应用从 AI for Everyone 蒸馏出的「ML项目流程 — 收集→训练→部署→迭代」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ml-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。
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概要と使いどころ
应用从 AI for Everyone 蒸馏出的「ML项目流程 — 收集→训练→部署→迭代」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ml-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。
应用从 AI for Everyone 蒸馏出的「分层AI培训 — 高管/经理/工程师的差异化学习」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to role-tiered-training.
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。
应用从 AI for Everyone 蒸馏出的「数据飞轮 — AI产品自我强化的增长引擎」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to data-flywheel.
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。
应用从 AI for Everyone 蒸馏出的「从小处着手+寻找伙伴 — AI入门的行动原则」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to start-small-find-partner.
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。
应用从 AI for Everyone 蒸馏出的「统计化验收标准 — 不追求100%准确」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to statistical-acceptance.
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。
应用从 AI for Everyone 蒸馏出的「不在火车前冲刺 — AI自建vs购买决策框架」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to build-vs-buy.
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。
应用从 AI for Everyone 蒸馏出的「ML产出软件,DS产出洞察 — 项目类型判定框架」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ml-vs-ds.
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。
应用从 AI for Everyone 蒸馏出的「AI转型五步指南 — 组织变革路线图」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ai-transformation-playbook.
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。
应用从 AI for Everyone 蒸馏出的「AI价值驱动三途径 — 降本/增收/新业务」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to three-value-drivers.
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。
应用从 AI for Everyone 蒸馏出的「统一数据仓库 — AI的数据基础设施」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to unified-data-warehouse.
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。
应用从 AI for Everyone 蒸馏出的「AI战略护城河 — 用AI构建可持续竞争优势」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ai-strategy-moat.
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。
应用从 AI for Everyone 蒸馏出的「AI项目生命周期 — 从立项到落地的完整流程」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to ai-project-lifecycle.
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。
应用从 AI for Everyone 蒸馏出的「训练集/测试集分离 — AI的'科学方法」方法论。Use when the user needs practical guidance, diagnosis, workflow design, decision support, or an action plan related to train-test-split.
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。
Fix a bug or problem. Supports fix-now or plan-first; no args executes FIX_PLAN.md. When a regression check is needed, reproduce first, then implement and rerun it. Adds logging and suggests extra coverage.
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。
Menu engineering analysis — item placement, description quality, pricing psychology, upsell opportunities, photo presence, Kasavana matrix (Stars/Plowhorses/Puzzles/Dogs)
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。
Score a PhD applicant's profile and rank candidate advisors using a connection-first 4.0-scale scoring system. Best-supported for physics / HEP and materials science (MSE), with the scoring engine extensible to chemistry, biology, CS, math, EE, ChemE, earth science (each with field-specific caveats — see references/journal_tiers.md). Use when the user wants to evaluate their PhD application chances, find matching advisors at top US programs, score a CV for graduate school, or compare candidate professors. Also triggers when the user mentions phdtaketaketake or its connection-first philosophy of valuing advisor network over h-index.
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 branded 试界TryWorld AI-knowledge videos in the fixed "Paper Algorithm" (纸上算法) style with HyperFrames. Input is a Chinese voiceover script and optional images; output is a 16:9 horizontal video with Azure YunxiNeural (真·云希) voiceover, word-synced captions, ink/paper animations and unified transitions, an always-visible anti-counterfeit red seal, plus horizontal (4:3) and vertical (3:4) cover images and platform-optimized titles for Bilibili/Douyin/Xiaohongshu. Brand values are theme-driven (themes/paper-algorithm.json by default; custom brand themes supported — see references/theme-guide.md). Use when the user provides an AI 科普/教程/内容解读/知识分享 script and wants a TryWorld/试界 branded video, asks for the 纸上算法/Paper Algorithm style, wants a consistent script-to-video pipeline with covers and titles, or wants this pipeline with their own brand theme.
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。
Analyze Ascend NPU computation-side profiling data for single-card runs or a selected rank from multi-card runs. Use this skill when the user asks to diagnose computation bottlenecks, AI Core / AI Vector / AICPU hotspots, dynamic shape overhead, block dim issues, redundant TransData/Transpose/Cast, cross-stream waits, frequency/runtime-state issues, or fusion opportunities.
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。
Reorganize label-heavy or netlist-like electronic schematics into human-readable functional diagrams with visible local wiring while preserving proven connectivity. Use for schematic readability correction, overlapping wires or symbols, visually floating connectors or support logic, functional-sheet restructuring, bus presentation, layout annotations, or multi-EDA handoff across KiCad, Altium, EasyEDA, EAGLE/Fusion, gEDA/Lepton, SPICE/netlist, and PDF/image sources.
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。
Technical Analysis skill — price action, indicators (RSI/MACD/Stochastic), chart patterns, support/resistance, volume, Bollinger Bands, and relative strength vs SPY. Returns Technical Score (0-100). Triggered by "trade technical <TICKER>".
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。
Find realistic link prospects with SERP and backlink evidence, discover contact paths via web tools, and draft personalized outreach — with targets saved to .seo/backlink-targets.json for off-page-seo campaigns. Use this skill when the user has a linkable asset (study, tool, guide, template, product page) and wants backlinks, resource-page inclusions, or comparison mentions. Triggers: "link prospecting", "find backlink opportunities", "resource page outreach", "get backlinks for", "link building outreach".
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。
End-to-end social content campaign pipeline. Takes a marketing goal and produces scheduled, on-brand social posts with visuals across postiz-supported platforms, while keeping Typefully for X/thread specialist flows and fallback coverage. Chains: CMO strategy, content writing with voice calibration, AI slop audit, selective Paper MCP visual design, and routed scheduling via postiz or Typefully. Each phase has a human gate. Use this skill whenever someone wants to plan and execute a batch of social posts — not just one-off tweets. Triggers include: "social campaign", "schedule posts", "pre-launch content", "content calendar", "social content pipeline", "build up content", "I need social media content for my launch", "help me build social presence", "plan a week of posts", "batch social content", "social media strategy", or any request involving multiple scheduled posts with optional visuals.
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 images using the brand's visual identity and Gemini API. Reads brand/creative-kit.md for visual style, crafts narrative prompts, and produces images via Nano Banana Pro (gemini-3-pro-image-preview). Supports on-brand and freestyle modes. Use when the user needs a blog header, social graphic, product shot, hero image, banner, thumbnail, or any generated image. Also use proactively when building content that would benefit from visuals. Triggers on "generate image", "create image", "make me an image", "blog header", "social graphic", "product shot", "hero image", "banner", "thumbnail", "I need an image", "visual for", or any request for generated artwork. Even if they just say "image" or "picture for this" — this is the skill.
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 and analyze competitors to find positioning gaps and strategic opportunities. Use this skill whenever the user mentions competitors, competitive analysis, competitor teardown, market landscape, 'who else does this', 'how are we different', or competitor research. Also trigger when the user is entering a new market, when positioning feels weak or generic, when preparing for a launch, when any downstream skill needs competitors.md but it doesn't exist, or when the user asks about differentiation or market gaps. Even if the user just names a competitor casually ('what does X do?'), this skill likely applies. Three modes: Quick Scan, Deep Teardown, Gap Finder.
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。