137건 · 관련도순
Assess how your product team uses AI across five capabilities, from shared context to team review practices. Identify whether work is simply faster or fundamentally redesigned, and choose which capability to strengthen next.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Compare a previous PESTEL analysis of political, economic, social, technological, environmental, and legal factors with current evidence. Identify meaningful changes and broken assumptions, then summarize their implications for strategy and product plans with sources.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn stakeholder requests into measurable goals, customer problems, possible solutions, and experiments. Through guided discussion, compare feasibility, expected impact, and customer fit to choose a proof of concept: a small test of a proposed solution.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Work through the move from product manager to Director with questions tailored to your stage. Get practical recommendations for promotion preparation, interviews, early leadership challenges, or persistent difficulties in the role.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
Turn product management notes, frameworks, or rough ideas into a complete SKILL.md draft. Guided questions help choose the skill type, narrow its purpose, and organize instructions, examples, and common mistakes into the required structure.
한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.
[omh] Attack paths into an operated system: turn a system's components and data flows into assets, trust boundaries, attack scenarios, controls, and the security test that proves each control holds. Use when the user says: application-threat-model, application threat model, threat model, threat modeling, threat modelling, threat modeling session, threat modeling workshop, security threat model.
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Migrate workloads from Microsoft Azure to AWS. Triggers on: migrate from Azure, Azure to AWS, move off Azure, migrate AKS to EKS, migrate App Service or Azure VMs to AWS compute, migrate Azure SQL or Azure Database to RDS, migrate Cosmos DB to DynamoDB, migrate Azure OpenAI to Bedrock, move Azure AI or agentic workloads to AWS, estimate AWS costs for my Azure infrastructure, what-if workshop. Runs a 6-phase process: discover Azure resources from Terraform, the live `az` CLI, app code, and billing exports, then clarify, design, estimate costs, optionally reprice scenarios, generate artifacts, and collect feedback. Clarify gates Design, Estimate, and Generate; Generate is opt-in at the post-Estimate decision gate. Bicep/ARM discovery is not yet implemented; a Bicep/ARM-only workspace halts. Do not use for: GCP migrations (see gcp-to-aws), Heroku migrations (see heroku-to-aws), general AWS architecture advice (see architect-for-startups), AWS-to-Azure reverse migration, or Azure-to-Azure refactoring.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Define product positioning by mapping competitive alternatives, unique attributes, and best-fit customers to the right market category. Use when the user mentions "positioning", "competitive alternatives", "how to position", "market category", "positioning canvas", "repositioning", "category creation", "what category are we in", or "why prospects dont get what we do". Also trigger when launching a new product, entering a crowded market, or diagnosing why prospects dont grasp the product's value. Covers the positioning canvas and team workshops. For customer jobs analysis, see jobs-to-be-done. For go-to-market, see crossing-the-chasm.
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The SRE team's runbook for triaging production latency and error-rate incidents. Use this whenever investigating an incident, a latency spike, elevated error rates, or when asked "what caused X" about a production service.
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How the SRE team writes a postmortem PDF. Use this whenever asked for a postmortem, an incident report, a write-up to share, or a PDF of what happened.
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How to rank and pick a supplier for a SKU. Load this whenever a task involves choosing a supplier, comparing quotes, or creating a purchase order.
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How to pull SEC EDGAR data with the edgartools Python package — company lookup, filings, XBRL financial statements, and filing sections like Item 1A risk factors. Use whenever a task involves SEC filings, 10-K/10-Q data, or company financials.
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Where diamonds spawn in Minecraft 1.20.
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How to produce a demand forecast for a SKU, and when to delegate that to a subagent vs. compute it yourself. Load this for any task involving "forecast", "how much will we sell", "next month", promos, or seasonal SKUs.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Fixed-format templates for Slack alerts, supplier emails, and escalations. Load this whenever the task is "notify", "alert", "email", or "tell ops".
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How to decide whether and how much to reorder a SKU. Load this whenever a task involves reorder recommendations, purchase orders, or "should we restock" questions.
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Structure and data sources for the weekly inventory report. Load this when the task is "weekly report", "Monday report", or "summarize inventory status".
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This is a summary the advantages and disadvantages of earthquake event detection and phase picking methods, shared by leading seismology researchers at the 2025 Earthquake Catalog Workshop. Use it when you have a seismic phase picking task at hand.
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Places existing images onto an Excalidraw whiteboard, turns a slide deck into clean per-slide images, and inspects a .excalidraw file. Use whenever someone mentions Excalidraw, a whiteboard/canvas, .excalidraw, 白板 or 画板 — e.g. "put these screenshots on my board" — or a workshop delivered by hand-drawing over screenshots on a shared canvas. Not for generating a diagram from a text description.
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Use when asked 5S 检查表, 6S 管理, 现场管理检查, 5S 评分标准, 车间 6S 稽核, 做一份 5S 推行计划, or design a 5S or 6S audit for a workshop, warehouse or office in a Chinese factory. Produces an audit checklist for the area with scored criteria for 整理, 整顿, 清扫, 清洁, 素养 (and 安全 for 6S), a scoring guide with photo evidence rules, a results summary and red-tag list, a corrective-action tracker with owners and dates, and an audit rota, in Chinese.
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AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2 调用。
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交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。 框架无关设计优先，支持 LangChain / EINO / AutoGen / AgentScope / CrewAI 等 ADK 框架。
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ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。 每个框架 reference 文件标注 verified_date 用于版本锁定。
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Use when positioning an AISTATS submission against AI, machine-learning, statistics, and uncertainty literature, including arXiv preprints, workshop versions, concurrent submissions, prior conference versions, PMLR archival status, and the two-community citation coverage that AISTATS reviewers expect.
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