1,486 件 ・ 関連度順
概要と使いどころ
ANDREJ KARPATHY — SKILL COMPLETA v2.0 workflow skill. Use this skill when the user needs Agente que simula Andrej Karpathy — ex-Director of AI da Tesla, co-fundador da OpenAI, fundador da Eureka Labs, e o maior educador de deep learning do mundo and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
ANDREJ KARPATHY — SKILL COMPLETA v2.0 workflow skill. Use this skill when the user needs Agente que simula Andrej Karpathy — ex-Director of AI da Tesla, co-fundador da OpenAI, fundador da Eureka Labs, e o maior educador de deep learning do mundo and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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 UGC Ads workflow skill. Use this skill when the user needs When the user wants to create UGC ad campaigns, recruit UGC creators, generate AI UGC content, or scale with user-generated content. Also use when the user mentions 'UGC,' 'user-generated content,' 'creator ads,' 'Spark Ads,' 'whitelisting,' 'AI UGC,' 'Arcads,' 'Creatify,' 'creator brief,' or 'UGC testing.' This skill covers the UGC growth framework from creator recruitment through AI-powered scaling. Do NOT use for technical implementation, code review, or software architecture and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
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。
张明楷 (清华大学法学院文科资深教授) 视角. 国内刑法学术代表 + 教材标准 (《刑法学》第七版) + 结果无价值论代表. 调用此 skill 时, 用张明楷框架做刑法学术解释 / 构成要件实质解释 / 罪名认定决策.
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。
John Gottman (Gottman Institute) 视角. 循证婚姻研究派代表. Four Horsemen + 5:1 Magic Ratio + Cascade Model. 调用此 skill 时, 用 Gottman 框架做关系健康度判断.
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 asks to batch-download academic PDFs with ref-downloader — either ALL references of one paper (Mode A: DOI or PDF input), OR a custom batch of papers (Mode B: DOI/title/arXiv-PMID list, or abstract query like "Author X's recent papers"). Not for one-off PDFs, paper search, or Zotero import.
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 or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails," "trigger-based emails," "email funnel," "email workflow," "what emails should I send," "welcome series," or "email cadence." Use this for any multi-email automated flow. For cold outreach emails, see cold-email. For in-app onboarding, see onboarding.
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。
Counts and compares blog posts across a target and competitors, audits content freshness via sitemap lastmod dates, and maps competitor organic keywords (US, non-branded, informational) against the target to surface ranking gaps. Use when asked to compare blog counts, content volume, publishing cadence, content freshness, keyword mapping, keyword gap analysis, or competitor keyword reports — e.g. "how many blog posts does X have vs Y", "how fresh is content on X", "where does [target] rank for [competitor] keywords", "keyword gap between X and Y". Works from company names alone. Always use for blog comparison, freshness audits, and keyword mapping tasks.
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 has a video + an SRT and wants the subtitles either burned into the pixels (libass, always-visible) or soft-muxed as a togglable track. Also handles the final composite step for the localization pipeline — burn subs, mix a dub track, and keep the original audio as a low-volume bed, all in ONE ffmpeg encode (no cascade). Verifies libass availability and auto-downloads a static evermeet ffmpeg build when Homebrew's stripped binary lacks it. Triggers — "烧字幕", "硬字幕", "burn subtitles", "burn-in subs", "embed subtitle", "soft mux SRT", "把字幕烧进视频", "做最终合成".
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 has one or more video clips and wants to add post-production on top — AI-generated cover as first frame, HTML/CSS captions synced to SRT, kinetic illustration overlays at hook moments, chapter chips, end-card CTA, or any other timed motion graphics. Most often used as the downstream of `/wjs-segmenting-video` — pick up where that skill stopped (raw cropped clip + per-clip SRT) and produce the upload-ready MP4. Backed by HyperFrames so everything compiles to ONE final encode — no cascade of re-encodes. Triggers — "加封面", "加字幕", "加动画", "加 CTA", "做后期", "post-production", "title card", "kinetic captions", "end card".
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。
Applies the reasoning, principles, and mental models of Sebastian Thrun (robotics and self-driving cars pioneer, founder of Google X, Waymo, Udacity, Stanford University). Reach for this skill whenever Claude is asked to advise on hardware/software systems engineering, autonomous vehicles, moonshot ideation, probabilistic robotics (SLAM), or leading high-stakes engineering teams. Trigger this skill for discussions on democratizing education, regulating AI, transitioning from academic research to product development, or managing technical teams with empathy. Use it to shift focus from incremental component debates to end-to-end execution and audacious goals.
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。
Applies the operational and scientific frameworks of Stacey Gabriel (genomicist and sequencing platform leader at the Broad Institute). Use this skill whenever the user is designing large-scale biomedical research, operationalizing lab workflows, standardizing data governance, or transitioning from bespoke academic experiments to industrial-scale science. It is highly relevant for queries involving genomics, precision medicine, multiomics, cellular perturbation pipelines, or building massive datasets to fuel AI. Trigger this skill to shift the user's focus from 'hand-to-hand combat' one-off studies to systematic, standardized, and scalable data generation.
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。
Applies the reasoning, materials design principles, and research philosophy of Zhenan Bao (chemical engineer, Stanford University, flexible electronics). Use this skill whenever you are advising on hardware innovation, materials science, wearable/implantable technology, bioelectronics, or deep-tech research strategy. Trigger this when users face engineering bottlenecks requiring biological inspiration, trade-offs between mechanical and electronic performance, scaling lab fabrication to commercial manufacturing, or managing long-term academic research and mentorship. Apply her frameworks to shift from reactive problem-solving to proactive, integrated design.
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。
Applies the philosophical frameworks of Plato (ancient Greek philosopher, Theory of Forms, founder of the Academy) to structural, ethical, and epistemological problems. Use this skill whenever the user is grappling with organizational design, leadership ethics, defining abstract concepts, aligning incentives, or uncovering the root essence of a problem. Trigger this when discussing justice, governance, the nature of knowledge, structural harmony, or when a user is trapped by superficial metrics (shadows) and needs to find fundamental truths (Forms). Do not wait for the user to name Plato; proactively apply his dialectical reasoning to cut through illusions.
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 reasoning about deep tech commercialization, biomedical engineering, drug delivery, material design, or overcoming institutional skepticism. Robert Langer, MIT professor and pioneer of drug delivery systems, approaches problems through first-principles engineering, interdisciplinary convergence, and relentless perseverance against consensus. Trigger this skill whenever the user is evaluating high-risk/high-reward research, deciding between incremental vs. paradigm-shifting impact, spinning out academic discoveries into startups, or designing physical/biological systems from scratch. Apply his frameworks to navigate patenting, funding, and translating lab science into real-world impact.
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。
Applies the reasoning, architectural principles, and AI philosophy of Christopher Manning (natural language processing expert, Stanford University, director of Stanford AI Lab). Use this skill whenever you are discussing natural language processing, LLM architecture, AI research strategy, cognitive science, or the evolution of machine learning. Trigger this skill for questions about AGI timelines, academic vs. industry research trade-offs, linguistic structure in neural networks, modularity in AI design, or evaluating true intelligence versus mere memorization. Channel his pragmatic focus on domain science, adaptability, and competing on ideas rather than raw compute.
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。
Applies the reasoning style of Daphne Koller (machine learning pioneer, co-founder of Coursera, founder and CEO of Insitro). Use this skill whenever you encounter problems involving AI and machine learning in biology, drug discovery, interdisciplinary collaboration, data generation vs. data mining, or transitioning from academia to industry. Trigger this skill when advising on career trade-offs, building cross-functional teams (especially bridging engineers and domain experts), designing data pipelines, evaluating causality vs. correlation, or applying AI to physical systems ('where bits meet atoms'). Channel her focus on fit-for-purpose data, pragmatism, and disproportionate leverage.
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。
Applies the strategic frameworks and mental models of Anne Wojcicki, co-founder and CEO of 23andMe. Reach for this skill when advising on consumer empowerment, navigating heavily regulated industries, preventative healthcare, data privacy, or disrupting entrenched systems. Use this when the user is dealing with misaligned industry incentives, facing regulatory hurdles, building a consumer-research flywheel, or managing a team through a post-launch 'trough of sorrow'. Apply her principles of 'speaking with data', treating users as partners, and pushing for decade-long systemic change from the outside.
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。
Suede-owned organic social strategy and content discipline. Use when planning platform mix, posts, threads, cross-platform calendars, repurposing, listening, engagement, or cadence for a founder or brand account. NOT FOR: Instagram-specific account audits, Reels, carousels, Stories, or daily Instagram loops (use suede-instagram-growth), paid ad creative (use suede-ad-creative), broader editorial strategy (use suede-content-strategy), full video production (use suede-video), or publishing and engagement without approval.
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。
Suede-owned SMS and MMS marketing discipline. Use when evaluating SMS as a channel, designing consent-aware sequences, drafting messages, setting cadence, comparing number types or platforms, or defining measurement (TCPA consent, A2P 10DLC, quiet hours, cart-recovery and win-back texts. NOT FOR: email campaigns (use suede-emails), phone capture UX (use suede-site-alchemy), or legal certification) this skill does not give legal advice and never sends, schedules, imports, or registers.
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。
Suede-owned content-strategy discipline for audience questions, content pillars, topic clusters, editorial priorities, cadence, distribution, refreshes, and stop-doing decisions. Use when deciding what to publish, why it deserves resources, and how the portfolio compounds. NOT FOR: writing an individual asset (use suede-copy), technical or on-page SEO audits (use suede-seo-audit), or social-channel production (use suede-social).
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。
Suede-owned editorial pipeline for agent-run content: six roles with written contracts, one inspectable record that travels between them, and a distribution stage that gives every asset its own argument instead of a shorter draft. Use when content agents return generic, duplicated, or unsourced work, when one flagship piece has to carry a week of distribution, when someone asks to build an AI content team or one-person media company, or when a founder wants a weekly interview-led content system across personal and company accounts. NOT FOR: choosing which topics, pillars, or clusters to cover (use suede-content-strategy); platform mix, cadence, calendars, or listening (use suede-social); an Instagram-specific program (use suede-instagram-growth); running a stage on a schedule with state and stop conditions (use suede-marketing-loops); lane ownership for agents changing code (use suede-agent-teams); writing the flagship piece itself (use suede-ship-copy).
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。
Suede-owned lifecycle email design for welcome, onboarding, nurture, re-engagement, post-purchase, and trigger-based sequences. Use when the user needs a multi-email flow with entry criteria, cadence, message roles, and a measurement plan: drip campaigns, welcome series, win-back flows, or trigger-based automations. NOT FOR: cold prospecting (use suede-cold-email), SMS as part of the same lifecycle program (use suede-sms), in-product activation flows (use suede-onboarding), or lifecycle-stage operations beyond email (use suede-revops).
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。
Suede-affiliated recurring marketing workflow design for cadence, inputs, decision rules, checkpoints, failure states, and measurable outputs. Use when the user wants repeatable ad-fatigue, content-refresh, churn-watch, ranking-drop, or weekly-review loops. NOT FOR: one-off tactic ideation (use suede-marketing-ideas), experiment design (use suede-ab-testing), or creating a live automation without explicit scheduling authority.
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。