1,637 件 ・ 関連度順
概要と使いどころ
System architecture design and review. Use when designing architecture, evaluating microservices vs monolith, writing ADRs, choosing a database, planning for scalability, reviewing system design, or generating architecture diagrams.
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。
Backend development with Node.js/Express/Fastify and PostgreSQL. Use when designing REST or GraphQL APIs, optimizing database queries, implementing authentication, building microservices, handling migrations, or reviewing backend 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。
Chaos engineering: hypothesis-driven fault injection to surface weakness before users do. Use when designing a chaos experiment, planning a gameday, choosing what to inject, computing blast radius, or building a chaos maturity model.
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 REST API designs for quality, consistency, and breaking changes. Lints OpenAPI specs, generates scorecards, and detects breaking changes between versions. Use when designing APIs, reviewing contracts, or managing API 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。
Design AWS serverless architectures for startups with IaC. Use when designing serverless architecture, writing CloudFormation, optimizing AWS costs, setting up CI/CD, or migrating to AWS across Lambda, API Gateway, and DynamoDB.
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。
Business intelligence across dashboard design, visualization, and reporting automation. Use when designing dashboards, building KPI frameworks, automating reports, creating data stories, or optimizing BI tool 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。
Analytics engineering across data modeling, dbt, transformation, and semantic layers. Use when building dbt models, designing star schemas, writing staging or mart SQL, configuring data tests, or optimizing warehouse queries.
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。
Generate and optimize GitHub Actions CI/CD workflows. Use when designing workflows, planning multi-environment deployments, optimizing pipeline cost and runtime, or implementing blue- green, canary, or rolling deployment 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。
Design relational schemas from requirements with normalization, migrations, ERDs, RLS policies, and indexes for PostgreSQL, MySQL, and SQLite. Use when designing new features, reviewing schemas, or adding multi-tenancy.
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。
Context management engine for AI coding agents. Use when building agent memory systems, optimizing context windows, allocating token budgets, designing RAG pipelines for code, or managing persistent multi-session agent state.
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。
Database design with schema analysis, index optimization, and migration generation for PostgreSQL, MySQL, MongoDB, and DynamoDB. Use when designing schemas, optimizing queries, planning migrations, or analyzing database 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。
Designs multi-agent system architectures with orchestration patterns, tool schemas, and performance evaluation. Use when building AI agent systems, designing agent workflows, creating tool schemas, or evaluating agent 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。
Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management. Use when building pipelines of specialized agents, designing fan-out/fan-in patterns, or implementing fault-tolerant 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。
Audit data quality across pipelines, warehouses, and stores. Use when designing a DQ program, defining DQ dimensions, building rule-based checks, detecting schema drift, monitoring freshness SLAs, or responding to a DQ incident.
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。
VP of Engineering advisor on org design, productivity, quality, delivery, and capacity planning. Use when scoring engineering org health, designing the eng org, planning capacity, or building the productivity 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。
Data science across machine learning, statistical modeling, and experimentation. Use when selecting ML algorithms, engineering features, designing A/B tests, evaluating model performance, or building predictive pipelines.
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。
Operations leadership advisor on business operations, process optimization, and scaling infrastructure. Use when designing operational processes, planning headcount capacity, optimizing vendors, or scaling 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。
Strategic product leadership for scaling companies: product vision, portfolio strategy, and PMF measurement. Use when setting product vision, managing a product portfolio, measuring PMF, or designing product teams.
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。
Revenue leadership for B2B SaaS: forecasting, sales model design, pricing, and net revenue retention. Use when designing the revenue engine, setting quotas, modeling NRR, evaluating pricing, or scaling sales teams.
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, measure, and evolve company culture as operational behavior, not wall posters. Use when building company values, assessing culture health, designing rituals, creating culture codes, or handling culture clashes.
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。
Channel economics: design and analyze the financial structure of go-to-market channels. Use when picking a channel mix, modeling partner margin or TCO, designing partner tiers and rebates, or analyzing channel conflict.
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 leadership for scaling companies: hiring, compensation, org structure, performance, and retention. Use when building hiring plans, designing comp frameworks, restructuring teams, or managing 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。
Data leadership advisor on data strategy, governance, quality, and platform decisions. Use when defining a data strategy, scoring data maturity, auditing data governance, evaluating a data platform, or designing the data org.
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。
Marketing leadership advisor on brand strategy, demand generation, and marketing operations. Use when building a marketing strategy, planning demand-gen campaigns, designing lead scoring models, or aligning marketing with revenue.
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。