Search Skills

Evaluates machine learning model performance using key metrics including accuracy, precision, recall, and F1-score.

Enables automated task execution and agent scheduling via trigger-based workflows for efficient system operations.

Automates PyTorch model training workflows, handling data preparation and execution for machine learning tasks.

Configures CI/CD pipelines for Deepgram integrations to automate testing and deployment workflows.

Automatically generates API response schemas to streamline backend development and enforce consistent data structures.

Generates end-to-end tests for web applications using Playwright, Cypress, or Selenium to validate user workflows and multi-step processes.

Executes FireCrawl incident response procedures including triage, mitigation, and postmortem for outages and integration failures.

Configures local development environment with hot reload and testing for efficient coding and iteration cycles using Instantly.

Automates deployment of Amazon SageMaker endpoints for machine learning models, streamlining ML service delivery.

Automates GraphQL subscription setup for real-time API communication in backend development.

Configures Google Cloud Pub/Sub subscription settings for messaging infrastructure. Enables seamless integration and management of event-driven systems.

Automates overnight software development by enforcing Test-Driven Development (TDD) via Git hooks, blocking commits until tests pass for production-ready code.

Automates calculation of user retention metrics from analytics data, enabling data-driven business decisions.

Provides implementation patterns for fault-tolerant Retell AI integrations, including circuit breakers, idempotency, and graceful degradation.

Optimizes GPU resource allocation for machine learning deployment, enhancing efficiency and reducing costs in AI model training and inference.

Creates a minimal working example for Supabase integration, ideal for quick setup, testing, and learning basic API patterns.

Generates secure, production-ready Ansible playbooks for automating server configurations, deployments, and infrastructure management.

Automates API development by providing context-aware HTTP method suggestions and handling for common RESTful operations.

Automates hyperparameter tuning for machine learning model training, optimizing model performance through systematic parameter exploration.

Automates creation of concise executive summaries from business documents for leadership decision-making.

Automatically generates Makefiles to streamline build automation and dependency management in DevOps workflows.

Generates AI-powered presentations from prompts, documents, or structured content using Gamma's core workflow.

Automates splitting datasets into training, validation, and test sets for machine learning model development.

Automates configuration of Pinia stores for Vue.js state management, streamlining frontend application development workflows.