1,484 件 ・ 関連度順
概要と使いどころ
Proven prompts behind viral AI-made videos across 4 models — Claude, Muse AI, ChatGPT, Gemini. Browse by model, category, or tech tag, copy a creator's prompt, adapt it to your own model and renderer. Use when you need a motion-graphic, explainer visual, 3D scene, interactive animation, or AI video-gen prompt that already worked in the wild.
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。
Assess supply chain risk exposure and resilience posture. Analyzes supplier dependency mapping (Tier 1/2/3), geographic concentration risk, single-source vulnerability, disruption scenario modeling (pandemic, trade war, port closure), Monte Carlo simulation.
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。
Audit a real estate analytics platform -- evaluate comparable sales and rental engines, automated valuation models (AVM), demographic and economic indicator pipelines, submarket scoring, gentrification detection, price forecasting accuracy, market cycle analysis, and risk modeling.
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。
Audit patient-facing healthcare software for portal feature completeness, secure messaging, health literacy, telehealth readiness, consent management, and HIPAA compliance. Triggers: evaluating a patient portal, checking PHI exposure in notifications, auditing telehealth flows.
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。
Audit emergency and crisis triage systems for call prioritization accuracy, resource dispatching algorithm quality, severity classification model evaluation, response time optimization, geographic coverage analysis, mutual aid protocol readiness, and post-incident review workflows..
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。
Track brand mentions, URL citations, and share-of-voice across the 2026 AI search surface — ChatGPT (with browsing), Perplexity, Claude (with search), Google Gemini, Google AI Overviews, Bing Copilot, You.com, Phind, and Microsoft Copilot..
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。
Construct a compelling job offer. Use when the user says "write an offer letter", "help me make an offer", "how should I structure this offer", "what should we include in the offer", "how do I explain the equity", "the candidate is negotiating", or wants to convert a candidate from interested to accepted - even if they don't explicitly say "offer letter". Also use when a recruiter needs to explain comp philosophy or total compensation to a candidate.
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 a detailed buyer persona or customer profile. Use when the user says "write a persona", "build a buyer persona", "customer persona for [product]", "who is our target customer", "ICP document", "ideal customer profile", "define our buyer", "who are we building this for", "customer profile", "audience profile", or wants to create a documented, research-backed profile of who buys the product and why. For sourcing the real research behind a persona, see customer-research. For segment and firmographic definition, see icp-research. For writing it into the knowledge base, see brand-context.
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 A/B copy variants grounded in Eugene Schwartz's awareness and market-sophistication stages and John Caples' tested-headline discipline. Every variant declares its angle, the awareness stage it targets, and a falsifiable hypothesis, and the skill recommends which pair to test first and what delta counts as signal. Use when the user says "A/B test this", "write variants", "give me options", "test different angles", "copy variants", "ab copy", "test this headline", "multiple versions", "which version is better", or wants to test copy before publishing. For reviewing copy that already exists, see copy-review. For sample size and stopping rules, see growth-experiment. For diagnosing a page rather than its words, see page-cro. For full paid ad sets by platform, see ad-campaign-writer.
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。
AI image generation and editing for blog content powered by Gemini via MCP. Generates hero images, inline illustrations, social preview cards, and OG images, and edits existing ones. Supports 6 domain modes (Editorial, Product, Landscape, UI/Web, Infographic, Abstract). Works standalone or internally from blog-write and blog-rewrite; falls back gracefully when MCP is unavailable. Use when user says "blog image", "generate hero image", "blog illustration", "edit blog image", "OG image".
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 user gives a topic and wants an automated topic-driven narrated explainer, podcast, or knowledge-summary video (Bilibili / YouTube / Xiaohongshu / Douyin / WeChat Channels), or asks to learn visual design patterns from a reference video/image. Trigger when the user mentions creating a knowledge video, narrated explainer, video podcast, or animated infographic-style video from a topic — even if they don't say "video podcast" explicitly. Also trigger when the user wants to regenerate, re-render, rebuild, update, or iterate on a narrated video this skill already produced — e.g. they edited the script/prompt, changed the visuals, or swapped the background music and want the final video remade (reuse the existing videos/{name}/ directory, never start a new project). Do NOT trigger for generic video editing, trimming, format conversion, color grading, or non-narrative video tasks. Produces 4K video via research → script → TTS → Remotion → MP4 + BGM.
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。
Connect an MCP-capable coding agent to OpenChatCut and edit local video projects. Use when the user asks to install, connect, or set up OpenChatCut; inspect or edit an OpenChatCut project; work with its timeline, transcript, captions, media, generation, motion graphics, audio, color, or export tools; or recover from an OpenChatCut MCP error.
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 beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
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。
Silently restructures the user's natural-language prompt into the format the model CURRENTLY running this skill handles best, then answers. On activation it identifies which model family is executing it (Claude, GPT, Gemini, Llama, DeepSeek, Mistral, Qwen, Grok, Perplexity, Kimi, GLM, Command, Nova, or Phi) and loads that one model's official strategy — so the optimization always matches the model that actually runs it. Activate with /prompt-refine. Use when users want better answers without learning prompt engineering.
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 an ISV or consulting partner is creating, pricing, publishing, or maintaining an AgentExchange listing through the Partner Console — covers the listing plan, the 5-step Listing Builder workflow (Fill in the Basics, Set Pricing, Add Details, Link Your Solution, Grow Your Business), commercialization models (revenue share vs. annual fee vs. freemium), AgentExchange Checkout setup (Stripe connection, pricing plans, fees, geographic eligibility), Private Offers, Security Review gating, and post-publish listing updates. NOT for building the agent or managed package itself (use agentforce/agentforce-agent-creation and devops/second-generation-managed-packages), NOT for LMA/Trialforce licensing internals (use devops/isv-license-management-and-trialforce), and NOT for the customer-side install experience.
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。
Requirements for a Salesforce Enterprise Territory Management (ETM) territory design: alignment criteria, coverage model selection, assignment rule logic, hierarchy depth and breadth, and user-to-territory ratios. Trigger keywords: territory design, territory alignment, territory model requirements, sales coverage model, territory criteria, geographic territory, named account territory, overlay territory. NOT for ETM setup steps — use admin/enterprise-territory-management. NOT for loading territory assignment data — use data/territory-data-alignment. Trigger keywords: territory design questionnaire, territory requirements document, assignment rule matrix, territory type priority, realignment plan, territory access level decision, accountAccessLevel, opportunityAccessLevel, ObjectTerritory2Association, UserTerritory2Association, Planning state model, territory acceptance tests.
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。
Designing Lookup vs Master-Detail vs Hierarchical vs External relationships: cascade delete, roll-up summaries, ownership, sharing implications, polymorphic lookups, junction objects, relationship depth limits. NOT for restricting which records a lookup can pick — use admin/lookup-filter-cross-object-patterns. NOT for a roll-up across a plain lookup — use data/roll-up-summary-alternatives.
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 this skill when designing HIPAA-compliant workflow requirements for Health Cloud: minimum necessary access design, audit trail requirements mapping, access control patterns, and BAA dependency identification. NOT for org-level HIPAA architecture or Shield encryption configuration — use architect/hipaa-compliance-architecture. NOT for care team and SDOH process design — use admin/care-coordination-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。
Use this skill when configuring Health Cloud patient consent management: setting up HIPAA authorization forms, consent templates, consent tracking per patient, and withdrawal handling. NOT for querying the AuthorizationFormConsent object hierarchy or its required field values — use data/consent-data-model-health. NOT for GDPR/CCPA marketing opt-out on ContactPointTypeConsent — use security/gdpr-data-privacy.
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。
Task and Event objects: polymorphic WhatId/WhoId, Activity object model, ActivityHistory vs OpenActivity, activity timeline customization, bulk task creation, Einstein Activity Capture boundaries. NOT for turning on EAC or calendar sync — use admin/einstein-activity-capture-setup. NOT for Email-to-Case — use admin/case-management-setup. Covers ActivitiesSettings metadata, enableActivities, shared Task/Event custom fields and FLS, TaskStatus value sets, Shared Activities and TaskRelation/EventRelation, recurring and child activities, and partial-success bulk DML on Task.
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。
Firmware development for the WeAct Studio RP2350A Core Board (RP2350A — dual Cortex-M33 @ 150 MHz, 520 KB SRAM, 4 MB or 16 MB QSPI flash) in both of its revisions, RP2350A_V10 and RP2350A_V20 — the 40-pin Pico-2-shaped header, 3-or-4-channel 12-bit ADC, PWM, PIO, USB-C CDC, the V1.0 LDO vs V2.0 buck-boost power wiring, and the PlatformIO + arduino-pico (earlephilhower) setup around them. Use when working on this board, a WeAct RP2350 core board of unknown revision, or any Raspberry Pi Pico 2 / RP2350A clone: project setup, platformio.ini, board = rpipico2 vs weact_rp2350b, telling V1.0 and V2.0 apart, pin mapping, LED and KEY pins, powering it from a battery, 4 MB vs 16 MB flash, erratum RP2350-E9 pull-down trouble, BOOT/RESET UF2 flashing, or debugging why something on the board does not work.
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。
Apply or audit the approved Quiet Signal core visual language when the user explicitly asks for Quiet Signal styling on a defined website, interface, poster, social graphic, report, presentation, or other design artifact. This skill supplies visual identity and rule checks; it does not plan content, invent platform requirements, or run a production pipeline.
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 in phenomenological method and existentialist philosophy from Husserl through Sartre, Heidegger, and Merleau-Ponty
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 in Pre-Socratics, Socrates, Plato, Aristotle, and Hellenistic schools including Stoicism, Epicureanism, and Skepticism
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。