teach
無料Teach the user a new skill or concept, within this workspace.
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。
3,180 件 ・ 関連度順
概要と使いどころ
Teach the user a new skill or concept, within this workspace.
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。
TRIGGER when: user asks to draw, illustrate, or visualize any process, structure, or concept — "画个流程图", "draw an architecture diagram", "帮我画个对比图", "visualize this process", "make a diagram for this doc", or mentions 流程图/架构图/示意图/对比图/时序图/泳道图/时间线. Also trigger when user provides a document/article and asks for illustrations or diagrams. DO NOT trigger for: chart/plot requests (bar charts, line graphs — those need a charting library, not draw.io), or artistic image requests (logos, mascots, drawings of objects/people — those need an image tool).
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。
Guides Lovart Agent from one visual reference to a coherent brand system, campaign assets, and packaging concepts through a gated creative-direction workflow.
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。
Bug bounty report triage, validation, and severity escalation. Use when the user provides a bug bounty report to validate, wants to check if a finding is submittable, needs to escalate severity for maximum payout, or says 'triage this', 'validate this report', 'escalate this', 'is this submittable', 'check this bounty report', 'max bounty', or 'will this get accepted'.
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。
Computes a numeric or categorical answer to a quantitative data-science question by cleaning and analyzing local data files (CSV, Excel, TSV, and scientific formats .npz/.fits/.h5) with pandas, numpy, and scipy. Use whenever a task ships its own dataset (in whatever local directory it provides) and asks you to derive a value via statistical, geospatial, temporal, ratio, percentage, growth-rate, correlation, signal-processing, orbital, or forecasting analysis. Spans domains including archeology (demographics, paleoclimate proxies, radiocarbon dating, historical conflicts); biomedical/bioinformatics (tumor histology, genes, proteins, peptides, genomic variants); environmental (water quality, bacterial/Enterococcus exceedance, rainfall correlations, environmental justice); legal/consumer (fraud, identity theft, consumer complaints by state/metro); wildfire (incidents, causes, suppression costs, acres burned, fatalities, geospatial intersections); and astronomy/heliophysics/space weather (satellite telemetry TLE/Swarm/SP3, indices OMNI/GOES, solar activity, atmospheric density, orbital mechanics, forecasting).
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。
EXPERIMENTAL. Use when code needs a security review against the OWASP Top 10:2025 — access control, misconfiguration, supply chain, cryptography, injection, insecure design, authentication, integrity, logging and alerting, and mishandled exceptional conditions. Not for penetration testing a running system, not for infrastructure-only scanning, and not for fixing what it finds.
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。
Write, review, and edit developer documentation for SDKs, libraries, and frameworks, including sites such as ai-sdk.dev and chat-sdk.dev. Use for getting-started guides, tutorials, API references, conceptual explanations, integration guides, migration guides, troubleshooting, and code examples.
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。
Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp "what if" provocations, branches each one outward, and delivers a fully-expanded mind map image plus the written wonderings. Fire this when the person signals they want to open up a space and think alongside you — "wonder about X", "what are the weird angles on X", "help me think about what this could be", "I want to explore, not decide yet" — or when they invoke /wonder or /wonderpill. Do NOT fire when the same topic is attached to a request for concrete, usable, or decided output: a named deliverable, a count ("give me 5 names"), a deadline ("ideas I can ship this week"), or a "which / what should I pick" question — those want straight answers, not a wonder pill. When it is genuinely unclear which they want, this skill opens by asking one line rather than branching. Not for factual lookups or executing a plan already chosen.
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。
Turns open-ended requests into things to think WITH instead of answers to accept. Audits the hidden assumptions inside a topic, inverts them into sharp "what if" provocations, branches each one outward, and delivers a mind map plus written wonderings. Portable version, no vendor-specific tools required, works on any conversational assistant. Fire this when the person signals they want to open up a space and think alongside the assistant: "wonder about X", "what are the weird angles on X", "help me think about what this could be", "I want to explore, not decide yet". Do NOT fire when the same topic is attached to a request for concrete, usable, or decided output: a named deliverable, a count ("give me 5 names"), a deadline, or a "which / what should I pick" question. When it is genuinely unclear which they want, this skill opens by asking one line rather than branching. Not for factual lookups or executing a plan already chosen.
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 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。
Applies the analytical and therapeutic philosophy of Ludwig Wittgenstein, 20th-century philosopher of language (Tractatus / Philosophical Investigations). Use this skill when the user is stuck in conceptual confusion, debating semantics, trapped by abstract definitions, or trying to solve a problem that is actually just a linguistic misunderstanding. Trigger this for topics involving the limits of language, meaning as use, logical clarification, or when the user is over-theorizing instead of looking at practical applications. It helps dissolve 'fly-bottle' traps by examining how words are actually used in 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。
Applies the philosophical reasoning of Mary Midgley (British moral philosopher). Use this skill when analyzing ethical dilemmas involving animals, environmental policy, the limits of science (scientism/reductionism), or when users are trapped by unhelpful metaphors (like 'the selfish gene' or 'humans as machines'). Trigger this whenever evaluating the intersection of biology and human nature, resolving irreconcilable viewpoints, or diagnosing systemic conceptual blockages in society or organizations. Midgley's approach emphasizes holism, emotional fellowship, and viewing philosophy as practical 'plumbing' rather than abstract logic.
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 computational biology and AI-driven reasoning of Aviv Regev (computational biologist, Genentech, single-cell genomics). Use this skill whenever the user is dealing with experimental design, high-dimensional data analysis, integrating AI into scientific workflows, scaling biological research, or navigating noisy, complex systems. Trigger this for topics like single-cell genomics, drug discovery, biological atlases, interdisciplinary research strategy, or when deciding between depth vs. breadth in data collection.
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 empiricist, skeptical, and practical reasoning of David Hume, 18th-century Scottish philosopher. Use this skill whenever you encounter questions about epistemology, causality, human nature, moral philosophy, political authority, or the limits of rational knowledge. Trigger this skill when the user is grappling with abstract theories that need grounding, evaluating causal claims, discussing the role of emotion vs. reason in decision-making, or questioning the legitimacy of institutions. Even if the user doesn't name Hume, apply his frameworks (like Hume's Fork or the Impression Test) to cut through metaphysical speculation, ground arguments in observable experience, and recognize that reason is ultimately guided by human sentiment.
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 frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.
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 Kaiming He, computer vision pioneer and creator of ResNet. Use this skill whenever you are designing deep learning architectures, debugging neural network optimization, formulating generative AI problems, or bridging AI with other scientific domains. Trigger this skill for discussions on network depth, weight initialization, residual learning, flow matching, or when reframing discriminative tasks as conditional generation. It emphasizes simplicity in complex visual problems, end-to-end optimization, and viewing AI as a universal language for science.
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 Judy Faulkner, founder and CEO of Epic Systems, to decisions around corporate governance, healthcare technology, and unconventional leadership. Use this skill whenever Claude is asked for advice on going public vs. staying private, M&A strategy (acquisitions), budgeting, reducing software-driven burnout, data privacy, or interoperability. Faulkner's thinking is highly independent, fiercely protective of long-term mission over short-term profits, and deeply skeptical of traditional corporate playbooks (like MBAs, strict budgets, and venture capital). Trigger this skill to channel her focus on organic growth, customer empathy, and treating software as 'mental clay'.
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。
Refine rendered finish at accepted viewports.
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。
Research with scoped depth and counterevidence.
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 marketing video planning and production discipline. Use when choosing a format, scripting, storyboarding, generating, editing, reverse-engineering pacing, building a repeatable video pipeline, or repurposing one source into multiple cuts. NOT FOR: deciding the social calendar (use suede-social), paid ad concepts (use suede-ad-creative), image-only assets (use suede-image), or publishing unapproved media.
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 Labs skill that prepares a song for sync pitching: scene and emotional angles, a supervisor-facing one-sheet, an exists/missing/unknown asset checklist covering master, instrumental, clean, and stems, screened lyric flags, mood tags, and the open clearance questions kept in their own labeled pile. Use when a track is headed for film, TV, ads, games, trailers, or creator campaigns; when a music supervisor, sync agent, or brand asks what a song is and whether it can be used; or when someone asks for a one-sheet, pitch email, or sync package for a release. Prepares review-ready materials only: never claims clearance, promises placement, or sends outreach. NOT FOR: finding and organizing the rights gaps behind an open clearance question (use suede-rights-audit); building the rights transfer package (use suede-rights-passport); linting the release folder itself (use suede-release-linter); a full rollout campaign (use suede-campaign-in-a-box).
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 ethical application of behavioral science to marketing decisions, including framing, anchoring, social proof, loss aversion, choice architecture, and friction. Use when the user needs a named psychological model, an evidence-aware application, and a testable hypothesis. NOT FOR: clinical or mental-health advice, deceptive dark patterns, page implementation (use suede-site-alchemy), or pricing design (use suede-pricing).
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 paid-media creative system for hooks, headlines, primary text, static and motion concepts, platform specs, review pages, and test-ready variant batches. Use when producing or iterating ad creative from grounded product and audience inputs. NOT FOR: campaign budgets, bidding, or targeting (use suede-ads), statistical test design (use suede-ab-testing), or landing-page copy (use suede-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。