「activation」の検索結果

针对抑郁症的行为激活疗法：打破恶性循环、活动监测、周计划制定及基于价值观的活动选择。

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Scaffolds and reviews the main entry-point PHP file of a WordPress plugin — header (with Requires Plugins for WP 6.5+), ABSPATH guard, file/path/url/version constants, Composer + PSR-4 with manual spl_autoload_register fallback, register_activation_hook requirements check, Plugin class instantiation on plugins_loaded, and the WP 6.7+ rule that translation functions must not trigger before after_setup_theme. Use when scaffolding a new plugin or reviewing its main file. Triggers on Plugin Name headers, register_activation_hook, Requires Plugins, spl_autoload_register, plugins_loaded, or composer.json at the plugin root.

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。

Designs and reviews scheduled/background work in WordPress plugins: wp_schedule_event, wp_schedule_single_event, cron_schedules, wp_next_scheduled guards, activation scheduling, deactivation cleanup, WP-Cron pseudo-cron timing, DISABLE_WP_CRON/system cron, multisite per-blog cron, idempotent callbacks, chunking, and Action Scheduler graduation. Use when adding scheduled jobs, debugging late/duplicate cron events, or deciding between WP cron and Action Scheduler.

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Design and review Action Scheduler jobs in WordPress plugins using Action Scheduler 3.9.x public APIs - async, single, recurring, and cron-expression actions; action_scheduler_init load timing; hook/args/group naming; unique and priority parameters; idempotent callbacks; chunked workloads; activation/deactivation cleanup; WooCommerce-bundled or standalone dependency usage; admin and WP-CLI debugging; queue runner limits; and safe operational troubleshooting. Use when a plugin schedules background jobs with as_enqueue_async_action, as_schedule_single_action, as_schedule_recurring_action, as_schedule_cron_action, as_get_scheduled_actions, or integrates with WooCommerce background queues.

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Use when the user asks to "build a win-back campaign", "re-engage lapsed subscribers", "run a re-permission / re-consent sweep", or "sunset my dead list"; produces a closed-loop reactivation program — a lapsed-cohort definition, a staged offer ladder, a re-consent (re-permission) capture step, and a sunset-confirm / suppression rule. Owns none of the SEND-N sub-item notes: engagement-decay / sunset is email-sequence-designer's and preference-center / frequency options is preference-frequency-manager's — this skill references those notes, it does not re-emit them. Not for the general lifecycle flows (welcome/cart/post-purchase) — use email-sequence-designer; not for the preference-center / opt-down ladder — use preference-frequency-manager; not for the consent record itself — use consent-registry; not for computing EQS or the N1 veto — use email-quality-auditor. 流失召回/重新授权/沉默用户清理

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Product-led growth and customer-base growth for B2B SaaS. Use this skill for self-serve funnel work (activation, time-to-value, free trial vs freemium, PQL definition, in-product upgrade moments, sales-assist triggers) and for growing revenue from existing customers (adoption, expansion, churn-save, renewal marketing, net revenue retention). Also triggers on: PLG, product-led growth, activation, aha moment, time to value, free trial, freemium, PQL, product qualified lead, onboarding, self-serve, customer marketing, expansion revenue, upsell, cross-sell, churn, retention, NRR, renewal.

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新規・変更 skill の fixture/eval と、WITH/WITHOUT の paired ablation による限界寄与の評価可能性を確認し、activation と effectiveness を分離して案内する。

When the user wants to improve their app's onboarding experience, increase activation rate, reduce Day 1 drop-off, or optimize the first-run flow. Use when the user mentions "onboarding", "first-run", "activation", "tutorial", "day 1 retention", "new user flow", "permission prompts", "sign-up conversion", "onboarding funnel", or "users dropping off early". For overall retention strategy, see retention-optimization. For paywall placement, see monetization-strategy.

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Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework. Use when conducting causal tracing, activation patching, interchange intervention training, or testing causal hypotheses about model behavior.

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Activation-aware weight quantization for 4-bit LLM compression with 3x speedup and minimal accuracy loss. Use when deploying large models (7B-70B) on limited GPU memory, when you need faster inference than GPTQ with better accuracy preservation, or for instruction-tuned and multimodal models. MLSys 2024 Best Paper Award winner.

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Windows アプリ開発 (WinUI 3 / Windows App SDK) のライフサイクル・ウィンドウ・ 通知・リソース・ウィジェット・配置リファレンス。AppInstance, 単一インスタンス化, RichActivation, PowerManager、AppWindow, AppWindowPresenter, OverlappedPresenter, タイトルバーカスタマイズ, DisplayArea, Win32 相互運用、AppNotification, Toast, PushNotificationManager, バッジ通知、ResourceManager, MRT, PRI リソース, 多言語ローカライズ、WidgetProvider, WidgetManager, アダプティブカード、 MSIX パッケージ配置, 自己完結型デプロイ, DeploymentManager, リリースチャネル。

Windows アプリ開発 (Windows App SDK / WinRT) の OS 統合 API リファレンス。 DeviceInformation, DeviceWatcher, センサー (Accelerometer, Gyrometer, Compass, OrientationSensor, Pedometer, ActivitySensor), Bluetooth LE, USB, Serial, HID, Battery, HttpClient, StreamSocket, WebSocket, BackgroundDownloader/Uploader, NetworkInformation, PointerInput, KeyboardInput, FocusManager, DragAndDrop, IME/TextInput, Calendar, DateTimeFormatter, CurrencyFormatter, ResourceLoader (多言語化・地域化), PasswordVault, CryptographicBuffer, WindowsHello/Passkeys, WebAuthenticationBroker, Clipboard, DataTransferManager, Launcher, JumpList, TaskbarManager, SecondaryTile, StartupTask, ProtocolActivation。

Use the AEM 6.5 LTS Replication API for programmatic content activation, deactivation, and replication status management

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Design onboarding and activation flows that help users reach value quickly. Use when the user mentions onboarding, getting started, first-time users, activation, aha moments, or new user flows—not when the work is only the empty-state surface itself.

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 the AEM 6.5 LTS Replication API for programmatic content activation, deactivation, and replication status management

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。

OpenDesign's weekly growth review: stars, installs, activation — the number, the driver, and the recommended move. Built as a decision-grade data & finance deck for growth & product team.

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。

Design and test explicit human, implicit model or agent, programmatic application, bounded skill-composition, and harness activation policies for an Agent Skill 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。

When the user wants to optimize signup, registration, account creation, or trial activation flows. Also use when the user mentions "signup conversions," "registration friction," "signup form optimization," "free trial signup," "reduce signup dropoff," "account creation flow," "people aren't signing up," "signup abandonment," "trial conversion rate," "nobody completes registration," "too many steps to sign up," or "simplify our signup." Use this whenever the user has a signup or registration flow that isn't performing. For post-signup onboarding, see onboarding. For lead capture forms (not account creation), see cro.

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When the user needs a comprehensive marketing plan for a client, a company they advise, or their own product. Also use when the user mentions "marketing plan," "growth plan," "GTM plan," "go-to-market plan," "AARRR plan," "90-day marketing plan," "12-month marketing roadmap," "fractional CMO plan," "fCMO plan," "market sizing," "TAM SAM SOM," "how big is this market," or "market research." Generates an exhaustive 13-section plan structured by AARRR (Acquisition, Activation, Retention, Referral, Revenue), customized to the client's current budget, team, and stage, mapped to future funding milestones, cross-referenced with the 139-idea marketing-ideas library and an embedded 17-section current-state audit rubric, with a marketing operations stack showing which skills and MCP/API integrations execute each part. Outputs a Notion-paste-ready markdown document. For positioning and ICP context before planning, see product-marketing. For stage-specific deep work, see onboarding, signup, emails, referrals, pricing.

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When the user wants to optimize, improve, or increase conversions on any marketing page or form — including homepage, landing pages, pricing pages, feature pages, lead capture forms, or contact forms. Also use when the user says 'CRO,' 'conversion rate optimization,' 'this page isn't converting,' 'improve conversions,' 'why isn't this page working,' 'my landing page sucks,' 'form abandonment,' 'nobody's converting,' 'low conversion rate,' or 'this page needs work.' Use this even if the user just shares a URL and asks for feedback. For signup/registration flows, see signup. For post-signup activation, see onboarding. For popups/modals, see popups.

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。

CommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient<TMessage>, RequestMessage<T> / AsyncRequestMessage<T> / CollectionRequestMessage<T>, ValueChangedMessage<T>, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.

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。

Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.

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。

Install and configure the OpenViking long-term memory plugin for OpenClaw via natural conversation. Once installed, the plugin automatically captures facts from chats and recalls relevant context before each reply (auto-capture + auto-recall, cross-session). Covers prerequisites, install through OpenClaw's plugin manager (ov-install as backup), wizard-based configuration, slot activation, gateway restart, verification, multi-tenant root keys, multi-instance and uninstall. The user needs no CLI knowledge — the agent runs everything and only asks for a few values. Assumes the OpenViking server is already running; it does NOT install the server. Trigger on: "install OpenViking", "set up memory", "configure memory plugin", "add long-term memory", "semantic memory", "RAG", "帮我装 OpenViking", "配置记忆插件", "安装记忆功能", "接入 OpenViking".

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 for the CODE half of a managed Intelligence Channel with Slack or Microsoft Teams: customising the Channel a CLI-scaffolded project already ships, or — for a project the CLI did not generate — writing the Channel declaration, the long-running host, and the awaited activation call. Teams provider setup is in scope, because the CLI or dashboard wizard performs it. Creating a Slack app for the first time is not: if no Slack app exists yet, use setup-slack-channel for the provider half and return here for the 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。