API and Interface Design
Design API and module boundaries with clear contracts, error semantics, pagination, and additive compatibility. Use before implementing REST/GraphQL endpoints, SDKs, or public module APIs.
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Design API and module boundaries with clear contracts, error semantics, pagination, and additive compatibility. Use before implementing REST/GraphQL endpoints, SDKs, or public module APIs.
Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex;...
Design systems, services, and architectures. Trigger with "design a system for", "how should we architect", "system design for", "what's the right architecture for", or when the user needs help with API design, data modeling, or service boundaries.
Measure, identify bottlenecks, fix, verify, and guard performance regressions. Use for web vitals, slow APIs, heavy notebooks/pipelines, or video/render workloads. Triggers: "performance", "optimize", "slow", "latency", "bundle size", "profiling".
Debug serverless and edge functions—limited logs, cold starts, timeouts, env/config mismatches. Use for Lambda, Cloud Functions, Workers, Vercel/Netlify functions. Triggers: "serverless", "Lambda", "edge function", "cold start", "function timeout".
Design and implement secure APIs—authentication patterns, authorization models, input validation, secrets handling, and safe defaults. Use when designing new endpoints, auth flows, or reviewing API contracts. Triggers: "secure API", "auth design", "JWT", "OAuth", "API best practices".
Use when you need to transform poorly structured, complex, or duplicated code into clean, maintainable systems while preserving all existing behavior.
Simplify working code while preserving behavior—remove dead paths, flatten nesting, clarify names, reduce duplication. Use after features work but code feels over-engineered.
Safety guardrails for destructive commands. Warns before rm -rf, DROP TABLE, force-push, git reset --hard, kubectl delete, and similar destructive operations. User can override each warning. Use when touching prod, debugging live systems, or working in a shared environment. Use when asked to \"be...
Identify, categorize, and prioritize technical debt. Trigger with "tech debt", "technical debt audit", "what should we refactor", "code health", or when the user asks about code quality, refactoring priorities, or maintenance backlog.
Launch GStack Browser — AI-controlled Chromium with the sidebar extension
Use this agent when you need to deploy, optimize, or serve machine learning models at scale in production environments.
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