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Found 84 Skills
System architecture guidance for Python/React full-stack projects. Use during the design phase when making architectural decisions — component boundaries, service layer design, data flow patterns, database schema planning, and technology trade-off analysis. Covers FastAPI layer architecture (Routes/Services/Repositories/Models), React component hierarchy, state management, and cross-cutting concerns (auth, errors, logging). Produces architecture documents and ADRs. Does NOT cover implementation (use python-backend-expert or react-frontend-expert) or API contract design (use api-design-patterns).
Employer-side hiring for developer-platform roles - API Product Manager, Platform Engineer/Architect, Partner/Integration Engineer. Disambiguates "platform engineer" first, since the term overwhelmingly means internal developer platforms elsewhere in the industry. Calibrates the scorecard to company archetype (infra/API-first, bolt-on public API, enterprise partner ecosystem), flags a scope-collapse pattern distinct from DevRel's gatekeeper/pit-trap taxonomy, sources from apidays, not PlatformCon's internal-IDP audience, builds the loop from the API-design-vs-system-design interview split, and benchmarks compensation against the general engineering/PM ladder rather than a bespoke platform title. Use when the user asks how to hire a platform engineer, API product manager, or partner/integration engineer, write a posting, or design a loop. Do NOT use for candidate prep (samber/developer-platform-skills@developer-platform-career) or DevRel hiring (samber/developer-relations-skills@devrel-hiring).
Plans a developer-platform career from the candidate side - API Product Manager, Platform Engineer/Architect, Partner/Integration Engineer. Disambiguates "platform engineer" first - the term overwhelmingly means internal developer platforms (Kubernetes, Backstage, golden paths) elsewhere in the industry; this skill covers only the external/public-API-platform track. States the key finding that splits this track from DevRel's - platform compensation rides the general engineering/PM ladder, not a separate undersurveyed one. Covers GitLab's real Partner Engineer ladder, the API-design-vs-system-design interview split, and RFC/design-doc portfolio signals. Use when the user asks how to break into platform/API product work, prep for a platform or API-PM interview, or evaluate an offer. Do NOT use for hiring (samber/developer-platform-skills@developer-platform-hiring) or advocate/community/educator roles (samber/developer-relations-skills@devrel-career).
Unix-composable CLI design patterns. Use when building CLI tools, designing command trees, implementing output layers, or testing CLI behavior. Covers stream separation (stdout/stderr), format flags (--json/--plain), exit codes, TTY detection, composability, and error design. Language-agnostic principles; TypeScript implementation patterns in resources/. For API design (REST, HTTP), see api-design.
Generate multiple radically different interface designs for a module using parallel sub-agents. Use when user wants to design an API, explore interface options, compare module shapes, or mentions "design it twice".
How to write modern Swift well — modeling with value types, Swift 6 data-race safety and approachable concurrency (@concurrent, main-actor-by-default, actors, task groups), protocols and generics (some vs any), API design, performance and ARC, Swift Testing, macros, and the modern language features agents don't know about yet. Use when writing, reviewing, or migrating Swift, or when a concurrency error, a hang, a data race, a retain cycle, or a performance problem needs fixing.
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
Deliver Python backends across async FastAPI and Django or Flask service styles while keeping API design, validation, auth, and service behavior explicit.
Use when writing, reviewing, or refactoring Go code; when handling errors (fmt.Errorf, %w, sentinel, errors.Is, errors.As); when deciding between panic, error return, and log.Fatal; when writing tests (table-driven, t.Helper, t.Fatal vs t.Error, goroutines); when designing API surface (option struct, variadic options, channel direction, context); when naming functions, methods, packages, receivers, or test doubles; when laying out packages and imports; when initializing variables or building strings.
Master C#/.NET backend development patterns for building robust APIs, MCP servers, and enterprise applications. Covers async/await, dependency injection, Entity Framework Core, Dapper, configuration, caching, and testing with xUnit. Use when developing .NET backends, reviewing C# code, or designing API architectures.
Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.