Discover devops architecture patterns skills, compare source repositories and read the instructions for each workflow.
This skill should be used when the user asks to "analyze local-first patterns", "review offline support", "check sync implementation", "audit conflict resolution", "review optimistic updates", "check offline ca...
This skill should be used when the user asks to "analyze architecture", "review code structure", "check SOLID principles", "evaluate layering", "assess separation of concerns", "review module organization", or...
Go backend patterns including chi router, gRPC, pgx, context handling, and concurrency.
Incident response and remediation patterns including observability, diagnosis, and targeted fixes.
Supervisor, swarm, and hierarchical multi-agent architectures with context isolation patterns.
Test-driven development discipline - RED-GREEN-REFACTOR cycle with strict enforcement. Use when implementing any feature or bugfix, before writing implementation code.
CTO Platform lifecycle expertise - Play workflow orchestration, intake processing, MCP tools, and agent sequencing. Use when managing the full development lifecycle from PRD to deployed code.
Model UI updates as transactions to ensure consistency across complex interactions.
Design deterministic state machines that remain correct under concurrent rendering and re-entrancy.
Build collaborative surfaces using CRDTs or OT, synchronized with React's update model.
Model complex UI flows using finite state machines to ensure deterministic behavior.
Decouple business logic from UI using Inversion of Control with Context and Hooks.
Design UI graphs that remain resilient to partial failures and unstable dependencies.
Engineer hook ecosystems with composable, scalable abstractions that preserve correctness under concurrency.
Build mechanisms to debounce and deduplicate redundant data fetching requests.
Establish governance models for large React 18 codebases to preserve architectural integrity.
Design routing and code-splitting strategies that scale to large applications with minimal load-time overhead.
Engineer SSR caching strategies that preserve correctness under concurrent updates and streaming.
Engineer resilient UI systems with layered error boundaries, retries, and fallback orchestration.
Apply graph theory to decompose large UIs into optimal rendering subgraphs.
Establish scalable architecture using modular boundaries, domain-driven design, and consistent data access patterns.
Minimizing client bundles through aggressive use of Server Components and streaming protocols.
Guarantee UI stability during extreme rendering pressure using boundary partitioning and adaptive throttling.
Master side-effect design under StrictMode and concurrent rendering, ensuring deterministic behavior.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.