Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved
Skills(SKILL.md)は、AIエージェント(Claude Code、Cursor、Codexなど)に特定の能力を追加するための設定ファイルです。
詳しく見る →Use when starting any work session - establishes autonomous operation mode, overriding token limits and time pressure to work until goal is achieved
Execute a single phase from roadmap to working code autonomously
Autonomous UI inspection using a dual channel: (1) visual screenshots via Playwright MCP tools, (2) numeric layout metrics via Puppeteer scripts. Includes server --check standardization so agents can start/stop reliably.
Configure autoscaling for Kubernetes, VMs, and serverless workloads based on metrics, schedules, and custom indicators.
Automatic exploratory data analysis and visualization with a single line of code - generates comprehensive charts, detects patterns, and exports to HTML/notebooks
Skill for adding Stripe checkout and payment flows using Autumn.
Skill for adding feature gating and usage tracking using Autumn.
Skill for integrating Autumn - the billing and entitlements layer over Stripe.
Skill for setting up Autumn billing integration and creating customers.
Avalonia UI development - XAML, MVVM, styling, and patterns
Programmatically apply UGC (User-Generated Content) to characters including clothing, accessories, and avatar customization. Use when dressing NPCs, building avatar editors, or creating character customization systems.
Use when building Avo admin interfaces. Creates resources, actions, filters, and dashboards following Avo conventions. Fetches latest docs dynamically.
Avoid angle-bracket type assertions (<Type>) and use 'as Type' syntax instead
Teaches when and how to use unknown instead of any type in TypeScript. Use when working with TypeScript code that has any types, needs type safety, handling external data, or when designing APIs. Critical for preventing type safety violations.
Provides comprehensive guidance for Avue framework including CRUD operations, form components, and data management. Use when the user asks about Avue, needs to build admin interfaces, implement CRUD operations, or work with Avue components.
Expert guidance for creating GitHub Copilot customizations including custom agents, prompts, instructions, and collections. Based on the awesome-copilot community toolkit with 200+ agents, 180+ prompts, and 150+ instructions. Use when customizing GitHub Copilot, creating specialized AI agents, writing coding standards, or building developer productivity tools.
Expert AWS Cloud Advisor for architecture design, security review, and implementation guidance. Leverages AWS MCP tools for accurate, documentation-backed answers. Use when user asks about AWS architecture, security, service selection, migrations, troubleshooting, or learning AWS. Triggers on AWS, Lambda, S3, EC2, ECS, EKS, DynamoDB, RDS, CloudFormation, CDK, Terraform, Serverless, SAM, IAM, VPC, API Gateway, or any AWS service.
AWS Bedrock AgentCore comprehensive expert for deploying and managing all AgentCore services. Use when working with Gateway, Runtime, Memory, Identity, or any AgentCore component. Covers MCP target deployment, credential management, schema optimization, runtime configuration, memory management, and identity services.
Build AI applications on AWS using Bedrock, SageMaker, and AI/ML services with best practices for enterprise deployment
Comprehensive AWS cloud services skill covering S3, Lambda, DynamoDB, EC2, RDS, IAM, CloudFormation, and enterprise cloud architecture patterns with AWS SDK
Provides comprehensive AWS (Amazon Web Services) guidance including EC2, S3, RDS, Lambda, ECS/EKS, CloudFormation, API Gateway, CloudFront, cloud migration from on-premise/GCP/Azure, security configuration (IAM, KMS, Security Hub), cost optimization (Savings Plans, Reserved Instances), and multi-region deployment. Produces infrastructure as code (Terraform/CloudFormation/CDK), deployment scripts, security configurations, and architecture designs. Use when deploying to AWS, designing AWS infrastructure, migrating to AWS, configuring EC2 instances, setting up S3 buckets, managing RDS databases, deploying containers on ECS/EKS, building serverless applications, or when users mention AWS, Amazon Cloud, EC2, S3, Lambda, EKS, CloudFormation, CDK, or AWS services.
AWS CloudFormation patterns for ECS clusters, services, and task definitions. Use when creating ECS infrastructure with CloudFormation, configuring container definitions, scaling policies, service discovery, load balancing integration, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and blue/green deployments with CodeDeploy.
AWS CloudFormation patterns for Amazon ElastiCache. Use when creating ElastiCache clusters (Redis, Memcached), replication groups, parameter groups, subnet groups, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references for distributed caching infrastructure.
AWS CloudFormation patterns for IAM users, roles, policies, and managed policies. Use when creating IAM resources with CloudFormation, implementing least privilege access, configuring cross-account access, setting up identity centers, managing permissions boundaries, and organizing template structure with Parameters, Outputs, Mappings, Conditions for secure infrastructure deployments.
AWS CloudFormation patterns for Lambda functions, layers, event sources, and integrations. Use when creating Lambda functions with CloudFormation, configuring API Gateway, Step Functions, EventBridge, SQS, SNS triggers, and implementing template structure with Parameters, Outputs, Mappings, Conditions, cross-stack references, and best practices for cold start optimization.
AWS CloudFormation patterns for infrastructure security, secrets management, encryption, and secure data handling. Use when creating secure CloudFormation templates with AWS Secrets Manager, KMS encryption, secure parameters, IAM policies, VPC security groups, TLS/SSL certificates, and encrypted traffic configurations. Covers template structure, parameter best practices, cross-stack references, and defense-in-depth strategies.
AWS CloudFormation patterns for VPC infrastructure. Use when creating VPCs, Subnets, Route Tables, NAT Gateways, Internet Gateways, and implementing template structure with Parameters, Outputs, Mappings, Conditions, and cross-stack references.
Infrastructure as Code with CloudFormation templates and stacks
Distribute content globally using CloudFront with caching, security headers, WAF integration, and origin configuration. Use for low-latency content delivery.
AWS cost optimization - EC2 Reserved Instances, Savings Plans, Spot, Lambda optimization, Cost Explorer, Trusted Advisor.
Optimize AWS costs through resource rightsizing and savings strategies
Deploys AWS infrastructure with research-first approach. Uses AWS MCP tools for documentation, regional availability, and resource management. ALWAYS searches AWS documentation before writing code, explains services and abbreviations, considers alternatives, maintains organized aws/ folder, and CRITICALLY offers to destroy resources after testing. Use PROACTIVELY for any AWS deployment, Terraform, ECS, Fargate, Lambda, S3, RDS, or cloud infrastructure tasks. MUST BE USED for prototype/learning projects to avoid unexpected costs. (project)
Generate architecture diagrams from `aws_infrastructure.json` using the Python `diagrams` library.
Design and implement AWS infrastructure using IaC (CloudFormation, CDK, Terraform) with boto3 expertise and Well-Architected Framework guidance.
AWS infrastructure as code with Terraform and CDK, including VPC design, EKS cluster setup, S3 bucket configuration, RDS databases, DynamoDB tables, Lambda functions, API Gateway, CloudWatch monitoring, IAM policies, security groups, cost optimization, multi-account strategies, CI/CD with CodePipeline, infrastructure testing, disaster recovery, compliance automation, and cloud-native best practices for production workloads.
Build optimized serverless functions with Lambda
Build serverless applications with AWS Lambda and TypeScript. Covers handler patterns, API Gateway integration, DynamoDB operations, SQS/S3/DynamoDB Streams event sources, SAM templates, and CDK infrastructure. Use for serverless APIs, event-driven architectures, and AWS backend development.
AWS cloud architecture patterns and best practices. Use when designing, deploying, or reviewing AWS infrastructure including EC2, ECS, EKS, Lambda, RDS, S3, IAM, and VPC.
Debug AWS resource issues, check Lambda logs, and monitor deployed services. Use when investigating production issues, checking CloudWatch logs, or debugging deployment failures.
AWS infrastructure patterns and best practices for Terraform. Provides VPC, IAM, S3, and security group scaffolds. Use when developing AWS infrastructure.
Amazon Bedrock patterns using AWS SDK for Java 2.x. Use when working with foundation models (listing, invoking), text generation, image generation, embeddings, streaming responses, or integrating generative AI with Spring Boot applications.
Generate Python code to call undocumented AWS APIs using SigV4 authentication from cURL requests captured in browser dev tools. This skill should be used when users need to create Python functions that call AWS internal or undocumented APIs with proper AWS Signature Version 4 authentication.
Authenticate to AWS using Single Sign-On (SSO). Use when AWS CLI operations require SSO authentication or when SSO session has expired.
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Deep integration with axe-core for automated accessibility testing. Execute accessibility scans, interpret WCAG violations, generate compliance reports, and integrate with Playwright/Cypress for comprehensive a11y testing.
Use when fixing VoiceOver issues, Dynamic Type violations, color contrast failures, touch target problems, keyboard navigation gaps, or Reduce Motion support - comprehensive accessibility diagnostics with WCAG compliance, Accessibility Inspector workflows, and App Store Review preparation for iOS/macOS
Use when integrating App Intents for Siri, Apple Intelligence, Shortcuts, Spotlight, or system experiences - covers AppIntent, AppEntity, parameter handling, entity queries, background execution, authentication, and debugging common integration issues for iOS 16+
Use when implementing App Shortcuts for instant Siri/Spotlight availability, configuring AppShortcutsProvider, adding suggested phrases, or debugging shortcuts not appearing - covers complete App Shortcuts API for iOS 16+
Reference for App Store Connect crash analysis, TestFlight feedback, metrics dashboards, and data export workflows
Use when needing synchronous actor access in tests, legacy delegate callbacks, or performance-critical code. Covers MainActor.assumeIsolated, @preconcurrency protocol conformances, crash behavior, Task vs assumeIsolated.