debug-config-expert
C#/Python调试配置专家技能:负责launch.json/tasks.json配置、断点策略建议、日志级别管理、环境变量配置、多目标调试。使用时需要配置调试文件、建议断点策略、管理日志级别、配置环境变量、设置多目标调试。
Skills matching the name, description or GitHub author.
C#/Python调试配置专家技能:负责launch.json/tasks.json配置、断点策略建议、日志级别管理、环境变量配置、多目标调试。使用时需要配置调试文件、建议断点策略、管理日志级别、配置环境变量、设置多目标调试。
Debug and resolve common uv issues. Learn to diagnose dependency resolution failures, handle version conflicts, fix cache problems, troubleshoot Python environment issues, optimize performance, and solve platfo...
Create Home Assistant Lovelace dashboard cards programmatically with static titles, color gradients, and section organization. Use when building HA dashboards with mini-graph-card showing multiple entities, add...
Validates Home Assistant dashboard and configuration changes using a 3-tier approach: pre-publish validation (entity checks, config structure), post-publish verification (log analysis), and visual validation (b...
Work with Google Cloud Pub/Sub in Python: setup, topics, subscriptions, publishing, subscribing, dead letter queues, and emulator. Use when building event-driven architectures, implementing message queuing, or...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
Python specialist for Faiston One Platform. Use when writing FastAPI endpoints, Google ADK agents, async patterns, Pydantic models, and Lambda handlers. PROACTIVE for code review and refactoring.
Adds GitHub Actions workflows for publishing Python packages to PyPI and TestPyPI. Use when the user mentions PyPI publishing, GitHub Actions, package deployment, CI/CD automation, or Python package release.
Performance optimization, profiling, benchmarking, memory management
Write effective test assertions with clear error messages, null safety, and proper validation. Use when asked to "write assertions", "validate test results", "check conditions", "test expectations", or when wri...
**[src/api専用]** バックエンド(Python/FastAPI)のテストコードを作成する際に使用します。 ユニットテスト、統合テスト、エンドツーエンドテストなど、あらゆる種類のテストコードを生成するためにこのスキルを利用してく...
Use mocking and test doubles to isolate code under test from external dependencies. Use when asked to "mock dependencies", "create test doubles", "isolate tests", "avoid external calls", or when testing code th...
Organize tests into maintainable structures with helper modules, clear patterns, and quality standards. Use when asked to "organize tests", "structure test suite", "create test helpers", or when building compre...
Testing strategies, pytest patterns, fixtures, mocking, coverage
Complete SDK implementations for Interactor platform integration. Use when building TypeScript/Node.js or Python applications that need full Interactor client libraries. Includes complete client classes, webhoo...
Modern Python development with Python 3.12+, Django, FastAPI, async patterns, and production best practices. Use for Python projects, APIs, data processing, or automation scripts.
Review code for best practices. Enforces universal rules plus language-specific rules for TypeScript and Python. Use when reviewing PRs, code changes, or auditing code quality.
Validate code examples across the 4-Layer Teaching Method with intelligent strategy selection. Use when validating Python/Node/Rust code in book chapters. NOT for production deployment testing.
Generate pytest tests with parametrization, shared fixtures, minimal mocking. Use for unit tests and test coverage. Follows 1-1 file mapping and real object testing.
Use this skill to write unit tests for Python code using pytest.
Pytest testing patterns for Python. Trigger: When writing or refactoring pytest tests (fixtures, mocking, parametrize, markers).
A comprehensive plugin for creating and verifying Claude Agent SDK applications in Python and TypeScript.
Build AI applications with Microsoft Semantic Kernel. Create plugins, planners, memory systems, and AI orchestration. Use for enterprise AI integration, .NET/Python AI development, and LLM application framework...
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