按技能名称、说明或 GitHub 作者匹配的结果。
A comprehensive, long-horizon skill for designing, coding, debugging, and scaling AI-integrated systems — including Python backends, React frontends, RAG pipelines, vector databases, and tool orchestration. Ens...
Maintain approved technology stack including TypeScript/Python languages, React/Tailwind frontend, Node.js/FastAPI backend, PostgreSQL/Redis persistence, and Ansible infrastructure automation with enforced qual...
Instrument Java/Spring Boot applications with observability metrics. Use when adding metrics to microservices, integrating with monitoring systems (Prometheus, Cloud Monitoring), managing metric cardinality, or...
Export Micrometer metrics to GCP Cloud Monitoring (Stackdriver) for GKE deployments. Use when setting up metrics export in Kubernetes environments, configuring Workload Identity, managing metric prefixes and re...
Define and monitor Service Level Indicators (SLIs) and Service Level Objectives (SLOs) using Micrometer histograms. Use when implementing availability and latency SLOs, creating SLO-aligned histogram buckets, m...
Add OpenTelemetry instrumentation to service methods for distributed tracing and observability. Use when adding new service methods, debugging complex flows, investigating performance issues, or need distribute...
Implement domain-specific KPI metrics for business operations like charges, invoices, payments. Use when instrumenting service layer operations, measuring business process outcomes, implementing SLI/SLO monitor...
Set up Micrometer metrics in a Spring Boot service from scratch, including dependencies, Actuator configuration, and registry customization. Use when starting a new microservice, configuring metrics export back...
Prevent OutOfMemoryError from unbounded metric tags by implementing cardinality limits. Use when adding tags to Micrometer metrics, normalizing URIs or IDs to bounded categories, monitoring metric explosion, or...
Implement OpenTelemetry (OTEL) logging with trace context correlation and structured logging. Use when setting up production logging with OTEL exporters, structlog/loguru integration, trace context propagation,...
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development for FastAPI applications. Use when writing Python tests, setting up test suites, or implementing testing be...
Test custom Micrometer metrics in unit and integration tests using SimpleMeterRegistry. Use when writing tests for services that record metrics, validating metric values after operations, testing percentiles an...
Complete patterns for testing async Python code with pytest: pytest-asyncio configuration, AsyncMock usage, async fixtures, testing FastAPI with AsyncClient, testing Kafka async producers/consumers, event loop...
Create pytest fixtures following project patterns including factory fixtures, async fixtures, and multi-layer organization. Use when setting up test fixtures, creating test data, organizing test utilities, or s...
Evidence-based test debugging enforcing systematic root cause analysis. Use when tests are failing, pytest errors occur, test suite not passing, debugging test failures, or fixing broken tests. Prevents assumpt...
Verifies that implemented code is actually integrated into the system and executes at runtime, preventing "done but not integrated" failures. Use when marking features complete, before moving ADRs to completed...
Set up async tests with proper fixtures and mocks using pytest-asyncio patterns. Use when testing async functions, creating async fixtures, mocking async services, or handling async context managers. Covers @py...
Auto-generate constructor validation tests from service class signatures. Use when creating tests for new services, validating fail-fast principle, ensuring constructor validation, or testing required parameter...
C#/Python测试生成器技能：负责单元测试骨架生成、Mock对象创建、测试数据构造、边界条件覆盖、测试项目结构管理。使用时需要生成测试骨架、创建Mock对象、构造测试数据、覆盖边界条件、管理测试项目结构。
Property-based testing with Hypothesis for Python projects. Use when writing property tests, testing invariants, generating test cases, fuzz testing, roundtrip testing, or validating behavior across many inputs...
Python conventions and reliability checklist for agents (tests, formatting, typing where appropriate).
Enforce Python 3.12+ coding conventions when editing or creating Python code. Use for tasks that touch .py files, focusing on style, naming, typing, error handling, and performance-oriented idioms.
C#/Python代码规范审查员技能：负责编码规范检查、命名约定验证、格式化配置(EditorConfig)、代码风格一致性、静态代码分析规则。使用时需要检查代码规范、配置格式化规则、确保代码风格一致性。
Run ruff linting and formatting with configuration details and common fixes. Use when checking code style, formatting files, fixing lint violations, or before commits. Explains ruff check vs ruff format, --fix...
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。