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概要と使いどころ
Пишет unit-тесты для указанного файла или функции в стиле существующих тестов проекта. Используй, когда просят добавить тесты, покрыть код тестами или проверить граничные случаи.
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。
Генерирует release notes / CHANGELOG между двумя тегами или от последнего тега. Используй, когда просят release notes, changelog или список изменений релиза.
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。
Готовит заголовок и описание pull request по изменениям в ветке. Используй, когда просят описать PR, подготовить pull request или написать описание изменений.
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 original short videos using the 规则闯关｜吸收能力后从平面赛道升维 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and 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。
Create original short videos using the 图形赛道｜穿越圆门、障碍升级与单人收束 Creative DNA for MiniMax H3 or Seedance 2.0. Use when the user wants this causal, camera, motion, rhythm, or payoff structure with new subjects and 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。
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 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。
Use when choosing between engines or models for an agent pipeline and the answer must come from measurement on your own data, not from marketing pages: speech recognition for meeting recordings, the model that turns a transcript into notes, the critic model that checks it. Runs every variant in an isolated container, measures time, cost per hour of input (USD and RUB, with price source and date) and quality (WER/CER and course terms for ASR; code checks plus a judge of a different model for LLM steps), writes results.json/csv and one static analytics page. Triggers on "бенчмарк", "сравни движки", "сколько стоит час записи", "какую модель взять для пайплайна", "benchmark the pipeline", "compare ASR engines".
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。
Think and work like an expert Gerontologist. Use when a task calls for Gerontologist judgment. Reasons from senescence hallmarks, frailty, multi-morbidity, and life-course exposures through validated instruments (Fried phenotype, Rockwood CFS, SPPB/gait speed), epigenetic clocks (Horvath, PhenoAge, GrimAge), competing-risk survival (Fine-Gray), and NIA cohorts (HRS, NHATS, ITP) while treating survivor bias, differential attrition, healthy-volunteer bias, and frail-subset toxicity as first-class failure modes.
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 folders, codebases, websites, PDFs, documents, and research topics into source-grounded HTML documents, deterministic narrated videos, or complete learning courses; also publishes and revises collaborative HTML pages through the HTML Docs CLI, REST API, and MCP server.
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。
将学术论文转换为交互式 HTML 课程 + Markdown 文档 + PPTX 演示文稿，一键生成全部三种输出
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 learner asks for help with MATLAB homework, labs, projects, graded assignments, take-home exams, quizzes, or any programming task where academic integrity, course policy, or instructor constraints may limit direct solutions. Use to provide policy-aware hints, conceptual coaching, partial feedback, and assignment-safe MATLAB tutoring.
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 instructor wants to create, interview for, configure, install, update, or review a course AI-use policy for MATLAB AI tutoring. Produces an AI-POLICY.md file for LMS sharing and local tutoring-session enforcement by assignment guardrails.
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 exercise directory structures with sections, problems, solutions, and explainers that pass linting. Use when user wants to scaffold exercises, create exercise stubs, or set up a new course section.
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 when tempted to ask 'should I do X?' on reversible work. Proceed, present the result, let the human course-correct after the fact; reserve confirmation for irreversible 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。
Expert in applying AI to education - AI tutors, personalized learning paths, content generation, automated assessments, and adaptive learning systems. Covers practical implementation of AI to enhance (not replace) human instruction. Use when "ai tutor, ai for learning, personalized learning, adaptive learning, ai assessment, generate course content, ai education, " mentioned.
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。
Hamel Husain (@HamelHusain) 视角. 服务咨询派 + practitioner-as-figure 代表, 「evals are the new code」论断的提出者. ex-Airbnb / GitHub principal eng → 2017 起做 independent ML/AI consultant (parlance-labs) → 2023+ 转向 AI evals 专精. hamel.dev 长文 corpus (40+ 篇 1500+ words technical) + Maven「AI Evals for Engineers」课程 (3000+ paid 学员, 与 Shreya Shankar 共同主理). 在 monetize-agents 行业里代表「不规模化 / 不 productize 成 SaaS / 不融资」的第三条路 — independent consultant + course creator. 用途: 当用户面临「AI agent 上线不可靠 / 客户卡在 prompt 调不动 / 该不该雇团队 / 该不该做 SaaS / 怎样把 expertise productize 成课程而非公司」类问题时, 切换到这副镜片.
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 developmental psychopathology and longitudinal research frameworks of Terrie E. Moffitt (psychologist, Duke University). Use this skill whenever reasoning about human development, criminology, juvenile delinquency, self-control, mental health trajectories, or biological aging. Trigger this when asked to evaluate the origins of antisocial behavior, the impact of childhood traits on adult outcomes, the validity of psychiatric diagnoses (comorbidity), or anti-aging interventions. Apply her models to shift focus from cross-sectional snapshots to longitudinal life-course trajectories, emphasizing the 'p' factor, the self-control gradient, and the dual taxonomy of antisocial behavior.
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。
Use this skill whenever you are reasoning about public health policy, cancer prevention, epidemiological study design, clinical risk models, or weight management advice. This skill channels the thinking of Graham A. Colditz, epidemiologist at Washington University in St. Louis. Reach for this when evaluating lifestyle interventions, designing disease prevention programs, critiquing clinical prediction tools (e.g., AUC vs. clinical utility), or analyzing life-course risk accumulation. Apply his frameworks to bridge the "implementation gap" between scientific knowledge and societal action, prioritizing prevention over treatment and attainable weight maintenance over drastic weight loss.
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。
Suede-affiliated offer design for value framing, bonuses, guarantees, risk reversal, honest scarcity, naming, and payment structure. Use when the user is building or diagnosing a service, course, coaching, information-product, agency, or high-ticket B2B offer. NOT FOR: SaaS tier and value-metric architecture (use suede-pricing), sales-page copy (use suede-copy), or in-product upgrade prompts (use suede-paywalls).
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 launch packaging and install verification. Use when finished software work needs a clean public package (README, docs page, install command, release note, GitHub Pages update, skill-pack release, MCP server, or launch/social copy) or when a release needs handoff notes, an install fails, a public user cannot add a skill, a raw-vs-blob URL returns HTML, or `@personal` or a local plugin alias leaks into public docs. Verifies the live URL and runs the exact install command from a clean temporary directory before anything is called live. NOT FOR: product, course, or artist campaign launches (use suede-campaign-in-a-box or suede-marketing-plan); writing announcement copy from scratch (use suede-copy); MCP tool-catalog QA (use suede-mcp-qa); landing-page conversion work (use suede-site-alchemy).
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 and grow online communities across all platforms and contexts — from developer/B2B communities (Discord, Slack, Circle, Discourse) to social communities (Twitter/X, Reddit, Farcaster) to crypto/holder communities (Telegram). Covers strategy, platform selection, channel architecture, member journey mapping, onboarding, engagement rituals, ambassador/champions programs, moderation, governance, growth, retention, crisis management, and metrics. Use for: community-led growth, community strategy, developer community, user community, Discord/Slack/forum/Telegram setup, ambassador programs, community health, holder psychology, engagement systems, social community building, cross-platform coordination.
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。