Total 50,525 skills, Backend Development has 4135 skills
Showing 12 of 4135 skills
Build type-safe D1 databases with Drizzle ORM for Cloudflare Workers. Includes schema definition, migrations with Drizzle Kit, relations, and D1 batch API patterns. Prevents 12 errors including SQL BEGIN failures. Use when: defining D1 schemas, managing migrations, writing type-safe queries, implementing relations or prepared statements, using batch API for transactions, or troubleshooting D1_ERROR, BEGIN TRANSACTION, foreign keys, migration apply, or schema inference errors. Prevents 12 documented issues: D1 transaction errors (SQL BEGIN not supported), foreign key constraint failures during migrations, module import errors with Wrangler, D1 binding not found, migration apply failures, schema TypeScript inference errors, prepared statement caching issues, transaction rollback patterns, TypeScript strict mode errors, drizzle.config.ts not found, remote vs local database confusion, and wrangler.toml vs wrangler.jsonc mixing. Keywords: drizzle orm, drizzle d1, type-safe sql, drizzle schema, drizzle migrations, drizzle kit, orm cloudflare, d1 orm, drizzle typescript, drizzle relations, drizzle transactions, drizzle query builder, schema definition, prepared statements, drizzle batch, migration management, relational queries, drizzle joins, D1_ERROR, BEGIN TRANSACTION d1, foreign key constraint, migration failed, schema not found, d1 binding error
Complete Guide to Pipeline Variable Management, covering variable lifecycle (creation, initialization, update, storage, transfer, query) and variable field extension (field definition, type extension, scope, inheritance). Used when users develop variable functions, handle variable transfer, extend variable fields, or debug variable issues.
Create Dojo models for storing game state with proper key definitions, trait derivations, and ECS patterns. Use when defining game entities, components, or state structures.
Understand implementation details of .NET code by decompiling assemblies. Use when you want to see how a .NET API works internally, inspect NuGet package source, view framework implementation, or understand compiled .NET binaries.
Managing local .NET tools with dotnet-tools.json for consistent tooling across development environments and CI/CD pipelines.
Expert-level Flask web development, REST APIs, extensions, and production deployment
Rust performance optimization covering memory allocation, ownership efficiency, data structure selection, iterator patterns, async concurrency, algorithm complexity, compile-time optimization, and micro-optimizations. Use when optimizing Rust code performance, profiling hot paths, reducing allocations, or choosing optimal data structures. Complements the rust-refactor skill (idiomatic patterns and architecture). Does NOT cover code style, naming conventions, or project organization (see rust-refactor skill).
Kotlin + Arrow typed error handling using Raise DSL and wrapper types (Either/Option/Ior/Result/nullable), including validation with accumulation, interop with exceptions, and custom error wrappers. Use for designing or refactoring error modeling, converting exception-based flows, building smart constructors, accumulating validation errors, or integrating Outcome/Progress-style wrappers with Arrow.
Use when working in a Ruby project - provides authoritative sources for documentation, typing, and tooling
Multi-repo synthesis and reimagination. Load reverse-engineering docs from multiple repositories, extract a unified capability map, identify duplication and inefficiency, then brainstorm with the user to reimagine how those capabilities could work together in a new, better way. Generates new specifications for the reimagined system. The killer feature for enterprise modernization.
API design patterns for REST/GraphQL framework design, versioning strategies, and RFC 9457 error handling. Use when designing API endpoints, choosing versioning schemes, implementing Problem Details errors, or building OpenAPI specifications.
Async job processing patterns for background tasks, Celery workflows, task scheduling, retry strategies, and distributed task execution. Use when implementing background job processing, task queues, or scheduled task systems.