Browse skills

Databricks Zerobus Ingest — provides AI agent assistance for software development workflows.

Helps with PDF, code generation as part of software development workflows workflows.

Provides data guidance and assistance for software development workflows.

Provides data guidance and assistance for software development workflows.

Provides data guidance and assistance for software development workflows.

Provides security guidance and assistance for software development workflows.

This skill automates Godot project saving and loading of entire systems, streamlining workflow & preventing data loss during development.

Automatically retrieves and integrates metadata from Fumadocs registry entries to enrich project documentation and workflows.

Biome Linting analyzes your biome descriptions for consistency and accuracy, ensuring clear and reliable data.

Automatically generates realistic synthetic data to augment datasets and improve model training accuracy.

Automates TanStack Router v1 to v2 migration, minimizing disruption and ensuring seamless application updates.

Helps with database, migration as part of working with databases and data persistence workflows.

This skill allows you to interact with web pages directly – navigate, extract data, and more – boosting automation and scraping capabilities.

Helps with Supabase, PostgreSQL, best practices as part of working with databases and data persistence workflows.

Provides data guidance and assistance for software development workflows.

Collects data from specified UI elements across websites to inform decisions or automate actions.

Golden Dataset generates high-quality, diverse synthetic data for training AI models, boosting performance and reducing bias issues.

Automates complex web research tasks, gathering data from multiple sources and organizing findings into structured reports.

Generates basic Python code snippets for data manipulation, calculations, and simple automation tasks.

Automatically generates optimized frontend network requests based on user interactions and data dependencies.

Designs optimal clinical trial data schemas ensuring accuracy, compliance, and efficient analysis based on provided protocols.

Analyzes system performance data to identify bottlenecks and suggest optimizations based on established benchmarks.

This skill enables real-time data transformation and analysis using Kafka Streams, useful for building reactive applications and streaming pipelines.

Pandas enables data manipulation and analysis using Python’s DataFrame object, streamlining data processing tasks for efficient insights.