python-performance-optimization
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Killer-Skillsディレクトリで数千のAI Agentスキルを探索・インストール。Claude Code、Windsurf、Cursorなどに対応。
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
MediaPipe pose detection expertise. Use when debugging landmark tracking, adjusting confidence thresholds, fixing pose detection issues, working with pose.py and video_io.py, or validating pose detection with manual observation.
Write production-quality Rust code following industry best practices and idiomatic patterns. Use for any Rust coding task including applications, libraries, refactoring, debugging, or code review — with particular expertise in cross-platform GUI development.
This skill should be used when debugging GLSL shaders, when shader output looks wrong, when the user mentions shader not working, debug shader, test shader, or when troubleshooting GPU rendering issues in this project.
Enables live interaction with the NetAlertX runtime. This skill configures the Model Context Protocol (MCP) connection, granting full API access for debugging, troubleshooting, and real-time operations including database queries, network scans, and device management.
Pinia store TypeScript configuration and typing issues. Covers storeToRefs type loss, getters circular references, and setup store patterns. Use when working with Pinia stores in Vue 3 projects, debugging store type errors, or fixing storeToRefs type inference.
End-to-end workflow for HookCode preview DOM highlighting check/start/stop previews, install dependencies, send highlight commands, and verify preview bridge readiness via PAT-authenticated APIs. Use when debugging cross-origin preview iframes, validating bridge integration, or scripting highlight requests against task-group previews.
Expert Django backend development guidance. Use when creating Django models, views, serializers, or APIs; debugging ORM queries or migrations; optimizing database performance; implementing authentication; writing tests; or working with Django REST Framework. Follows Django best practices and modern patterns.
Use when implementing or debugging mobile/native network requests, API calls, or data fetching. Covers fetch API, auth/session flows, error handling, caching strategies, and offline support. For GraphQL use graphql-frontend; for existing frontend REST code follow the repos Axios service layer.
Provide implementation patterns and runnable examples for the Temporal Rust SDK prototype. Use when building, migrating, or debugging Temporal applications in Rust, including Workflow and Activity authoring, Worker and Client wiring, Signal handling, Local Activities, Saga compensation, and activity registration strategies.
Develops reactive Livewire 4 components. Activates when creating, updating, or modifying Livewire components; working with wire:model, wire:click, wire:loading, or any wire: directives; adding real-time updates, loading states, or reactivity; debugging component behavior; writing Livewire tests; or when the user mentions Livewire, component, counter, or reactive UI.
Use when writing tests, structuring test suites, choosing test boundaries, or debugging test quality issues like flakiness, over-mocking, or brittle tests. Also use when deciding between unit/integration/E2E tests, when tests break during refactoring (sign of testing implementation details), or when test setup exceeds 20 lines. Covers AAA structure, DAMP naming, mock boundaries, and the testing pyramid.