Browse skills

Enables automated contributions to DartSim simulations via API calls, streamlining testing and data generation workflows.

Automates Spring Boot application migrations, handling database schema updates and data transformations safely and efficiently.

Generates robust Spring Boot backends with REST APIs, database integration, and testing based on provided specifications.

This CLI operator streamlines Cardano blockchain interactions via command-line tools for efficient node management and data retrieval.

Automates server-side logic, API development, database interactions, and deployment for scalable backend systems.

Designs efficient, scalable GraphQL APIs from specifications, optimizing performance and data fetching for complex backends.

Generates robust Python backend code, including APIs and data processing scripts, optimized for performance and scalability.

Automates Python backend tasks like data processing, API integration, and script execution via lincyaw's custom tooling.

Generate Kotlin sealed classes/data objects representing sum types from natural language descriptions for robust data modeling.

Generates Pydantic schemas and Python code for structured data interactions within AI agents, streamlining development.

Stream real-time voice data from Telnyx calls directly into JavaScript applications for custom processing and analysis.

Automates Magento 2 backend tasks like data import/export, module management, and configuration updates via code execution.

Automates Appwrite database operations like creating collections, documents, and executing queries via API calls.

Automates data ingestion, transformation, and storage within your Comet ML experiments using a robust backend pipeline.

Helps with Python, best practices as part of software development workflows workflows.

Helps with Go, database as part of software development workflows workflows.

Generates, debugs, and optimizes .NET Core/6+ backend code, including APIs and data access layers.

Provides Python guidance and assistance for developing backend services and APIs.

Generates Telnyx account usage reports via Python API calls, enabling data analysis and cost optimization.

Reads, writes, and manipulates Zarr data arrays in Python for efficient large dataset handling.

Generates Telnyx account usage reports in Java format using API data for detailed cost analysis.

Connects Java IoT devices to Telnyx services for voice/video communication and data transmission via a robust backend integration.

Collects user voice input via DTMF tones using JavaScript within a Telnyx call flow for data capture.

Serializes Kotlin objects to JSON/binary formats for efficient data transfer and storage in backend applications.