Build Solidity contract tests with Hardhat and Foundry. Check individual functions, contract interactions, gas usage, and varied inputs, and use a local copy of mainnet state to test against existing contracts.
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Review and write Solidity smart contracts with security in mind. Address reentrancy, where external calls trigger repeated execution, along with numeric overflow and access control issues, using implementation patterns, security tests, and documentation for audit preparation.
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Build NFT contracts using ERC-721 and ERC-1155, standards for unique assets and multiple token types. Covers issuance limits, descriptive metadata, marketplace integration, and royalty information for art collections, collectibles, and game items.
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Build decentralized finance contracts from Solidity templates for staking and token swaps. Examples cover reward distribution, adding and removing pooled tokens, and swap calculations, with additional patterns for governance and flash loans.
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Review a product or major feature before development starts. Assess demand, revenue, repeat use, trust, and user reach, then identify the riskiest assumption, a small validation step, and work to delay.
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Test Temporal workflows in Python with pytest. Use time skipping to avoid long waits, replace activities with controlled test versions, and replay execution histories to check that workflow changes remain consistent with previous runs.
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Design query-ready data from streams of recorded events. The skill guides read models, databases shaped for queries, with practices for replaying events, resuming after failures, and tracking delays in dashboards or search indexes.
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Plan and implement user login and access permissions using sessions, JWT tokens, or OAuth2. Apply role-based permissions, protect APIs, and review common weaknesses in password handling, cookies, token expiration, and server-side checks.
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Plan microservices by defining service responsibilities, communication methods, and data ownership. Use patterns for gradual migration, distributed transactions, and failure isolation to design systems made of independently responsible services.
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Set up monitoring for communication between services in Istio or Linkerd environments. Combine metrics, logs, and distributed traces, which follow requests across services, to investigate delays and errors, visualize dependencies, and define service quality targets.
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Guide web app testing with screen readers such as VoiceOver, NVDA, and JAWS. Check forms, dialogs, keyboard navigation, and spoken update notifications to identify accessibility problems across desktop and mobile browser combinations.
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Configure a Claude Code hook that checks shell commands before execution and blocks flags that skip Git checks or commit signing. It helps preserve existing commit quality checks while documenting the guard's limits.
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Design storage for event sourcing, an approach that records changes as events. Compare database options and plan event ordering, duplicate handling, concurrent writes, and scaling to build a consistent event persistence layer.
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Design and implement Saga workflows across services, using compensating actions to undo completed work after failures. Define step deadlines, handle repeated messages safely, and monitor stalled order, booking, or other long-running processes.
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Plan Claude Code agent teams by choosing team size, roles, and agent types with the tools each task needs. Preset compositions cover reviews, debugging, implementation, research, security audits, and migrations, alongside display settings for local or CI environments.
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Design KPI dashboards that help teams make decisions using clearly defined performance measures. Choose relevant metrics, organize summary and detail views, document calculations, and address inconsistent figures, database load, and excessive alerts.
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Create GitHub Actions workflows to automate testing, builds, and deployments. Includes patterns for Docker image publishing, Kubernetes deployment, security scans, and testing across multiple environments, plus reusable workflows and approval steps for production releases.
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Design separate paths for updating and reading data using CQRS, an approach that splits these responsibilities. Organize read models, event handling, and validation to support complex queries and scale reads independently from writes.
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Design or refactor backend services with clear layers and dependency rules. Using Clean Architecture, Hexagonal Architecture, and Domain-Driven Design, it separates business logic from databases and frameworks and defines interfaces that support testing without external services.
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Design and review REST and GraphQL APIs with consistent naming, data structures, error responses, pagination for large result sets, and versioning strategies. Helps teams define shared standards and plan changes that existing clients can adopt gradually.
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Audit websites against WCAG 2.2, guidelines for making web content accessible. Combine automated checks with manual verification to identify barriers, prioritize issues by impact, and guide fixes to page structure and interactive components.
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Review prose for repetitive wording, inflated language, and overly regular structure. Get an issues-only audit, a rewritten version, or targeted file edits that preserve the author's voice, existing facts, and protected quoted material.
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Set up Python APIs with FastAPI using organized project templates. Build routes, asynchronous database operations, authentication, and error handling, with examples for sharing dependencies and testing endpoints through a separate test database.
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Improve slow Apache Spark jobs by reviewing data partitions, caching, memory settings, and shuffles, which move data between workers. Use the guidance to investigate bottlenecks and tune pipelines for larger datasets.
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