「scale」の検索結果

Use when a PERSONAL brand needs AI avatar video at scale — three tool tiers, four workflows for single avatar, translation, batch, and hybrid, reference image intake, face, style, logo, and palette replacement, voice clone pairing, anti-detection, and a QA score, with disclosure-law variants for US FTC, EU AI Act, SEA, and LATAM, covering HeyGen and Synthesia. Trigger on 'AI avatar', 'HeyGen video', 'Synthesia', 'talking head AI video', 'translate my videos with AI', 'I cannot be on camera every day'. Not for — the words the avatar says, see `04-script-video-global`; audio-only voice clone and podcast, see `25-voice-clone-podcast-global`; a company product video edit, see `44-video-editor-brief-global`.

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 da co MOT master design va can ra du kich thuoc cho tat ca kenh — bang kich thuoc chuan 2025-2026 cho feed, story, reel, cover, placement ads; 3 cach xu ly scale-crop, re-compose, rebuild; quy tac safe zone va cach dat ten file. Kich hoat khi user nhac 'resize asset', 'du kich thuoc', 'adapt kich thuoc', 'bang kich thuoc chuan', 'safe zone', 'anh bi cat mat chu tren story', 'mot anh dang duoc may cho'. Khong dung cho — thiet ke moi tu concept thi dung skill 42-brief-hinh-anh; asset gap khi campaign dang chay thi dung skill 48-quick-visual-brief; liet ke toan bo asset cua campaign thi dung skill 41-campaign-asset-list.

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Use when one master design has to become every size a campaign needs — feed, story, reel, cover, and ad placements: the standard size matrix, three strategies of scale-and-crop, re-compose, or rebuild, safe-zone rules, platform crop behavior, and file naming. Trigger on 'resize this design', 'all the sizes', 'adapt to other placements', 'safe zone', 'standard size chart', 'the text gets cut off in stories'. Also use when one visual exists and six placements are waiting on it. Not for — the original concept brief, see `42-image-brief-global`; production steps in Canva or Figma, see `45-design-tool-brief-global`; the full campaign asset list, see `41-campaign-asset-list-global`; an urgent new creative, see `48-quick-visual-brief-global`.

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Use when the next period content plan must be built from last period DATA — keep and replicate winners, cut losers, at most two new hypotheses, a 70/20/10 mix, a four-week overview, and an owner per slot. Trigger on 'next content plan', 'content plan for next month', 'plan from the audit', 'what should we post next quarter', 'scale what worked', 'plan content using the numbers'. Also use when a report just landed and the user asks what to do with it. Not for — auditing the past period first, see `39-content-audit-global`; turning the plan into a dated calendar, see `01-content-calendar-global`; the next period ADS plan, see `57-next-ads-plan-global`.

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 published content has to be audited — pull channel data, classify winners and losers by percentile across pillar, format, and hook, find the pattern behind performance, and decide what to keep, kill, or scale. Trigger on 'content audit', 'which posts are working', 'content performance review', 'why did that one go viral', 'our reach is dropping', 'evaluate what we posted last month'. Also use when the user only says content does not seem to work anymore. Not for — the plan for next period built on these findings, see `40-next-content-plan-global`; paid ad account review, see `21-ads-audit-global`; the stakeholder report, see `07-marketing-report-global`.

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 next period ADS plan must be built from last period results — read the report and the audit, keep and scale winners, stop or fix losers, set new test hypotheses, split budget, plan three budget scenarios, and schedule the creative pipeline. Trigger on 'next month ads plan', 'plan ads from the report', 'what should we run next month', 'Q4 ads plan', 'next quarter media plan', 'the month ended, now what'. Also use when a report and an audit both exist and no decisions have been made. Not for — the first media plan before any data, see `54-media-plan-global`; scoring the account, see `21-ads-audit-global`; the next period CONTENT plan, see `40-next-content-plan-global`.

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。

Phase 1 of the prd-taskmaster pipeline: brainstorm-driven discovery. Delegates to superpowers:brainstorming in Interactive Mode (one adaptive question at a time), or self-brainstorms in Autonomous Mode when no user is present. Intercepts before the brainstorming chain hands off to writing-plans — this skill owns the exit. Extracts constraints, calibrates scale (Solo / Team / Enterprise), and advances the pipeline to GENERATE.

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。

Collect Amazon.com written product reviews at scale through Woot's public review AJAX route, retain every attempt and error log, reconcile partial runs, and normalize exact review text into auditable JSONL. Use for VOC, competitor review mining, low-star complaint analysis, listing research, or batch ASIN review acquisition without Amazon credentials. Amazon data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).

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。

Collect auditable Reddit search results and full comment trees at scale, preserve the source JSON, and normalize posts and comments into analysis-ready JSONL. Use for VOC, market research, community discovery, keyword snowballing, or any task that needs Reddit post and comment text without inventing unavailable fields. Reddit data layer of the bggg VOC suite (shared project folder; orchestrated by industry-orchestrator, reported by bggg-voc-report).

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。

React composition patterns that scale. Use when refactoring components with boolean prop proliferation, building flexible component libraries, or designing reusable APIs. Triggers on tasks involving compound components, render props, context providers, or component architecture. Includes React 19 API changes.

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Finds Zephyr Scale test cases linked or relevant to Jira stories, ACs, modules, and release risks. Use for coverage analysis and traceability checks.

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시각 + 브랜드 일관성 리뷰. HTML/MD/JSX artifact를 받아 brand DESIGN.md 대비 typo hierarchy, 색 budget, radius scale, 컴포넌트 state, 모바일 반응형 검수. severity BLOCK/WARN/FYI + line ref 출력. 'UI 리뷰', '디자인 검토', 'DESIGN.md 대비 검수' 류 트리거.

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。

N개 brand experiment를 한 화면에서 비교하는 gallery index.html을 생성. 각 카드는 brand name, wow rating, multi-turn refinement deltas, iframe scaled preview, standalone link 포함. '결과물 한 번에 보여줘', '갤러리 만들어', '5개 비교 뷰', 'experiment 결과 정리' 류 트리거. omd:harness가 N개 brand batch 작업 끝낸 직후 자동 호출되거나 사용자가 명시적으로 호출.

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。

VP Engineering perspective - org design (team topologies), process improvement, cross-team dependencies, engineering culture, OKRs, incident management maturity, platform strategy, DX optimization, release management at scale

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。

Figma-to-code translation, design tokens, spacing/typography scales, responsive breakpoints, and design system bridge 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。

Generate design systems with color palettes, typography, spacing scales, component tokens, and Tailwind config

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。

Time-series database implementation for metrics, IoT, financial data, and observability backends. Use when building dashboards, monitoring systems, IoT platforms, or financial applications. Covers TimescaleDB (PostgreSQL), InfluxDB, ClickHouse, QuestDB, continuous aggregates, downsampling (LTTB), and retention policies.

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Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).

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。

Elite frontend image-direction skill for generating premium, conversion-aware website design references. CRITICAL OUTPUT RULE — generate ONE separate horizontal image FOR EVERY section. A landing page with 8 sections produces 8 images. Never compress multiple sections into one image. Enforces composition variety (not always left-text / right-image), background-image freedom, varied CTAs, varied hero scales (giant / mid / mini minimalist), narrative concept spine, second-read moments, and a single consistent palette across all images. Optimized for landing pages, marketing sites, and product comps that developers or coding models can accurately recreate.

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Analyze an MSBuild solution, solution filter, or Build.proj that schedules multiple project files. USE FOR: measured idle worker nodes, `-m` that does not scale, a serial ProjectReference critical path, graph builds, or an MSBuild task that builds a Projects list. Requires at least two distinct project files whose scheduling or throughput must be analyzed. DO NOT USE for non-MSBuild build systems.

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Entrypoint for managing Volcengine Flink (based on Apache Flink) workloads. Use it for developing and deploying streaming and batch jobs, diagnosing real-time issues (e.g., backpressure, checkpoint failures, OOM), troubleshooting resources, and performing SRE actions (stop/start/restart/scale/config changes). It intelligently routes requests to four specialized sub-skills and leverages flink-mcp for tool execution.

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Manages Milvus on Volcano Engine (Volcengine): provision/inspect/scale/delete clusters and run collection + CRUD/search operations via bundled CLIs. Use when the user mentions Milvus + Volcengine/Volcano Engine or asks to operate Milvus there.

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Summon shadow clones: genjutsu's full-scale pipeline for a whole website or web app, from scratch or as a full redesign. Harvests the client's real material, researches in parallel, lets Impeccable lead the direction and genjutsu the motion, builds the pages with parallel agents, then loops fixes, verdicts and a cold-eyes art director until only minor issues remain, the round cap of the chosen tier is reached, or a round fixes nothing. Announces its cost first and asks twice. Web. Needs a host that can spawn subagents.

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This skill should be used when the user asks for "deep research", "research team", "comprehensive analysis", "research report", "investigate thoroughly", "compare X vs Y in depth", or needs synthesis across multiple sources with verification. It spawns a coordinated team of researcher agents across multiple rounds, with the lead triaging findings and creating targeted follow-up tasks. Scales from Focused (2 researchers, 1-2 rounds) to Comprehensive (4 researchers, 3-4 rounds with cross-verification). Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.

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。