Skill UI

This skill provides a minimal working example for integrating with the Apollo.io API. It demonstrates the three core operations: searching for people, enriching individual contacts (to get emails/phones), and enriching entire organizations. It is ideal for developers starting a new Apollo integration, testing API setup, or learning basic data enrichment patterns.

Specializing in building high-performance, cloud-native applications using C# and the latest .NET 8+ framework. This skill covers end-to-end development, including building robust RESTful APIs (Minimal/Controller), implementing data access with Entity Framework Core, structuring code using CQRS/MediatR, and scaffolding Blazor components. Focuses on modern best practices like async/await, DTO mapping, and proper error handling.

A comprehensive guide to setting up a minimal working example on Databricks. This skill covers creating a development cluster, uploading and executing notebooks (Python SDK), running tasks as jobs, and setting up a Serverless SQL Warehouse. It is ideal for new users or initializing a basic data engineering project.

This guide provides minimal working examples for Deepgram speech-to-text transcription. It demonstrates how to transcribe audio from a URL or a local file using both TypeScript and Python. Users can learn basic API patterns, implement advanced features like diarization (speaker identification), and compare various model options (e.g., nova-3, nova-2). Ideal for initial integration and testing.

This resource provides a minimal working example for implementing a complete digital document signing workflow using the Documenso SDK. It comprehensively guides users through creating a document, uploading a PDF file, adding designated recipients, placing specific signature fields, and finally triggering the signing process via code examples (TypeScript, Python) or REST API calls. Use this when integrating document signing into new applications or testing core document management capabilities.

This skill specializes in building robust, scalable, and cloud-native backend microservices using the latest .NET 8 and C# 12 features. It masters modern architectural patterns, including Clean Architecture, CQRS with MediatR, and minimal APIs. Expertise covers secure authentication (JWT), data persistence with Entity Framework Core, asynchronous programming best practices, and comprehensive unit/integration testing, ensuring highly maintainable and performant code.

A comprehensive guide providing a minimal working example for integrating with the Evernote Cloud API. It covers basic note creation, demonstrates the required ENML (Evernote Markup Language) format, and teaches core operations like listing notebooks and retrieving note details. Ideal for developers starting a new integration or testing API setup.

A comprehensive guide containing minimal working examples for all core Exa search operations. It demonstrates basic metadata search, deep content extraction (text, highlights, summary), finding semantically similar pages, and retrieving content for specified URLs. Ideal for developers starting a new Exa integration or learning advanced RAG patterns.

Provides minimal working examples and comprehensive instructions for querying the Fireflies.ai GraphQL API. Users can learn how to list workspace users, fetch recent meeting transcripts, and retrieve detailed summaries, including action items and keywords, using code examples in TypeScript, Python, and Bash. Ideal for initial API setup, integration testing, or learning GraphQL patterns for meeting data.

This minimal working example demonstrates core API interactions with Instantly.ai v2. It shows how to list active campaigns, check email account health/vitals, and pull detailed campaign analytics (open rate, reply rate). Ideal for developers setting up new integrations or testing API setup.

A comprehensive runbook detailing incident response procedures for failures within the Juicebox AI platform. It guides technical users through diagnosing and resolving critical issues such as API outages, data corruption, quota exhaustion, and export failures, ensuring minimal downtime for recruiting and talent intelligence workflows.

A comprehensive guide for developers on utilizing the Kling AI Text-to-Video REST API. This skill provides minimal working examples in Python and Node.js, demonstrating the complete workflow: submitting a text prompt, polling the task status, and retrieving the final generated video URL. Ideal for integrating advanced AI video generation capabilities into development projects.