Loading...
Loading...
Found 3,725 Skills
Expert-level performance optimization, profiling, benchmarking, and tuning
Unit tests for @ConfigurationProperties classes with @ConfigurationPropertiesTest. Use when validating application configuration binding and validation.
Unit tests for service layer with Mockito. Test business logic in isolation by mocking dependencies. Use when validating service behaviors and business logic without database or external services.
Transform approved requirements into comprehensive technical designs. Define system architecture, component interactions, data models, and interfaces to create a blueprint for implementation.
Use when building or reviewing external API integrations in Python — designing client boundaries, defining outbound reliability policy, or structuring contract tests. Also use when provider SDK details leak into domain logic, outbound calls lack timeout/retry policy, or failure paths are untested.
Bug diagnosis and fixing specialist - analyzes errors, identifies root causes, provides fixes, and writes regression tests
Use when applying Behavior-Driven Development patterns including Given-When-Then structure, feature files, and acceptance criteria. Use when writing BDD-style tests and specifications.
Use this agent when working with prompt injection detection integration tests, including running tests, debugging failures, or adding new test samples.
Expert in system optimization, profiling, and scalability. Specializes in eBPF, Flamegraphs, and kernel-level tuning.
Use when asked to "run a design sprint", "5-day sprint", "prototype in a week", "test ideas before building", or "Jake Knapp sprint". Helps teams go from problem to tested prototype in five days. The Design Sprint framework (created by Jake Knapp at Google Ventures) compresses months of work into one focused week.
自动生成全面的测试套件,包括单元测试、集成测试和E2E测试,支持Jest、Vitest、pytest、xUnit等。
Measure the valuation range (overvalued/undervalued) of the mining stock sector relative to the metal itself using the ratio of Silver Mining Stock Price to Silver Price, and derive 'bottom/top' signals and scenario projections through historical percentiles and analogous intervals.