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Check whether a user may start side work alongside their current job, by reading the employer's own rules and contract clause by clause: whether side work is prohibited, needs prior permission, or only a notification, and which duties the planned side work could touch (non-compete, confidentiality, exclusive attention to the main job, use of company assets and information, combined working hours). Separate what is confirmed in a document from what is hearsay, and produce the questions to ask the employer plus the facts an application or notification will need. Use when someone with a main job is considering side work, freelance or gyomu-itaku work, a second part-time job, or paid trial work for another company, and needs to know what their own employer's rules require first; do not use to rule on whether a clause is lawful or enforceable, to help conceal side work from an employer or avoid filing obligations, to predict whether permission will be granted, or to submit the application or contact the employer.

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。

Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or EnFormer. Use when correcting Tn5 bias with neural networks beyond k-mer models, predicting per-base accessibility profiles, scoring in silico variant effects at GWAS or rare-variant SNPs, discovering motifs via DeepLIFT/TF-MoDISco from a trained model, or generating cell-type-specific accessibility predictions for unobserved cell states.

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。

投行 strategic-alternatives pitch book — trading comps / precedent transactions / valuation football field / DCF sensitivity / 战略选项矩阵 / 流程建议。改写 assets/template.html 保留 IB-specific chrome / disclosure bands / source labels。用于 Board / sell-side 讨论材料。**不是** VC 融资 deck。工作流改自 Anthropic financial-services Pitch Agent (Apache-2.0)。

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。

Aumenta resolução e qualidade de imagem via Freepik/Magnific, ou orienta o processo manual quando não há chave. Use quando o usuário disser "upscale", "melhorar a resolução", "a imagem está pixelada", "Magnific", "Freepik", "aumentar a imagem", "imagem pequena demais". Gasta crédito — exige confirmação.

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。

Organiza, compara e seleciona entre as variações geradas, e publica a grade de comparação como Artifact para aprovação do time. Use quando o usuário disser "qual dessas", "comparar as variações", "escolher a melhor", "mostrar as opções", "montar grade de aprovação", ou após qualquer lote de geração. Selecionar é trabalho, não detalhe.

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 and maintain comprehensive brand guidelines including visual identity, tone of voice, messaging, color palettes, typography, and usage rules for consistent brand expression. Use when establishing brand identity, creating style guides, defining visual standards, setting tone of voice, creating brand assets, or ensuring brand consistency.

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。

Optimize application performance through code splitting, lazy loading, caching strategies, bundle size reduction, render optimization, and profiling. Use when improving page load times, reducing bundle sizes, optimizing React rendering, implementing code splitting, configuring caching strategies, lazy loading components and routes, optimizing images and assets, profiling performance bottlenecks, implementing virtual scrolling for large lists, or improving Core Web Vitals and Lighthouse scores.

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When the user wants to conduct, analyze, or synthesize customer research. Use when the user mentions "customer research," "ICP research," "talk to customers," "analyze transcripts," "customer interviews," "survey analysis," "support ticket analysis," "voice of customer," "VOC," "build personas," "customer personas," "jobs to be done," "JTBD," "what do customers say," "what are customers struggling with," "Reddit mining," "G2 reviews," "review mining," "digital watering holes," "community research," "forum research," "competitor reviews," "customer sentiment," or "find out why customers churn/convert/buy." Use for both analyzing existing research assets AND gathering new research from online sources. For writing copy informed by research, see copywriting. For acting on research to improve pages, see page-cro.

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。

When the user wants to create sales collateral, pitch decks, one-pagers, objection handling docs, or demo scripts. Also use when the user mentions 'sales deck,' 'pitch deck,' 'one-pager,' 'leave-behind,' 'objection handling,' 'deal-specific ROI analysis,' 'demo script,' 'talk track,' 'sales playbook,' 'proposal template,' 'buyer persona card,' 'help my sales team,' 'sales materials,' or 'what should I give my sales reps.' Use this for any document or asset that helps a sales team close deals. For competitor comparison pages and battle cards, see competitor-alternatives. For marketing website copy, see copywriting. For cold outreach emails, see cold-email.

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。

Orchestrate the migrate-prep cascade — extract --prep → direct --prep → prototype --prep → assets prep — with confirmation gates between phases. Builds the data structure migrate consumes.

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。

Orchestrates legacy AEM (6.x, AMS, on-prem) to AEM as a Cloud Service migration using BPA CSV or cache, CAM/MCP target discovery, and one-pattern-per-session workflow. Use for BPA/CAM findings, Cloud Service blockers, or fixes for scheduler, ResourceChangeListener, replication, EventListener, OSGi EventHandler, DAM AssetManager, HTL data-sly-test lint. OSGi configs → Cloud Manager — scan ui.config, .cfg.json, secrets, $[secret:]/$[env:] — agent follows references/osgi-cfg-json-cloud-manager.md when prompted. Transformation steps live in the best-practices skill—read it and the right references/ modules before editing code.

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。

AEM as a Cloud Service Java/OSGi best practices, guardrails, and legacy-to-cloud pattern transformations. Use for Cloud Service–correct bundles, deprecated APIs, schedulers, ResourceChangeListener, replication, Replicator, JCR observation (javax.jcr.observation.EventListener), OSGi Event Admin (org.osgi.service.event.EventHandler), DAM AssetManager, BPA-style fixes, HTL (Sightly) Cloud SDK lint warnings (data-sly-test redundant constant value comparison), or any time you need the detailed pattern reference modules under this skill.

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, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.

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 React Spectrum UI components for Adobe Experience Cloud Shell SPAs and AEM UI Extensions. Provides patterns for pages, forms, data tables, dialogs, and navigation using @adobe/react-spectrum. Guides ExC Shell integration with @adobe/exc-app including runtime.done(), IMS token passthrough, and shell theming. Guides AEM UI Extension development with @adobe/uix-guest for Content Fragment Console, CF Editor, Universal Editor, and Assets View surfaces. Trigger on: building App Builder UI, React Spectrum components, ExC Shell pages, forms, data tables, dialogs, modals, navigation, theming, web-src, Spectrum design system, @adobe/exc-app, AEM extension, AEM UI extension, Content Fragment Console, Universal Editor extension, uix-guest, @adobe/uix-guest, extension points for AEM, customizing AEM surfaces.

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 runtime 驗證 SKILL — 刷新 Cocos asset-db、執行 validate-ui-specs.js、headless-snapshot-test.js、capture-ui-screens.js，並依環境選用 cocos-screenshot 或 cocos-preview-qa 檢查實際畫面殘差，回寫 generated-review / runtime-verdict。USE FOR: 修改 layout / skin / screen / content / Panel / UI 資產後的驗證收尾。DO NOT USE FOR: 純資產生成、無 target 的整專案大範圍探索。

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 Family 架構師 SKILL — 讀取 proof draft，為每個 visualZone 分配 structural family、themeStack 與 recipe seed，驗證 family 可用性，輸出 family-map 與 recipe 預填欄位。USE FOR: 在 ui-reference-decompose 完成後，進行 family 分派、family-map 產出與 recipe 選擇（UI pipeline Step 2）。DO NOT USE FOR: 直接產生 layout skeleton 或 asset 任務（需先完成此步）。

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Cross-Reference 進度掃描器 — 自動掃描 assets/scripts/**/*.ts 與 tests/*.ts，比對 cross-ref-code.md B-1 表格，產生進度差異報告。USE FOR: 進度掃描、cross-ref 更新。DO NOT USE FOR: 程式碼編輯、UI layout 調整。

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。

GPT Image 2 image generation workflow for this repo MCP server. Use for gpt-image-2, OpenAI image generation, concept art, UCUF reference exploration, UI icon, badge, card art, prompt drafting, transparent-background asset drafts, and saving generated images to local files under artifacts/ui-source or other workspace paths.

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。

DEBUGGING SKILL — Read and analyze Cocos Creator project.log for runtime errors, warnings, and stack traces. USE FOR: any bug report, crash, UI glitch, TypeError, null reference, missing asset, CompositePanel mount fail, ChildPanel route fail, or screen spec wiring error. Load this skill FIRST before any runtime debugging session. DO NOT USE FOR: compile errors (use get_errors tool instead).

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。

Discover and reuse owner resource structure, then validate paths, RSI, audio, maps, attribution, and localization companions.

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。

Pick the right business-model canvas (Lean Canvas, Business Model Canvas, or Value Proposition Canvas) for the stage and fill it with specifics — one segment, one primary canvas, top-3 assumptions, no fluff in the moat or channel boxes. Load when the user asks to fill a business model canvas, lean canvas, value proposition canvas, model this business, map the business model, says "fill the BMC", "make a Lean Canvas", "Value Proposition Canvas for this", "model this idea", "what's the business model", "design the business model". Sub-skill of `venture-exploration`. Hard-bans "everyone" segments, generic channels ("SEO/social/content/ads"), and "unfair advantage = AI/data/network effects" with no concrete asset. Does NOT score viability — for that use `idea-evaluation`.

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。

Automate Cloudinary media management including folder organization, upload presets, asset lookup, transformations, and usage monitoring through natural language 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。

Sequence-based deep learning for ATAC-seq using chromBPNet, BPNet, scBasset, or EnFormer. Use when correcting Tn5 bias with neural networks beyond k-mer models, predicting per-base accessibility profiles, scoring in silico variant effects at GWAS or rare-variant SNPs, discovering motifs via DeepLIFT/TF-MoDISco from a trained model, or generating cell-type-specific accessibility predictions for unobserved cell states.

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 carrier (asset-based, brokerage, or 3PL) asks how to respond to a shipper RFP / RFQ — bid packaging, lane analysis, rate strategy, SOPs/SOWs, qualifications response, insurance compliance, EDI requirements, and how to win competitive bids without leaving margin on the table.

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。