Total 33,064 skills
Showing 12 of 33064 skills
Test application performance, scalability, and resilience. Use when planning load testing, stress testing, or optimizing system performance.
Use when designing GraphQL schemas with Absinthe. Covers type definitions, interfaces, unions, enums, and schema organization patterns.
Ruby and Rails best practices for services, testing, and architecture. Use when: - Writing or reviewing Ruby/Rails code - Designing service objects or organizing business logic - Setting up RSpec tests with FactoryBot - Building APIs with JSON serialization - Optimizing Rails performance (N+1, caching) Keywords: Ruby, Rails, RSpec, FactoryBot, service object, strong params, N+1 query, Sidekiq, RuboCop, Thor CLI
JSON flat view, schema inference, and edit tool. Use when the user provides a JSON file or data and wants to explore its structure, infer its schema, or modify fields. Triggers on: view json, edit json, json schema, json structure, set json field, jstool, analyze json, flat view, orderbook, json flat.
Manage Helm releases: install, upgrade, uninstall, list, and inspect releases. Covers helm install, helm upgrade, helm list, helm status, release history. Use when user mentions deploying Helm charts, upgrading releases, helm install, helm upgrade, or managing Kubernetes deployments with Helm.
Use when capturing and reporting errors to Sentry, adding context, or handling exceptions. Covers error boundaries, context enrichment, and fingerprinting.
Use when working with Ruby metaprogramming features including dynamic method definition, method_missing, class_eval, define_method, and reflection.
Unified code review system — dispatches the right review agents for the situation. Use when reviewing code for quality, bugs, compliance, or before merging.
Generate pytest test cases for Python functions and classes
Use when Rust async programming with tokio, async/await, and futures. Use when writing asynchronous Rust code.
Use when managing multiple environments with Pulumi stacks for development, staging, and production deployments.
Master Python asynchronous programming with asyncio, async/await, and concurrent.futures. Use for async code and concurrency patterns.