400 件 ・ 関連度順
概要と使いどころ
Test automate API endpoint testing including request generation, validation, and comprehensive test coverage for REST and GraphQL APIs. Use when testing API contracts, validating OpenAPI specifications, or ensuring endpoint reliability. Trigger with phrases like "test the API", "generate API tests", or "validate API contracts".
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 and gate an AssemblyAI integration across contracts, security, reliability, cost, observability, retention, and rollback. Use when preparing a launch or material change. Trigger with "AssemblyAI production checklist" or "go live".
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。
Design account-aware Alchemy throttling, bounded retries, and admission control from observed throughput rather than stale plan constants. Use when preventing or handling rate limits. Trigger with "Alchemy rate limit", "Alchemy throughput", or "fix Alchemy 429s".
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。
Deploy an Alchemy-backed service through environment-scoped credentials, chain assertions, canaries, and rollback gates. Use when promoting an integration to hosted environments. Trigger with "deploy Alchemy integration", "Alchemy production deploy", or "promote an Alchemy 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。
Monitor and optimize Algolia request pressure using observed responses and bounded client behavior. Use when requests return 429, queues grow, or search and indexing compete for capacity. Trigger with "Algolia rate limit", "Algolia 429", or "throttle indexing".
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。
Classify Alchemy authentication, JSON-RPC, Data API, throughput, and partial-response failures before applying bounded recovery. Use when an Alchemy integration fails or degrades. Trigger with "Alchemy error", "Alchemy 429", or "debug an Alchemy request".
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 and control capacity, queueing, and backpressure for a tenant-specific Abridge integration without inventing public limits or headers. Use when handling concurrency or throttling requirements. Trigger with "plan Abridge capacity".
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。
Implement a narrow customer-owned adapter around an approved Abridge tenant interface without claiming a public SDK. Use when coding against vendor-issued integration specifications. Trigger with "build the Abridge adapter".
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。
Issue an evidence-backed production decision across Adobe auth, entitlements, API versions, data custody, async reliability, spend, observability, and rollback. Use before launch or a material integration change. Use when the task requires adobe production readiness decision. Trigger with "Adobe production checklist", "approve Adobe launch", or "Adobe go-live review".
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。
Keeps production assets available — ranking equipment by consequence of failure, setting preventive and predictive intervals, sizing spares, and moving a plant off reactive maintenance. Use this to build or fix a maintenance program, decide what to put on a PM schedule, diagnose repeat failures on one asset, justify spares inventory, or work out why a plant that maintains everything still has unplanned downtime.
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。
Manages the flow of goods and inputs — sourcing, inventory, lead times, fulfillment, and supply risk. Use this to reduce stockouts or excess inventory, plan for a supplier failure, decide reorder points and safety stock, improve fulfillment reliability, or assess concentration risk in a supply base.
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。
Builds and operates data pipelines — ingestion, transformation, orchestration, quality testing, and reliability of data delivery. Use this to design or debug a pipeline, decide batch versus streaming, add data quality checks, handle late or duplicate data, or work out why a dashboard's numbers changed without anyone changing the dashboard.
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。
Define and implement Service Level Indicators (SLIs) and Service Level Objectives (SLOs) with error budgets and alerting. Use when establishing reliability targets, implementing SRE practices, or measuring service 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。
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production. Use when optimizing prompts, improving LLM outputs, or designing production prompt 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。
Build production-ready monitoring, logging, and tracing systems. Implements comprehensive observability strategies, SLI/SLO management, and incident response workflows. Use PROACTIVELY for monitoring infrastructure, performance optimization, or production reliability.
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 Haskell engineer specializing in advanced type systems, pure functional design, and high-reliability software. Use PROACTIVELY for type-level programming, concurrency, and architecture guidance.
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 SRE incident responder specializing in rapid problem resolution, modern observability, and comprehensive incident management. Masters incident command, blameless post-mortems, error budget management, and system reliability patterns. Handles critical outages, communication strategies, and continuous improvement. Use IMMEDIATELY for production incidents or SRE practices.
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 error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
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 DevOps troubleshooter specializing in rapid incident response, advanced debugging, and modern observability. Masters log analysis, distributed tracing, Kubernetes debugging, performance optimization, and root cause analysis. Handles production outages, system reliability, and preventive monitoring. Use PROACTIVELY for debugging, incident response, or system troubleshooting.
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。
You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.
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 multi-agent systems with coordinated profiling, workload distribution, and cost-aware orchestration. Use when improving agent performance, throughput, or reliability.
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。
Elite code review expert specializing in modern AI-powered code analysis, security vulnerabilities, performance optimization, and production reliability. Masters static analysis tools, security scanning, and configuration review with 2024/2025 best practices. Use PROACTIVELY for code quality assurance.
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。
Scan a contract you're about to sign in plain language — surface the clauses that could bite you, what they mean, and what to question or renegotiate. Use when asked to check this contract before I sign, what am I agreeing to, are there red flags in this agreement, or explain this contract's risky bits. Produces a plain-English flag list of the risky/unusual clauses (auto-renewal, lock-in, liability, IP, termination, fees), what each means for you, questions to ask, and suggested changes — flagging when it's important enough for a lawyer. Not legal advice.
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。
Cut through the model soup to buy the right appliance — the features that actually matter for you, the ones that are marketing, and when to buy. Use when asked which [fridge/washer/dishwasher] should I buy, help me choose an appliance, what features do I need, or is this appliance worth it. Produces a needs-based feature shortlist (must-have vs nice-to-have vs marketing fluff), fit and capacity checks, reliability and running-cost considerations, warranty/extended-warranty guidance, and timing tips — flagging to verify current models, prices, and specs before buying.
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。