全部能力

Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.

Implement comprehensive frontend testing using Jest, Vitest, React Testing Library, and Cypress. Use when building robust test suites for UI and integration tests.

Expert guidance for Microsoft Dynamics 365 Business Central development using AL language and extensions

Vercel deployment and CI/CD expert guidance. Use when deploying, promoting, rolling back, inspecting deployments, building with --prebuilt, or configuring CI…

React best-practices reviewer for TSX files. Triggers after editing multiple TSX components to run a condensed quality checklist covering component structure,…

Expert guidance for Spring Boot application development with best practices for RESTful APIs, testing, security, and deployment

Generate a post-earnings analysis for any stock using Yahoo Finance data. Use when the user wants to review what happened after earnings, understand beat/miss results, see stock reaction, or get an earnings recap. Triggers: "AAPL earnings recap", "how did TSLA earnings go", "MSFT earnings results", "did NVDA beat earnings", "post-earnings analysis", "earnings surprise", "what happened with GOOGL earnings", "earnings reaction", "stock moved after earnings", "EPS beat or miss", "revenue beat or miss", "quarterly results for", "how were earnings", "AMZN reported last night", "earnings call recap", or any request about a company's recent earnings outcome. Use this skill when the user references a past earnings event, even if they just say "AAPL reported" or "how did they do".

精通现代 Angular（v20+），深入掌握 Signals、Standalone Components、无 Zone 应用、SSR/Hydration 及响应式模式。

Executes implementation tasks through Todo, In Progress, To Review. Use when task needs coding with KISS/YAGNI. Not for test tasks.

Generates GitHub Actions CI workflow configuration. Use when adding continuous integration to a project.

Configures health check endpoints for Kubernetes readiness/liveness/startup probes. Use when deploying to Kubernetes.

Deep-dive into analyst estimates and revision trends for any stock using Yahoo Finance data. Use when the user wants to understand analyst estimate direction, how EPS or revenue forecasts changed over time, compare estimate distributions, or analyze growth projections across periods. Triggers: "estimate analysis for AAPL", "analyst estimate trends for NVDA", "EPS revisions for TSLA", "how have estimates changed for MSFT", "estimate revisions", "EPS trend", "revenue estimates", "consensus changes", "analyst estimates", "estimate distribution", "growth estimates for", "estimate momentum", "revision trend", "forward estimates", "next quarter estimates", "annual estimates", "estimate spread", "bull vs bear estimates", "estimate range", or any request about tracking or comparing analyst estimates/revisions. Use this skill when the user asks about estimates beyond a simple lookup — if they want context, trends, or analysis, this is the right skill.

Creates infrastructure.md and runbook.md (Docker-conditional). Use for DevOps documentation in any project.

Use when working with context management context restore

AI-powered browser extension that filters unwanted posts from Twitter/X feeds using natural language rules and multiple AI backends

Detection-focused review of .NET test code for anti-patterns that undermine reliability and diagnostic value. USE FOR: audit test quality, review test code, find test anti-patterns, tests pass but don't verify anything, flaky tests, ordering dependency, duplicate tests, magic values, missing/no assertions, swallowed exceptions, always-true assertions, over-mocking, test coupling, coverage touching, coverage inflation. DO NOT USE FOR: writing new tests (use writing-mstest-tests), direct MSTest API rewrites or implementation-only fixes such as swapped Assert.AreEqual argument order, running tests (use run-tests), migrating between frameworks (use migration skills), deep formal audit based on academic test smell taxonomy (use test-smell-detection).

Configures CORS policy for development and production environments. Use when setting up cross-origin access for APIs.

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

Creates backend docs (api_spec.md, database_schema.md). Use when project has backend API or database.

Performs manual testing of Story AC via executable bash scripts in tests/manual/. Use when Story implementation needs hands-on AC verification.