281 件 ・ 関連度順
概要と使いどころ
Audit Dockerfiles and Compose files against the 10 common Docker mistakes — image security, build efficiency, runtime safety. Use when reviewing or hardening Docker configs. Trigger on "audit my Dockerfile", "check this Compose file", "Docker best practices", "is my container secure".
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。
Optimize cloud and AI costs for modern SaaS stacks (Vercel, Supabase, Neon, Stripe, and AI APIs). Covers token efficiency, serverless database scaling, edge function optimization, and burn rate monitoring. Use when planning infrastructure, investigating high bills, or auditing API usage.
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 Kanban flow metrics to identify bottlenecks and improve team throughput. Covers Cycle Time, Throughput, WIP, and Flow Efficiency using Little's Law and Theory of Constraints. Use when a team wants to optimize delivery flow or improve predictability. Do not use for sprint-based Scrum planning — use sprint-planning-assistant instead.
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 task needs the judgment of an Energy Engineer working on building and industrial energy efficiency — running an ASHRAE Level 1/2/3 energy audit, calculating envelope heat loss/gain with the degree-day method, comparing HVAC equipment on SEER/EER/IEER/COP rather than nameplate alone, designing an IPMVP measurement and verification (M&V) plan, or ranking energy conservation measures (ECMs) by savings-to-investment ratio for a capital plan. Distinct from a wind-energy-engineer or solar/PV engineer (own generation-asset design and yield) and from an electrical-engineer (owns utility-scale power delivery and protection) — this role owns the demand side: how much energy a building or process actually needs, and which retrofit reduces that number with numbers that hold up after the fact.
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 task needs the judgment of a Biomass Power Plant Manager — running a biomass-fired power generation facility, managing fuel supply logistics and quality variability, evaluating combustion/efficiency problems, or balancing generation output against fuel cost and emissions constraints.
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 task needs the judgment of a Biofuels Production Manager — running a biofuel production facility (ethanol, biodiesel, renewable diesel), managing feedstock supply and quality variability, evaluating a yield or efficiency problem, or balancing production economics against commodity price swings.
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。
Ultra-compressed communication mode. Cuts output tokens 65% (measured) by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
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 batch cooking, meal planning, food storage, and efficient kitchen workflows
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 airline, airport, cruise, and tour operator systems for ground handling efficiency, aircraft turnaround optimization, disruption management, and GDS integration. Covers IATA/ICAO compliance, IROPS recovery, on-time performance tracking, embarkation logistics, transfer coordination, and NDC implementation for travel technology platforms.
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。
Comprehensive K-12 or higher-ed system analysis: predict student dropout risk with early warning indicators, optimize curriculum alignment and pacing, personalize learning paths for at-risk and diverse populations, and audit school operations for resource efficiency..
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 field service technician productivity and workforce efficiency.
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。
Audit e-commerce and retail product return systems for return rate reduction strategies, reverse logistics efficiency, refurbishment routing, fraud detection in returns, and return reason analytics. Use when reviewing order management systems, RMA workflows, warehouse return processing, disposition engines, or retail loss prevention tools.
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 material forecasting and requirements planning systems including MRP/MRP II logic evaluation, BOM explosion accuracy, supplier lead time variability tracking, seasonal demand pattern detection, fabric yield and marker efficiency optimization, MOQ aggregation strategies.
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。
Profile and audit mobile app performance -- cold/warm/hot startup time, memory leaks, battery drain, network efficiency, frame rate jank, and binary size. Triggers: diagnosing slow launches, investigating ANRs, reducing app size, or benchmarking rendering performance.
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。
Audit a grant management system for proposal workflow efficiency, deadline tracking, budget-narrative alignment, outcome reporting, compliance readiness, and win rate optimization. Use when reviewing nonprofit grant software, building a grants CRM, analyzing proposal pipelines, or evaluating funder reporting tools.
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。
Audit a drug discovery pipeline for operational efficiency and scientific rigor. Triggers: building or reviewing pharma R&D platforms, cheminformatics pipelines, or screening data management systems.
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。
Audit a manufacturing energy management system for monitoring quality, cost optimization, and compliance. Triggers: building or reviewing industrial energy platforms, building management systems, or sustainability reporting tools.
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 bookkeeping automation systems for transaction categorization, bank reconciliation, AP/AR efficiency, chart of accounts optimization, and month-end close using GAAP and double-entry accounting patterns..
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。
Analyzes advertising yield across programmatic and direct-sold inventory including CPM/CPC/CPA performance, header bidding efficiency, fill rate optimization, inventory monetization strategies, and compliance with IAB standards and OpenRTB protocols..
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 packaging configurations for carton size selection, void fill minimization, palletization efficiency, sustainable materials, and total packaging cost reduction aligned with ISTA and ASTM D4169 standards..
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 government benefits processing software for eligibility determination, application workflow efficiency, document verification, error rates, appeal tracking, multi-program coordination, and ADA/Section 508 compliance..
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。
Review changed code for reuse, quality, and efficiency, then fix any issues found. Sizes review effort to the diff — trivial edits get a self-review, substantial edits get parallel agents. Renamed from /simplify to avoid collision with Claude Code's built-in simplify 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。
The user's synced Google Health Connect data from their Android device: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
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。
The user's synced Apple Health (HealthKit) data: daily metrics (steps, distance, calories, heart rate, HRV, VO2max), sleep sessions (stages, quality, efficiency), and workouts.
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。