654 件 ・ 関連度順
概要と使いどころ
Configure optional customer-owned Application Insights telemetry for a Power Apps mobile app — enable it against an existing Azure resource, change the resource, or disable it. Standalone, and invoked by /edit-app.
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。
Productboard expert for workspace setup, Insight-to-Feature triage, Driver scoring, Releases, Roadmap views, and REST API automation. Use for Productboard administration, prioritization workflows, and programmatic API operations.
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 budgeting and funding operations — study budget construction, cost per participant and per insight, burn against milestones, and portfolio prioritisation by decision value. Use when costing, tracking, or ranking research.
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。
People analytics across workforce metrics, predictive modeling, and employee insights. Use when building turnover models, analyzing engagement surveys, running pay equity regressions, or scoring flight risk.
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 knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing Synapse workspaces, SQL/dedicated pools, serverless SQL, Spark pools, or Synapse Link for Cosmos DB, and other Azure Synapse Analytics related development tasks. Not for Azure Data Factory (use azure-data-factory), Azure Data Explorer (use azure-data-explorer), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
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 knowledge for Azure Operator Service Manager development including troubleshooting, best practices, security, configuration, and integrations & coding patterns. Use when onboarding CNFs/VNFs, designing config groups, managing ACR artifacts, using ARM/CLI, or securing with Private Link, and other Azure Operator Service Manager related development tasks. Not for Azure Operator Nexus (use azure-operator-nexus), Azure Operator Insights (use azure-operator-insights), Azure Network Function Manager (use azure-network-function-manager), Azure Networking (use azure-networking).
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 knowledge for Azure Operator Nexus development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and deployment. Use when configuring Nexus fabric ACLs/BGP, securing RBAC/SSH, planning cluster placement, or diagnosing fabric/K8s issues, and other Azure Operator Nexus related development tasks. Not for Azure Operator Insights (use azure-operator-insights), Azure Operator Service Manager (use azure-operator-service-manager), Azure Networking (use azure-networking), Azure Virtual Network (use azure-virtual-network).
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 knowledge for Azure Quantum development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using QDK with Python/Q#, OpenQASM or hybrid jobs, Rigetti/IonQ targets, QIR jobs, or Bicep/CLI workspace deploys, and other Azure Quantum related development tasks. Not for Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning), Azure Synapse Analytics (use azure-synapse-analytics).
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 knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using AutoML, Prompt Flow, online/batch endpoints, vector stores/RAG, or MLflow/ONNX deployments, and other Azure Machine Learning related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Data Science Virtual Machines (use azure-data-science-vm), Azure HDInsight (use azure-hdinsight).
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 knowledge for Azure Data Explorer development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when securing ADX (RBAC/MI), automating cluster/schema deploys, tuning ingestion/queries, or integrating via ODBC/JDBC/Power BI, and other Azure Data Explorer related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Stream Analytics (use azure-stream-analytics).
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 knowledge for Azure CycleCloud development including troubleshooting, best practices, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when automating CycleCloud via API/CLI/SDK, configuring Slurm clusters, tuning HB/HC VMs, or securing access, and other Azure CycleCloud related development tasks. Not for Azure Batch (use azure-batch), Azure HDInsight (use azure-hdinsight), Azure Databricks (use azure-databricks), Azure Kubernetes Service (AKS) (use azure-kubernetes-service).
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 knowledge for Azure Data Science Virtual Machines development including troubleshooting, decision making, architecture & design patterns, security, configuration, integrations & coding patterns, and deployment. Use when managing DSVM images/tools, IaC deployment (Bicep/ARM), Key Vault secrets, MLflow, or GPU/Jupyter issues, and other Azure Data Science Virtual Machines related development tasks. Not for Azure Virtual Machines (use azure-virtual-machines), Azure Machine Learning (use azure-machine-learning), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight).
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 knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with Unity Catalog, Lakehouse/Lakeflow, Lakebase, AI Runtime/model serving, or external connectors, and other Azure Databricks related development tasks. Not for Azure Synapse Analytics (use azure-synapse-analytics), Azure HDInsight (use azure-hdinsight), Azure Machine Learning (use azure-machine-learning), Azure Data Factory (use azure-data-factory).
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 knowledge for Azure Anyscale On Azure development including limits & quotas, security, configuration, and deployment. Use when authoring ARM templates, hardening images, configuring Private Link, or checking Anyscale regional availability, and other Azure Anyscale On Azure related development tasks. Not for Azure Databricks (use azure-databricks), Azure Machine Learning (use azure-machine-learning), Azure HDInsight (use azure-hdinsight).
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。
Deconstruct and analyze video ad creatives for marketing insights. Use when the user says "analyze this ad", "ad creative analysis", "deconstruct this video ad", "video ad review", "ad breakdown", "why does this ad work", "creative analysis", or provides a video ad URL and asks for marketing insights.
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。
Dung khi bat dau lam viec voi mot san pham hoac khach hang moi — skill nay tao FILE CONTEXT ma hon 60 skill khac se doc, gom san pham, khach hang, dinh vi, proof, objection, brand voice va KPI. Chay mot lan, dung lai mai ve sau. Kich hoat khi user nhac 'tao context', 'setup product marketing context', 'bat dau du an moi', 'AI chua hieu san pham cua toi', 'khai bao thong tin san pham'. Khong dung cho — context cho thuong hieu CA NHAN thi dung skill 22-personal-brand-context; nghien cuu insight sau thi dung skill 09-insight-khach-hang.
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。
Dung khi can hieu khach hang du sau de viet duoc content va chon duoc tep — persona 3 tang, cau noi noi tam, pain map, objection list va ngan hang ngon ngu khach hang lay tu review va inbox that. Kich hoat khi user nhac 'insight khach hang', 'chan dung khach hang', 'customer persona', 'khach hang cua toi la ai', 'khach nghi gi', 'ho mua vi ly do gi'. Khong dung cho — thu thap thong tin khi agency nhan khach moi thi dung skill 20-brief-client-intake; nghien cuu tep de chay ads thi dung skill 51-audience-research.
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。
Dung khi co data tho tu Meta, TikTok, GA4, CRM hay Google Sheet va can bien thanh insight ra quyet dinh duoc — kem decision log ghi quyet dinh, can cu, tac dong ky vong va ngay review lai. Kich hoat khi user nhac 'phan tich du lieu', 'doc so lieu nay', 'export data ra insight', 'so nay noi len dieu gi', 'lam decision log', 'cohort analysis'. Khong dung cho — chan doan tai sao ads kem thi dung skill 03-danh-gia-hieu-suat; viet bao cao trinh bay thi dung skill 07-bao-cao-marketing.
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。
Dung khi agency hoac freelancer nhan khach moi va can CHINH KHACH DIEN thong tin dau vao — form 11 phan ve san pham, muc tieu, ngan sach, kenh dang chay, doi thu, tai san san co, kem 20 ban toi uu theo tung nganh. Kich hoat khi user nhac 'brief khach hang', 'client intake', 'form khach dien', 'nhan khach moi', 'hoi khach nhung gi', 'chua biet gi ve khach', 'onboard khach hang moi', 'questionnaire cho khach'. Khong dung cho — tao file context noi bo cho san pham cua chinh minh thi dung skill product-marketing-context; dao sau insight khach hang cuoi thi dung skill 09-insight-khach-hang; brief NGUOC ra cho agency hoac vendor lam thi dung skill 67-agency-vendor-brief.
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。
Dung khi can viet bao cao marketing cho nguoi khac doc — weekly 1 trang cho CEO, monthly day du, hoac strategy report theo quy. Cau truc TL;DR, so vs target, insight, quyet dinh can duyet, viec tiep theo. Kich hoat khi user nhac 'bao cao marketing', 'report thang', 'weekly update cho sep', 'tong ket quy', 'lam bao cao cho khach hang', 'bao cao content'. Khong dung cho — chan doan tai sao so xau thi dung skill 03-danh-gia-hieu-suat; bien data tho thanh insight thi dung skill 13-phan-tich-du-lieu.
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 needs to WRITE a marketing report someone else will read — a one-page weekly for a CEO, a full monthly, or a quarterly strategy report with TL;DR, results versus target, insight, decisions needed, and next actions with owners. Trigger on 'marketing report', 'monthly report', 'weekly update for my boss', 'report for the client', 'quarterly summary', 'turn these numbers into a report'. Also use when the user says a stakeholder is asking how marketing is doing. Not for — diagnosing why the numbers are bad, see `03-performance-eval-global`; turning a raw export into insight, see `13-data-analysis-global`; a closed campaign retrospective, see `63-campaign-retrospective-global`.
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 raw data exists — Meta, Google, TikTok, GA4, Shopify, a CRM export, or a spreadsheet — and has to become insight and decisions: descriptive, diagnostic, predictive, and prescriptive layers, cuts by channel, campaign, creative, audience, and time, cohorts, and a decision log. Trigger on 'analyze this data', 'read these numbers for me', 'what does this export say', 'pull insight from GA4', 'cohort analysis', 'here is the spreadsheet'. Also use when the user pastes a table and asks what it means. Not for — diagnosing ad root cause, see `03-performance-eval-global`; writing the report a stakeholder reads, see `07-marketing-report-global`; auditing account setup, see `21-ads-audit-global`.
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 needs to understand customers deeply enough to write copy and pick targeting — consumer versus shopper, JTBD, layered persona, internal monologue, pain map, objection list, journey map, and a customer language bank pulled from real reviews and DMs. Trigger on 'customer insight', 'buyer persona', 'who is my customer', 'what do they actually want', 'jobs to be done', 'why do they hesitate before buying'. Also use when the user cannot explain who the product is for. Not for — intake questions when an agency signs a new client, see `20-client-intake-brief-global`; paid audience targeting setup, see `51-audience-research-global`; competitor study, see `08-competitor-research-global`.
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。
Sif 关键词动态跟踪（Skill 2）。同一 ASIN 有历史时由 sif-keyword-scout 自动触发， 按 1~7 天窗口对比 PD 主攻词单，输出词库更新报告。Agent 必须写 insights_tracker.md， 且在写 insights 前完成暂停点 ③ 与用户确认投放策略。
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。