Design and build a high-converting questionnaire-style onboarding flow for your app, modelled on proven conversion patterns from top subscription apps.
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
Design and build a high-converting questionnaire-style onboarding flow for your app, modelled on proven conversion patterns from top subscription apps.
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。
MongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".
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。
Guides the 7-step MATLAB memory optimization workflow: baseline, profile, identify, optimize, measure, verify, report. Use when asked to reduce MATLAB memory usage, find memory bottlenecks, fix out-of-memory errors, or optimize memory-intensive code.
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 Linux system performance. Configure kernel parameters, analyze bottlenecks, and tune resources. Use when improving system 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。
Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product lifecycle management. No API key required for basic 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。
Supply Chain Optimization (Lite) - Diagnose bottlenecks and provide cost reduction strategies through conversation
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。
Supply Chain Bottleneck Analyzer for Shopify/DTC stores. Diagnose cash flow, inventory, shipping costs, and customer acquisition efficiency. Includes CAC/LTV analysis, 3PL cost optimization, and ad spend benchmarks. No API key required for basic 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。
Supply Chain Bottleneck Analyzer for Walmart Marketplace sellers. Diagnose cash flow, inventory, WFS costs, and referral fees. Includes comparison with Amazon FBA, lower storage fee optimization, and Walmart Connect ad spend analysis. No API key required for basic 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。
Report concurrency and parallelism for a session — how many agents ran in parallel, concurrency-lane utilization, peak parallel width, and serialization bottlenecks (sequential chains that could have run as parallel lanes) — using the Agent Monitor workflow intelligence API. Use when checking whether a multi-agent session used parallelism efficiently.
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。
当用户操作 Redis 相关代码(go-redis、Jedis、redis-py、ioredis)时触发。涵盖禁止 KEYS 命令、SCAN 替代、大 key 控制、Pipeline 批量、TTL 规范等安全与性能要点。
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。
当用户操作 Redis 相关代码(go-redis、Jedis、redis-py、ioredis)时触发。涵盖禁止 KEYS 命令、SCAN 替代、大 key 控制、Pipeline 批量、TTL 规范等安全与性能要点。
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 LuisaCompute DSL kernels using warp/wave primitives, shared-memory aggregation, and block-level collectives. Use when kernels bottleneck on atomics, reductions, or inter-thread communication.
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。
Automatically invoke this skill whenever the user asks why a Fabric capacity is busy, throttled, at 90 or 100 percent, or what is consuming CUs; asks for current capacity utilization, carry forward or per-item CU usage; wants to query or repair the Microsoft Fabric Capacity Metrics app or its semantic model; or wants to start, pause or monitor a capacity from a script or status bar.
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。
When the user wants to plan growth using the AARRR framework, diagnose growth bottlenecks, or map actions across the customer lifecycle. Also use when the user mentions "growth funnel," "AARRR," "pirate metrics," "acquisition activation retention," "customer lifecycle metrics," or "growth framework." For retention tactics, use retention-strategy.
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 investigating slow activities, waiting, handoff duration, bottlenecks or cumulative activity workload.
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。
Debug and optimize Android/Gradle build performance. Use when builds are slow, investigating CI/CD performance, analyzing build scans, or identifying compilation bottlenecks.
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, manage, and operate APIs with Amazon API Gateway (REST, HTTP, and WebSocket). Triggers on phrases like: API Gateway, REST API, HTTP API, WebSocket API, custom domain, Lambda authorizer, usage plan, throttling, CORS, VPC link, private API. Also covers troubleshooting API Gateway errors (4xx, 5xx, timeout, CORS failures) and IaC templates containing API Gateway resources. For general REST API design unrelated to AWS, do not trigger.
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。
Diagnose performance issues on Amazon SageMaker HyperPod clusters — uneven NCCL bandwidth across nodes and poor filesystem throughput. Read-only. Surfaces host-side signals (Xid, ECC, NVLink, EFA reachability, FSx saturation) and routes to the appropriate sibling skill (hyperpod-node-debugger, hyperpod-nccl, hyperpod-version-checker, hyperpod-issue-report) for any remediation. Triggers on uneven NCCL across nodes, straggler node, FSx slow, checkpoint slow, dataloader slow, filesystem bottleneck, FSx throughput, cross-AZ latency, topology mismatch.
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。
Product marketing skill for positioning, GTM strategy, competitive intelligence, and product launches. Covers April Dunford positioning, ICP definition, competitive battlecards, launch playbooks, and international market entry.
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。
Personal leadership development for founders and first-time CEOs. Use when a founder feels like the bottleneck, struggles to delegate, is burning out, or transitioning from IC to executive.
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。
Systematic competitor analysis covering product teardowns, 12-dimension scoring rubric, feature comparison matrices, SWOT analysis, pricing model deconstruction, UX audits, and strategic action plans with stakeholder presentation templates.
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。
When the user wants to research, profile, or analyze competitors from their URLs. Also use when the user mentions 'competitor profile,' 'competitor research,' 'competitor analysis,' 'profile this competitor,' 'analyze competitor,' 'competitive intelligence,' 'competitor deep dive,' 'who are my competitors,' 'competitor landscape,' 'competitor dossier,' 'competitive audit,' or 'research these competitors.' Input is a list of competitor URLs. Output is structured competitor profile markdown files. For creating comparison/alternative pages from profiles, see competitors. For sales-specific battle cards, see sales-enablement.
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。
When the user wants to create competitor comparison or alternative pages for SEO and sales enablement. Also use when the user mentions 'alternative page,' 'vs page,' 'competitor comparison,' 'comparison page,' '[Product] vs [Product],' '[Product] alternative,' 'competitive landing pages,' 'how do we compare to X,' 'battle card,' or 'competitor teardown.' Use this for any content that positions your product against competitors. Covers four formats: singular alternative, plural alternatives, you vs competitor, and competitor vs competitor. For sales-specific competitor docs, see sales-enablement.
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 original, competition-ready commercial mediation problems and confidential packets with iterative validation. Use when a user provides a topic, industry, dispute sketch, or existing general-information packet and wants a public packet plus confidential packets for both sides—or one named side. Build a narrow but workable settlement corridor; verify factual and numerical consistency, information asymmetry, balance, originality, and commercial feasibility; and revise until deterministic and semantic exit criteria pass. Do not use merely to summarize an existing packet or to advise parties in a real dispute. Requires local file access; Python 3 is recommended for bundled deterministic checks, with disclosed manual fallbacks when unavailable.
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。