Execute Databricks secondary workflow: MLflow model training and deployment. Use when building ML pipelines, training models, or deploying to production. Trigger with phrases like "databricks ML", "mlflow training", "databricks model", "feature store", "model registry".

Deploy Customer.io integrations to production cloud platforms. Use when deploying to Cloud Run, Vercel, AWS Lambda, or Kubernetes with proper secrets management and health checks. Trigger: "deploy customer.io", "customer.io cloud run", "customer.io kubernetes", "customer.io lambda", "customer.io vercel".

Monitor CodeRabbit review effectiveness with metrics, dashboards, and alerts. Use when tracking review coverage, measuring comment acceptance rates, or building dashboards for CodeRabbit adoption across your organization. Trigger with phrases like "coderabbit monitoring", "coderabbit metrics", "coderabbit observability", "monitor coderabbit", "coderabbit alerts", "coderabbit dashboard".

Understand and manage Clerk rate limits and quotas. Use when hitting rate limits, optimizing API usage, or planning for high-traffic scenarios. Trigger with phrases like "clerk rate limit", "clerk quota", "clerk API limits", "clerk throttling".

Optimize Clerk authentication performance. Use when improving auth response times, reducing latency, or optimizing Clerk SDK usage. Trigger with phrases like "clerk performance", "clerk optimization", "clerk slow", "clerk latency", "optimize clerk".

Configure Clerk for deployment on various platforms. Use when deploying to Vercel, Netlify, Railway, or other platforms, or when setting up production environment. Trigger with phrases like "deploy clerk", "clerk Vercel", "clerk Netlify", "clerk production deploy", "clerk Railway".

Implement credit spending limits, data privacy enforcement, and input validation guardrails for Clay pipelines. Use when enforcing spending caps, blocking PII enrichment, or adding pre-enrichment validation rules. Trigger with phrases like "clay policy", "clay guardrails", "clay spending limit", "clay data privacy rules", "clay validation", "clay controls".

Collect Clay debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Clay integration problems. Trigger with phrases like "clay debug", "clay support bundle", "collect clay logs", "clay diagnostic", "clay support ticket".

Set up Apollo.io monitoring and observability. Use when implementing logging, metrics, tracing, and alerting for Apollo integrations. Trigger with phrases like "apollo monitoring", "apollo metrics", "apollo observability", "apollo logging", "apollo alerts".

Configure Apollo.io multi-environment setup. Use when setting up development, staging, and production environments, or managing multiple Apollo configurations. Trigger with phrases like "apollo environments", "apollo staging", "apollo dev prod", "apollo multi-tenant", "apollo env config".

Deploy Apollo.io integrations to production. Use when deploying Apollo integrations, configuring production environments, or setting up deployment pipelines. Trigger with phrases like "deploy apollo", "apollo production deploy", "apollo deployment pipeline", "apollo to production".

Retrieve up-to-date documentation for software libraries, frameworks, and components via the Context7 API. This skill should be used when looking up documentation for any programming library or framework, finding code examples for specific APIs or features, verifying correct usage of library functions, or obtaining current information about library APIs that may have changed since training.

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like check CI status, create PR, list issues, or query the GitHub API.

Generate a complete set of favicons from a source image and update HTML. Use when setting up favicons for a web project.

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

Creates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.

Automate changelog generation from commits, PRs, and releases following Keep a Changelog format. Use when setting up release workflows, generating release notes, or standardizing commit conventions.

Conduct WCAG 2.2 accessibility audits with automated testing, manual verification, and remediation guidance. Use when auditing websites for accessibility, fixing WCAG violations, or implementing accessible design patterns.

Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries. Use when the user asks about GitHub issues, pull requests, workflows, or wants to interact with GitHub repositories from the command line — including tasks like check CI status, create PR, list issues, or query the GitHub API.

使用JUnit 5、Mockito、MockMvc、Testcontainers和JaCoCo进行Spring Boot的测试驱动开发。适用于添加功能、修复错误或重构时。