Direct Figma API interactions for design asset management. Fetch files and components, extract design tokens, export images, manage comments, and access version history.
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 →Direct Figma API interactions for design asset management. Fetch files and components, extract design tokens, export images, manage comments, and access version history.
Performance and accessibility auditing using Google Lighthouse. Measure Core Web Vitals, accessibility scores, SEO, and best practices. Generate reports and track performance budgets.
Generate user persona documents and empathy maps from templates
Define and document prototype interactions, transitions, and hotspots
Visual regression testing through screenshot capture and comparison. Pixel-diff analysis, responsive screenshot capture across viewports, and visual change reporting with highlighted differences.
Optimize SVG assets, generate sprites, and convert to React components
Docker containerization for web apps, multi-stage builds, and optimization.
Express.js middleware patterns, routing, error handling, security, and production best practices.
Fastify plugins, hooks, validation, serialization, and performance optimization patterns.
GraphQL schema design, resolvers, directives, subscriptions, and best practices for API development.
JSON Schema validation and API contract design.
Web Components development with Lit including custom elements, reactive properties, shadow DOM, and interoperability.
Markdown documentation, MDX, and content formatting.
MongoDB schema design, aggregation pipelines, indexing strategies, and performance.
NestJS architecture including modules, dependency injection, guards, interceptors, and microservices patterns.
Next.js specific patterns including App Router, React Server Components, Server Actions, streaming, caching, and Vercel deployment.
OpenAPI/Swagger specification, code generation, documentation, and validation.
Playwright E2E testing, page objects, fixtures, visual regression, accessibility testing, and CI integration patterns.
Prisma ORM schema design, migrations, relations, query optimization, and database integration patterns.
Specialized skill for React component development, hooks patterns, state management, context API, performance optimization, and modern React best practices.
RESTful API design principles, versioning, pagination, HATEOAS, and documentation.
Storybook configuration, stories, addons, interaction testing, and documentation.
Tailwind CSS configuration, custom plugins, design systems, theming, and component patterns for modern web applications.
WCAG 2.1/2.2 compliance, auditing, and remediation.
YAML configuration for CI/CD, Docker Compose, and Kubernetes.
Diagnose babysitter run health - journal integrity, state cache, effects, locks, sessions, logs, and disk usage
help and documentation for babysitter command usage, processes, skills, agents, and methodologies. use this command to understand how to use babysitter effectively.
Analysis for a run and its results, process, suggestions for process improvements, process optimizations, fixes, etc. for the next runs.
Clean up .a5c/runs and .a5c/processes directories. Aggregates insights from completed/failed runs into docs/run-history-insights.md, then removes old run data and orphaned process files.
Submit feedback or contribute to babysitter project
manage babysitter plugins. use this command to see the list of installed babysitter plugins, their status, and manage them (install, update, uninstall, list from marketplace, add marketplace, configure plugin, create new plugin, etc).
Integrates Amazon Location Service APIs for AWS applications. Use this skill when users want to add maps (interactive MapLibre or static images); geocode addresses to coordinates or reverse geocode coordinates to addresses; calculate routes, travel times, or service areas; find places and businesses through text search, nearby search, or autocomplete suggestions; retrieve detailed place information including hours, contacts, and addresses; monitor geographical boundaries with geofences; or track device locations. Covers authentication, SDK integration, and all Amazon Location Service capabilities.
Orchestrates AWS Amplify Gen 2 workflows for building full-stack apps with React, Next.js, Vue, Angular, React Native, Flutter, Swift, or Android. Use when user wants to BUILD, CREATE, or DEPLOY Amplify projects, add authentication, data models, storage, GraphQL APIs, Lambda functions, or deploy to sandbox/production. Do NOT invoke for conceptual questions, comparisons, or troubleshooting unrelated to active development.
>
>
Design, build, deploy, test, and debug serverless applications with AWS Lambda. Triggers on phrases like: Lambda function, event source, serverless application, API Gateway, EventBridge, Step Functions, serverless API, event-driven architecture, Lambda trigger. For deploying non-serverless apps to AWS, use deploy-on-aws plugin instead.
AWS SAM and AWS CDK deployment for serverless applications. Triggers on phrases like: use SAM, SAM template, SAM init, SAM deploy, CDK serverless, CDK Lambda construct, NodejsFunction, PythonFunction, SAM and CDK together, serverless CI/CD pipeline. For general app deployment with service selection, use deploy-on-aws plugin instead.
Build with Aurora DSQL — manage schemas, execute queries, handle migrations, diagnose query plans, and develop applications with a serverless, distributed SQL database. Covers IAM auth, multi-tenant patterns, MySQL-to-DSQL migration, DDL operations, and query plan explainability. Triggers on phrases like: DSQL, Aurora DSQL, create DSQL table, DSQL schema, migrate to DSQL, distributed SQL database, serverless PostgreSQL-compatible database, DSQL query plan, DSQL EXPLAIN ANALYZE, why is my DSQL query slow.
Generate validated AWS architecture diagrams as draw.io XML using official AWS4 icon libraries. Use this skill whenever the user wants to create, generate, or design AWS architecture diagrams, cloud infrastructure diagrams, or system design visuals. Also triggers for requests to visualize existing infrastructure from CloudFormation, CDK, or Terraform code. Supports two modes: analyze an existing codebase to auto-generate diagrams, or brainstorm interactively from scratch. Exports .drawio files with optional PNG/SVG/PDF export via draw.io desktop CLI.
Deploy applications to AWS. Triggers on phrases like: deploy to AWS, host on AWS, run this on AWS, AWS architecture, estimate AWS cost, generate infrastructure. Analyzes any codebase and deploys to optimal AWS services.
Follow the workflow shown below. Locate the dataset, check the file type, and resolve any issues with missing files or wrong file types. Determine the fine-tuning model and fine-tuning strategy. Run s
Transforms a data set provided by the user into their desired format. All transformation code is delivered as a Jupyter notebook.
Generate comprehensive issue reports from HyperPod clusters (EKS and Slurm) by collecting diagnostic logs and configurations for troubleshooting and AWS Support cases. Use when users need to collect diagnostics from HyperPod cluster nodes, generate issue reports for AWS Support, investigate node failures or performance problems, document cluster state, or create diagnostic snapshots. Triggers on requests involving issue reports, diagnostic collection, support case preparation, or cluster troubleshooting that requires gathering logs and system information from multiple nodes.
Remote command execution and file transfer on SageMaker HyperPod cluster nodes via AWS Systems Manager (SSM). This is the primary interface for accessing HyperPod nodes — direct SSH is not available. Use when any skill, workflow, or user request needs to execute commands on cluster nodes, upload files to nodes, read/download files from nodes, run diagnostics, install packages, or perform any operation requiring shell access to HyperPod instances. Other HyperPod skills depend on this skill for all node-level operations.
Check and compare software component versions on SageMaker HyperPod cluster nodes - NVIDIA drivers, CUDA toolkit, cuDNN, NCCL, EFA, AWS OFI NCCL, GDRCopy, MPI, Neuron SDK (Trainium/Inferentia), Python, and PyTorch. Use when checking component versions, verifying CUDA/driver compatibility, detecting version mismatches across nodes, planning upgrades, documenting cluster configuration, or troubleshooting version-related issues on HyperPod. Triggers on requests about versions, compatibility, component checks, or upgrade planning for HyperPod clusters.
Identifies the correct deployment pathway based on model characteristics and generates deployment code.
Creates a reusable use case specification file that defines the business problem, stakeholders, and measurable success criteria for model customization, as recommended by the AWS Responsible AI Lens. Use as the default first step in any model customization plan. Skip only if the user explicitly declines or already has a use case specification to reuse. Captures problem statement, primary users, and LLM-as-a-Judge success tenets.
Integrate Convex static self hosting into existing apps using the latest upstream instructions from get-convex/self-hosting every time. Use when setting up upload APIs, HTTP routes, deployment scripts, migration from external hosting, or troubleshooting static deploy issues across React, Vite, Next.js, and other frontends.
Anthony Fu's {Opinionated} preferences and best practices for web development
This directory is the core state synchronization layer, responsible for observing the VS Code environment and broadcasting state changes to the backend server (via the `../comms` system).