Search Skills

Provides production-ready SDK patterns for TypeScript and Python to implement PostHog integrations and establish team coding standards.

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

Enforces GDPR and CCPA compliance for FireCrawl data handling, including PII redaction and retention policies.

Generates Excel formulas automatically for business data tasks, enhancing spreadsheet efficiency and reducing manual errors.

Automates calculation and presentation of key machine learning model evaluation metrics during training cycles.

Configures monitoring, logging, metrics, and tracing for Juicebox integrations to enhance system observability and operational insights.

Prevents common OpenRouter API anti-patterns during code reviews and developer onboarding.

Manages advanced Cursor Composer techniques for complex code edits, including multi-file generation and refactoring within the Cursor AI code editor.

Generates production-ready load balancer configurations for ALB, NLB, Nginx, and HAProxy based on user requirements.

Generates flame graphs to visualize performance bottlenecks in code execution for profiling analysis.

Diagnoses and resolves common errors and exceptions encountered when using the LangChain framework for LLM applications.

Executes Ideogram's secondary workflow (Core Workflow B) to handle secondary use cases and complement primary workflows.

Automates deployment of FireCrawl-powered applications to Vercel, Fly.io, and Cloud Run with platform-specific configuration.

Optimizes token usage and context window efficiency for AI model interactions, reducing costs and avoiding context limits.

Analyzes application performance metrics to identify and resolve bottlenecks in CPU, memory, I/O, and database usage.

Generates production-ready load balancer configurations for ALB, NLB, Nginx, and HAProxy with health checks, SSL termination, and traffic rules.

Automates real-time data pipeline processing using Kafka stream processing for efficient data transformation.

Optimizes deep learning models with Adam, SGD, and learning rate scheduling to enhance accuracy and reduce training time.

Generates mock API endpoints and responses for rapid development and testing of API integrations.

Automates deployment of machine learning models and services on Microsoft Azure Machine Learning platform.

Assists developers in analyzing, planning, and executing Groq SDK upgrades while detecting breaking changes and deprecations.

Automatically creates network topology diagrams from user input, providing clear visual representations of network structures.

Performs automated accessibility audits for web applications, checking WCAG 2.1/2.2 compliance, ARIA attributes, keyboard navigation, and screen reader compatibility.

Detects memory leaks by identifying issues like unremoved event listeners and closures, then provides actionable fix recommendations for improved performance.