发现 测试与安全 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Build FastAPI applications using Clean Architecture principles with proper layer separation (Domain, Infrastructure, API), dependency injection, repository pattern, and comprehensive testing. Use this skill whe...
Implement Brazilian financial system integrations including Boleto generation, PIX payments, parcelamento (installments), CPF/CNPJ validation, and Banco do Brasil API integration. Use this skill when building f...
This skill should be used when the user asks to "set up a team", "create a swarm", "spawn teammates", "assign tasks", "coordinate agents", "work in parallel", "divide work among agents", "orchestrate multiple a...
Auto-loads when CLAUDE_CODE_IS_TEAM_LEAD environment variable is set. Provides guidance for spawned team-leads on monitoring teammates, handling consults, assigning tasks, and coordinating the team. Use this wh...
Diagnostic and recovery guidance for swarm coordination issues. Use this skill when you encounter 'spawn failed', need to 'diagnose team', 'fix swarm', resolve 'status mismatch', perform 'recovery', troubleshoo...
Auto-loads when CLAUDE_CODE_TEAM_NAME environment variable is set. Provides guidance for Claude Code teammates working in swarms - identity awareness, communication patterns, task management, and coordination p...
Writes tests following project conventions. Handles test file organization, runtime vs type tests, table-driven tests with Test module, and type assertions with Assert API.
Synchronizes tsconfig.json paths from package.json imports field. Ensures TypeScript resolves subpath imports (#imports) correctly during development.
Refreshes README.md documentation tables including the packages table and core namespace index. Reads from package.json files and core module JSDoc.
Audits the project for consistency issues that may arise from manual editing. Checks package scripts, tsconfig paths, README tables, and other conventions.
Creates new packages in the @kitz monorepo with proper structure, configuration, and workspace integration. Handles package.json, tsconfigs, source files, and runs necessary sync scripts.
Creates commits following project conventions. Handles Conventional Commits with project-specific scopes, PR title requirements, changesets for releases, and CI validation rules.
How to run scripts in this pnpm + turbo monorepo. Covers turbo task filtering, caching, package-local scripts, and common pitfalls.
Implements functions following project conventions. Applies data-first parameter order, currying patterns with *On and *With variants, and consistent universal operation names.
Authors and manages global package scripts using the _: prefix convention. Scripts defined in root package.json are propagated to all packages with the prefix stripped.
Creates new modules within existing packages following project conventions. Handles file structure, barrel exports, namespace files, package.json imports/exports, and internal import patterns.
Python fundamentals, data structures, OOP, and data science libraries (Pandas, NumPy). Use when writing Python code, data manipulation, or algorithm implementation.
EDA, dashboards, Matplotlib, Seaborn, Plotly, and BI tools. Use for creating visualizations, exploratory analysis, or dashboards.
Docker, Kubernetes, CI/CD, model monitoring, and cloud platforms. Use for deploying ML models to production, setting up pipelines, or infrastructure.
ETL pipelines, Apache Spark, data warehousing, and big data processing. Use for building data pipelines, processing large datasets, or data infrastructure.
Neural networks, CNNs, RNNs, Transformers with TensorFlow and PyTorch. Use for image classification, NLP, sequence modeling, or complex pattern recognition.
Text processing, sentiment analysis, LLMs, and NLP frameworks. Use for text classification, named entity recognition, or language models.
ARIMA, SARIMA, Prophet, trend analysis, seasonality detection, anomaly detection, and forecasting methods. Use for time-based predictions, demand forecasting, or temporal pattern analysis.
Probability, distributions, hypothesis testing, and statistical inference. Use for A/B testing, experimental design, or statistical validation.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。