Skill UI

Provides automated guidance for ab test analyzer workflows, covering SQL queries, visualization, statistical analysis, and BI validation so teams can run reliable experiments within data analytics contexts.

Automates adapting pretrained models via transfer learning by analyzing requirements, generating PyTorch or TensorFlow fine-tuning code, validating data, tracking KPIs, and saving artifacts so you can quickly reuse existing models for new datasets and tasks.

An advanced AI-driven framework for holistic performance engineering of multi-agent systems. It provides coordinated profiling, workload distribution, and cost-aware orchestration across various domains (database, application, frontend). Use this tool to identify bottlenecks, improve throughput, enhance reliability, and manage resource constraints in complex agent workflows.

Auto-activating aggregation helper skill for data analytics, following best practices for SQL, visualization and BI workflows, guiding queries/configs, and validating outputs.

Automates the creation of Airflow DAGs for ETL and streaming data workflows, offering best-practice guidance, production-ready code samples, and validation against common pipeline standards.

A comprehensive guide to building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers best practices for operators, sensors, testing, deployment, and designing robust data pipelines. Use this when orchestrating complex workflows, managing ETL processes, or ensuring reliable batch job execution in a production environment.

Guides you through building Airflow operators for data pipelines with automated best practices, production-ready code/config generation, and validation for ETL, transformation, orchestration, and streaming scenarios.

A comprehensive guide detailing best practices for optimizing Angular applications. It covers critical topics like change detection strategies (OnPush, Signals), managing asynchronous data flows (avoiding waterfalls), optimizing bundle size via lazy loading and tree shaking, and improving rendering efficiency with modern features like @defer and trackBy. Use this when building, reviewing, or refactoring complex Angular components for peak performance.

Automate Apify web scraping Actors inside Claude Code to run crawlers synchronously or asynchronously, manage datasets, inspect logs, create reusable tasks, and pull structured results without leaving your workflow.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

This skill provides comprehensive methods for building event-driven integrations with Apollo.io. Since Apollo lacks native webhooks, it covers advanced techniques like polling the Contacts API, tracking contact stage changes, monitoring sequence engagement, and automating follow-up tasks. Ideal for achieving real-time CRM data synchronization and workflow automation.

Automates database archival workflows by identifying historical records in PostgreSQL or MySQL, applying retention policies, and migrating data to archive tables or cold storage (S3/Azure Blob/GCS) with compression and compliance tracking.