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.

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.

Learn best practices for building production-ready Apache Airflow Directed Acyclic Graphs (DAGs). This skill covers comprehensive patterns for designing DAG structures, implementing custom operators/sensors, ensuring idempotency, and setting up robust testing and deployment strategies for data pipeline orchestration and workflow management.

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.

Implements the Apollo.io core workflow to search for leads, enrich contact and company data, and assemble scored pipelines for B2B sales intelligence projects.

Implements Apollo.io contact data governance, helping enforce GDPR, manage retention, exports, and encryption workflows when integrating Apollo data pipelines.

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.

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.