sqlite-db-ops
SQLite 数据库操作技能,提供完整的增删改查 (CRUD) 功能。使用此技能当需要:(1) 创建或管理 SQLite 数据库,(2) 执行数据库的增删改查操作,(3) 批量数据导入导出,(4) 执行自定义 SQL 查询,(5) 查看数据库结构和表信息。支...
Skills correspondant au nom, à la description ou à l’auteur GitHub.
SQLite 数据库操作技能,提供完整的增删改查 (CRUD) 功能。使用此技能当需要:(1) 创建或管理 SQLite 数据库,(2) 执行数据库的增删改查操作,(3) 批量数据导入导出,(4) 执行自定义 SQL 查询,(5) 查看数据库结构和表信息。支...
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...
Evidence-based QC decision-making for neuroimaging data. Interpret QC metrics from any pipeline (fMRIPrep, MRIQC, FreeSurfer, MNE-Python, Homer3, custom outputs) to make justified inclusion/exclusion decisions....
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
DSA-110 radio astronomy pipeline development with Python 3.11+, Dagster workflows, CASA integration, FastAPI, GraphQL/Strawberry, and scientific computing best practices. Use for any work on the dsa110-contimg...
DSA-110 radio astronomy pipeline development with Python 3.11+, Dagster workflows, CASA integration, FastAPI, GraphQL/Strawberry, and scientific computing best practices. Use for any work on the dsa110-contimg...
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.
Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.
Async/await patterns, asyncio/anyio, structured concurrency, async testing
Universal coding standards, best practices, and patterns for Python development.
Standards for creating decoupled wxPython components (Panels, Dialogs).
Data analysis, scientific computing, visualization with pandas, numpy, matplotlib
Unified analysis skill - Python data analysis (--data) or KB gap identification (--kb)
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
Comprehensive security vulnerability scanner for Python projects including Flask, Django, and FastAPI applications. Detects OWASP Top 10 vulnerabilities, injection flaws, insecure deserialization, authenticatio...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.