Search Skills

Generates visual diagrams illustrating API flow and integration paths for documentation and design clarity.

Provides production-ready patterns for Fireflies.ai SDK integration in TypeScript and Python, ensuring best practices and consistent coding standards.

Executes Supabase migration strategies using strangler fig pattern for major version upgrades, re-platforming, and integration transitions.

Generates optimized Dockerfiles using AI-driven best practices for containerized applications, triggered by specific user phrases.

Automates handling of Linear API rate limits and quotas to prevent 429 errors and optimize API call patterns.

Provides implementation patterns for handling Supabase rate limits, including backoff and retry logic to optimize API request throughput.

Sets up a local development environment and testing workflow for Linear, enabling developers to configure and test integrations locally.

Automates gradient clipping during machine learning model training to prevent exploding gradients and stabilize training.

Provides reference architecture and best-practice project layout for Fireflies.ai integrations, ensuring scalable and maintainable application structure.

Configures comprehensive observability for Clay integrations, including metrics, traces, and alerting to monitor system health and performance.

Delivers a minimal Vast.ai API example for beginners to test setup, learn integration patterns, and start GPU instance management.

Automates deployment of machine learning models to Amazon SageMaker endpoints, enabling seamless production rollout of AI services.

Scans application code and database queries for SQL injection vulnerabilities, ensuring secure query patterns and input sanitization.

Auto-activates Lighthouse performance audits for frontend applications, delivering actionable insights to optimize web page speed and user experience.

Configures Google Cloud Memorystore for cloud infrastructure setup and management.

Automates generation of compliance reports for security standards including PCI DSS, HIPAA, and SOC 2.

Provides production-ready code patterns for Instantly SDK integrations in TypeScript and Python, aiding refactoring and team standardization.

Configures dashboard layout operations for data analytics, enabling efficient arrangement of visual elements in analytical interfaces.

Automates Kubernetes service deployment, scaling, and configuration management for streamlined infrastructure operations.

Provides GDPR-compliant management of Apollo.io contact data, including exports, retention, and PII handling.

Automates deployment of machine learning models and services on Vertex AI platform.

Automates transfer learning model adaptation, including fine-tuning and dataset-specific model adjustments.

Automates the setup of pre-commit hooks to enforce code quality and consistency in version control workflows.

Scans code and configuration files for data privacy vulnerabilities, identifying PII exposure and GDPR compliance issues.