Browse skills

Securely authenticates with Binance API using provided credentials for data retrieval and trading operations.

Analyzes Rust code symbols from Actionbook projects to extract metadata for documentation generation and tooling.

This C# library enables seamless integration with the CCXT cryptocurrency exchange API for programmatic trading and data retrieval.

Analyzes team performance data to identify bottlenecks, suggest improvements, and optimize individual contributor effectiveness.

Generates sequential data like lists, code snippets, or steps following a defined linear pattern or progression.

Gracefully manages and provides actionable feedback on data validation errors during processing.

Databricks Dbsql — provides AI agent assistance for software development workflows.

Helps with API, database, Vercel as part of software development workflows workflows.

The Weather Fetcher retrieves current weather data for any location, providing instant insights and useful information.

Validates form data against predefined rules and schemas to ensure accuracy and completeness before submission.

Securely extracts data from websites requiring login credentials, bypassing access restrictions for authorized investigations.

Helps with data, security as part of implementing security and authentication workflows.

This skill lets you discover, launch, and manage Databricks applications directly from your workspace, boosting productivity and streamlining workflows.

Automatically identifies inconsistencies, errors, and anomalies within datasets to ensure data accuracy and reliability.

Automates repetitive Stata data cleaning tasks like handling missing values, outliers, and variable transformations for efficient analysis.

Resend Webhooks automatically retries failed webhook deliveries, ensuring reliable data updates and preventing missed events.

Arweave enables persistent data storage on the decentralized Arweave network, ensuring long-term content availability and immutability.

Extracts structured data from standard webpages using simple HTML parsing techniques.

Dynamically assemble reusable React components based on data inputs, simplifying complex UI creation and promoting modularity.

Quickly retrieve relevant information from your database using semantic vector search powered by ruvnet's agentdb.

Analyzes Actionbook M10 campaign performance data to identify trends and suggest optimization strategies for improved results.

Pydantic validates Python data structures against schemas, ensuring data integrity and simplifying API development.

Analyzes user workflows & data to suggest comprehensive UX improvements across all touchpoints, maximizing engagement.

Analyzes and optimizes resource utilization for improved system performance based on historical data and predictive modeling.