By mvolkov83
Python gRPC async-first Kubernetes-native best practices using grpc.aio — server bootstrap with graceful shutdown, shared per-process channel factory, canonical decorator pattern for cross-cutting concerns, max_connection_age_* for HPA rebalancing, client-side LB via dns:/// + round_robin over a headless Service (no service mesh), ERROR_MAP + rich google.rpc.Status error model, client-side translation hierarchy
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npx claudepluginhub mvolkov83/skills --plugin grpc-python-best-practicespytest async-first testing best practices — test layer structure, fixture design, async testing with pytest-asyncio, test data with factory_boy + faker, HTTP mocking with respx, time mocking with freezegun, property-based testing with hypothesis, DB transaction-rollback isolation, flush() pattern for chained fixtures, pytest-xdist parallelism
SQLAlchemy 2.0 async-first best practices — engine and pool config, Mapped[T] models, relationship loading strategies (selectin/select/write_only), query optimization, async sessions and transactions, FastAPI dependency injection
FastAPI production best practices — domain-organized project structure, async correctness, DI patterns with per-request caching and chaining, Pydantic v2 split create/update/response models, Pydantic Settings v2, async testing with httpx.AsyncClient
Git workflow best practices — Git Flow branch prefixes, Conventional Commits format, atomic commits with imperative mood, pre-commit hygiene, pull --rebase before push, no force-push to shared branches, max ~400 LOC per PR, squash on merge for clean main history
Python observability best practices using OpenTelemetry — SDK bootstrap with off-switch contract and idempotency guard, auto-instrumentation (gRPC / SQLAlchemy / FastAPI / Logging), the LoggingInstrumentor + structlog correlation pattern with custom log hook and CleanLoggingHandler, two-tier log field taxonomy, span attribute conventions with <service>.<key> prefix for cross-service Tempo search, sensitive-field redaction at the serialization boundary, status taxonomy, metrics cardinality control, tail-based sampling, and Sentry-with-OTel integration
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
This skill should be used when users need to generate ideas, explore creative solutions, or systematically brainstorm approaches to problems. Use when users request help with ideation, content planning, product features, marketing campaigns, strategic planning, creative writing, or any task requiring structured idea generation. The skill provides 30+ research-validated prompt patterns across 14 categories with exact templates, success metrics, and domain-specific applications.
Develop, test, build, and deploy Godot 4.x games with Claude Code. Includes GdUnit4 testing, web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
A growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.