459 件 ・ 関連度順
概要と使いどころ
Use when working with Azure Sql — azure SQL Database DTU/vCore analysis, query performance insights, elastic pool management, geo-replication status, and database health monitoring via Azure CLI.
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 working with Gcp Alloydb — google AlloyDB cluster management, instance analysis, query insights, maintenance window configuration, and performance diagnostics via gcloud CLI.
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 working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.
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 working with Aws Ecs — aWS ECS cluster health, service status, task analysis, capacity provider management, and deployment tracking. Covers service stability, task failure investigation, container insights, resource utilization, and scaling analysis.
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 working with Aws Cloudwatch Logs — aWS CloudWatch Logs group management, Logs Insights query execution, metric filter analysis, retention policy review, and subscription filter management. Covers log group inventory, storage cost optimization, query patterns, and cross-account log aggregation.
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 working with Planetscale — planetScale branch management, deploy requests, schema analysis, query insights, and database health.
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。
No thanks “Sebastian is an incredible educator and always has invaluable insights--do keep up with his work!
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 features guided by data insights, A/B testing, and continuous measurement using specialized agents for analysis, implementation, and experimentation.
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。
Search and analyze Reddit discussions for market research, product feedback, and community insights using Xpoz. Use when asked to "search Reddit", "what does Reddit think about X", "Reddit feedback on X", "subreddit analysis", or "Reddit market 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。
Patterns for scaling read-heavy Convex apps to millions of users. Use when optimizing bandwidth, reducing query costs, fixing slow queries, creating digest tables, replacing reactive subscriptions with one-shot fetches, adding compound indexes, debouncing writes, rate-controlling backfills, or running npx convex insights. Trigger when users mention "scale", "bandwidth", "performance", "optimize", "slow queries", "expensive queries", "digest table", "denormalize", or "thundering herd" in the context of Convex.
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。
Audits Convex performance for reads, subscriptions, write contention, and function limits. Use for slow features, insights findings, OCC conflicts, or read amplification.
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。
Productivity analyst that maps your workflow, scores tasks, and builds a prioritized automation plan. Use when: (1) "audit my workflow", "what should I automate?", "productivity review", (2) Starting a new project and need to identify high-leverage tasks, (3) Feeling overwhelmed and need to prioritize, (4) After /compounder surfaces new friction or patterns. Reads compounder insights when available. Outputs to system/audit-report.md.
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。
Weekly review partner that compounds productivity gains over time. Use when: (1) "weekly review", "what did I accomplish this week?", "compound my gains", (2) End of work week to review progress, (3) "what patterns are emerging?", (4) "update the system map", (5) Feeling stuck and need to identify friction. Reads all system/ files to synthesize progress. Outputs to system/compounder/week-{date}.md. Feeds insights back to /audit.
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。
Weekly review partner that compounds productivity gains over time. Tracks velocity, logs friction, sets next-week targets, recognizes patterns across weeks, and feeds insights back to the audit for the next loop. Use when you want a weekly review, need to identify friction, want to see patterns, or want to update your system map. Part of the architect-system loop. Outputs to system/compounder/week-{date}.md.
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。
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations.
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。
Azure Monitor OpenTelemetry Exporter for Python. Use for low-level OpenTelemetry export to Application 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。
Azure Monitor OpenTelemetry Distro for Python. Use for one-line Application Insights setup with auto-instrumentation.
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。
Azure Monitor OpenTelemetry Exporter for Java. Export OpenTelemetry traces, metrics, and logs to Azure Monitor/Application 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。
Implementing AWS CloudTrail log analysis for security monitoring, threat Tespit, and forensic investigation using Athena, CloudWatch Logs Insights, and SIEM integration to identify unauthorized access, privilege escalation, and suspicious API activity.
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。
Implementing AWS Security Hub to aggregate security Bul:ings across AWS accounts, enable compliance standards like CIS AWS Foundations and PCI DSS, configure automated remediation with EventBridge and Lambda, and create custom security insights for organizational risk management.
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。
Tabular and numerical data analysis with descriptive statistics and insights. Use when the user provides data, tables, CSVs, or numbers and wants analysis.
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。
Legal-firm radar App-in-Skill (Busabase-backed) dashboard for anonymized casebase analytics, practice-area mix, case-quality indicators, lawyer capability profiles, brand proof points, and approval-gated management reports. Use when the user invokes $kelly-legal-firm-radar, mentions 律师画像, 律所经营分析, 业务布局分析, 案件质量评估, 专业人才梯队, 律师全息品牌, casebase analytics, law-firm management dashboard, or wants a Busabase-backed desk where partners review agent-prepared management insights before export.
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 CGM blood glucose data from Nightscout. Use this skill when asked about current glucose levels, blood sugar trends, A1C estimates, time-in-range statistics, glucose variability, or diabetes management 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。
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable 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。