Search Skills

Collects and visualizes infrastructure performance metrics across compute, storage, network, containers, and databases using Prometheus, Datadog, and CloudWatch for monitoring and capacity planning.

Automates construction of scikit-learn pipelines for machine learning training, including data preprocessing and model integration.

Enables setup of monitoring, logging, tracing, and dashboards for Gamma API integrations to ensure system visibility and performance.

Plans and executes soak test operations for performance testing, enabling efficient test design and analysis in software development cycles.

Executes and compares AI models across multiple providers via OpenRouter, enabling provider-agnostic system development and model evaluation.

Automates creation of Optuna studies for machine learning hyperparameter optimization, streamlining model training workflows.

Automates dataset loader creation for machine learning training, streamlining data preparation workflows.

Auto-activating template for enterprise KPI dashboards, enabling seamless integration into business workflows for performance monitoring.

Configures Supabase for multi-environment deployments with environment-specific secrets and settings.

Automates creation of FastAPI router configurations for efficient backend API development and integration workflows.

Provides implementation for Vast.ai API rate limiting, backoff strategies, and idempotency to handle 429 errors and optimize request throughput.

Optimizes Linear API usage to reduce costs and manage rate limits effectively for business integrations.

Configures environment-specific settings for development, staging, and production deployments, including secret management for Instantly.

Generates structured migration guides for technical documentation, automating the process of documenting software or system transitions.

Automates scanning and assessment of systems for GDPR regulatory adherence, ensuring data protection compliance.

Creates and configures Windsurf Cascade agents for domain-specific AI tasks, enabling tailored agent behavior.

Enables function/tool calling with OpenRouter models for building AI agents and structured outputs, triggered by specific phrases.

Builds production Genkit applications with RAG systems, multi-step flows, and tool calling for Node.js, Python, and Go, deploying to Firebase or Cloud Run.

Sets up local development environment for Lindy AI agents with testing and hot reload capabilities.

Automates configuration management for Google Cloud Run services, enabling seamless deployment and scaling within GCP environments.

Executes pre-deployment checklist for Kling AI's video generation service to validate production readiness before launch.

Automatically generates k6 load testing scripts for performance validation in DevOps workflows. Activates on k6-related triggers.

Creates Mermaid-based state diagrams for visual content representation in documentation and design processes.

Intelligently routes AI model requests to optimize cost, speed, or quality based on request characteristics.