 和弦、配方 (酒精中 % 浓度)、浓度分级 (parfum/EDP/EDT/EDC)、调香师的「香风琴」orgue、trials/mods 试样迭代、weighing 称量精度; (f) 法规与安全 — IFRA standards (原料限用)、EU 致敏原标签 (26→80+ allergens)、REACH、橡苔/atranol 限用、经典香水 (Mitsouko/Chanel No.5) 因法规被迫重配 (reformulation) 与创作自由之张力; (g) 评价/批评 — Luca Turin & Tania Sanchez (《Perfumes: The Guide》《The Secret of Scent》气味的科学)、香评人、Fragrantica/Basenotes 社区、vintage vs reformulation 之争、niche vs designer 之争。学派分歧: 法系天然传统派 vs 分子合成派、天然纯粹派 vs 合成实用派、haute parfumerie/niche 艺术派 vs mass designer 商业派、「鼻子=艺术家」vs「调香师=香气工程师/技师」、嗅觉科学之争 (Luca Turin 振动理论 vs 主流形状/受体理论)。不含: 香薰蜡烛/家居香氛纯生产营销、芳香疗法健康宣称 (aromatherapy)、纯化妆品配方学 (超出香精范畴)、DIY 家用香氛套件、精油传销/MLM。: top builders' mental models, tool stack, current workflows, jargon, and where to keep up. Trigger this skill when the user works on 调香师 / 香水 (Perfumery & Fragrance) — 香水创作与香气调配的职业认知操作系统，从业者/调香师/评香师/学习者视角。覆盖: (a) 第一性张力 — codifiable 理论层 (原料知识/香料化学/嗅觉家族分类/accord 和弦/配方结构 %/挥发度金字塔/IFRA 法规) ⇄ tacit 校准层 (嗅觉记忆/闻香训练/「the nose」/创作直觉/盲嗅识别)，这行的核心矛盾是「可背诵的原料与公式」与「不可言传的嗅觉记忆与品味」之间，嗅觉记忆是极致 tacit 技能; (b) 法系传统 vs 分子/合成派 — 法国 Grasse 天然香料 + haute parfumerie 艺术传统 (天然精油/原精/学徒制) vs 现代分子派 (aroma chemicals 香基/captives 专利分子/headspace 顶空捕香/功能香精)，两套对「香水是什么」的世界观; (c) 培养/传承 — ISIPCA (凡尔赛香水学校) + 四大香精公司内部调香学校 (Givaudan/Firmenich(DSM-Firmenich)/IFF/Symrise) + 学徒制 + 「鼻子」tacit 校准; 角色分工: perfumer(parfumeur 调香师) vs evaluator(评香师) vs flavorist(食用香精师); (d) 行业结构 — 四大香精公司寡头 (Givaudan/DSM-Firmenich/IFF/Symrise) + Mane/Robertet/Takasago，为品牌做 B2B 命题创作 (the brief → creation → mods 模型); vs niche/indie 小众独立香水 (artisanal/直营); 天然 (Grasse/精油) vs 合成 (香基/captives) 的成本与可持续之争; (e) 创作层 — 香调金字塔 (top/heart/base notes 前中后调)、ac

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Performance Analysis - パフォーマンス分析。./tmp/perf.log を分析してボトルネックを特定し、パフォーマンス改善 Issue を作成するスキル。「パフォーマンス分析」「perf-analysis」「ボトルネックを調べて」で発火。ThumbnailThumb 専用（bin/tt-client と ./tmp/perf.log 出力に依存。bin/tt-client が無いプロジェクトでは発火しない）。

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Inspect proposed changes in GitHub, GitLab, or Perforce for review feedback, failed automated checks, and incomplete descriptions. It separates actionable findings from informational or resolved comments, then helps fix issues and close addressed review threads when requested.

• Inspect a change before submission
• Identify failed checks and required fixes
• Organize human and bot review feedback

Animate characters built from SVG parts using GSAP and CSS transforms. Coordinate gestures and facial expressions, keep joints connected, and control playback by frame in Remotion or validate browser previews with HyperFrames.

• Coordinate head and arm movements
• Check blinks, gaze, and mouth shapes
• Control a GSAP timeline by frame in Remotion

Prepare voiceovers, background music, sound effects, transcripts, captions, and background cutouts for HyperFrames compositions. The skill guides audio provider selection, word timing, and caption styling, with local alternatives for several audio tasks.

• Creating voiceovers for HyperFrames videos
• Preparing background music and sound effects
• Adding word-timed subtitles and karaoke captions

Add an eight-second HyperFrames headline animation where square tiles lift, tilt, and flip to reveal a second message. Customize both headlines and 18 settings covering tile size, sweep direction, timing, depth, bounce, and shadows.

• Reveal a second headline through flipping tiles
• Create an animated opening for a promotional video
• Adjust tile depth and shadows to suit a design

Plan HyperFrames videos so motion flows continuously between scenes. Match movement direction and speed across cuts, connect actions through visible causes, and verify scene boundaries while keeping each scene active through meaningful reveals or interactions.

• Plan consistent movement across scene transitions
• Connect scenes with a shared visual element
• Replace idle motion with reveals or interactions

Create navigable HyperFrames presentations with step-by-step reveals, clickable branches, and speaker notes. You can also turn an existing page into a deck while preserving its visual design, motion, and interactive behavior.

• Build a pitch deck with speaker notes
• Reveal key points one step at a time
• Open supporting slides through clickable areas

Create a title animation where glass shards emerge through fog, assemble into a headline, and fly past the camera. Adjust the text, shard count, rotation, timing, and fog in a reusable HyperFrames video block.

• Create a glass title sequence for a video
• Adjust shard count and motion for a headline
• Add a reusable title block to a HyperFrames project

Review Google Cloud workloads using the Performance Optimization pillar of the Well-Architected Framework. Assess performance requirements and architecture, then get actionable recommendations for resource allocation, caching, independent components, automatic scaling, and ongoing monitoring.

• Review resource capacity for expected peak demand
• Assess automatic scaling for traffic spikes
• Review component design for independent scaling

Use the HyperFrames command-line tool to set up HTML-based video projects, check structure and text overflow, preview compositions, and export video. It also covers audio transcription, text-to-speech generation, and environment troubleshooting.

• Starting a video project from a template
• Checking text overflow before rendering
• Previewing and exporting MP4 or WebM video

ショーリール品質（Behance / OFFF / Awwwards級）のモーショングラフィックス動画を HyperFrames（HTML + GSAP + SVG + Canvas、Apache-2.0）で制作する。remotion-motion-reel の HyperFrames 版で、Remotion の Company License が不要な構成。テーマ・素材（キャラクター画像、音声など）から世界観・コピー・デザインシステム・タイムライン・サウンドを補完し、120BPM/60fps で拍同期した映像を実装・レンダリングまで行う。「HyperFramesでかっこいい動画」「ライセンスフリーでモーショングラフィックス」「ショーリールをHTMLで」などの依頼時に使用。

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Analyze application and system performance to find bottlenecks, the points that slow processing. Use resource usage and performance data to plan improvements to resource allocation, load balancing, caching, and algorithms, then compare results after changes.

• Investigating slow application processing
• Reviewing CPU and memory allocation
• Improving workload distribution across nodes

Turn a website's screenshots and brand assets into a HyperFrames site tour or social clip. Develop a storyboard and script, add optional narration and captions, then validate the video and deliver a Studio preview.

• Creating a video tour of a portfolio
• Turning a blog or landing page into a social clip
• Making a site showcase with narration and captions

Fix white flashes and blending problems between scenes in HyperFrames videos. This skill explains background setup, overlapping scene containers, final-frame holds, and timeline templates so transitions render with the intended appearance.

• Fixing white flashes between dark scenes
• Checking opacity dips during crossfades
• Assembling the master timeline

Create a 22.5-second ice animation in HyperFrames, with an orbiting camera following a logo that breaks apart and reforms into two text messages. Customize the SVG logo, wording, ice appearance, and shard movement.

• Create an ice-themed logo animation
• Present two messages in one continuous sequence
• Adjust ice transparency, frost, and cracks

Launch an SGLang server, run a quick accuracy check, and capture an execution trace for performance inspection. Return the trace location and generated files, ready to open in Perfetto or Chrome tracing.

• Capture an execution trace of SGLang inference
• Check basic accuracy before profiling
• Record input processing and token generation separately