Skill UI

Guides developers in crafting and refining fuzzing harnesses that parse random fuzzer input, validate data, and exercise targeted API paths to improve coverage and find reproducible bugs.

Automated assistance for http client setup, offering best-practice guidance, code samples, and validation when integrating APIs, webhooks, SDKs, and OAuth services.

Auto-activating skill provides guidance for HTTP method helper tasks, covering REST, GraphQL, OpenAPI, authentication, and API design patterns while producing production-ready code and validations.

Automates HubSpot CRM tasks through Rube MCP and the Composio toolkit, handling contacts, companies, deals, tickets, and custom property workflows without manual API juggling.

This guide provides expert patterns and code templates for integrating with the HubSpot CRM API. It covers secure authentication methods, including OAuth 2.0 for public apps and Private App Tokens for single-account use. Topics include CRUD operations on CRM objects, handling associations, webhooks, and batch processing. Implementation examples are provided for both Node.js and Python SDKs.

HuggingFace Accelerate adds distributed support to any PyTorch script with just four lines, providing a unified API for DDP, DeepSpeed, FSDP, and Megatron, plus automatic device placement, mixed precision, and simple launch/config commands for fast prototyping.

Automatically guides API developers through creating hypermedia link generators, covering REST, GraphQL, OpenAPI, authentication, and design patterns while producing validated code and configurations that follow best practices.

This comprehensive guide details how to set up robust CI/CD pipelines for projects integrating with Ideogram. It covers automated unit testing, optional integration tests using GitHub Secrets, and crucial prompt validation logic directly within GitHub Actions workflows, ensuring high code quality and reliable API interaction.

This comprehensive guide serves as a quick reference for diagnosing and resolving common Ideogram API errors and exceptions. It covers critical issues such as authentication failures (401), rate limiting (429), safety check failures (422), and incorrect parameter formats (400). Use this resource when debugging failed image generation requests or integrating Ideogram functionality into an application.

This workflow executes the primary Ideogram API calls for advanced text-to-image generation. Ideogram excels at rendering legible text within images, a crucial capability for creating realistic signs, menus, or branding elements. Use this for generating high-quality social media graphics, marketing banners, product mockups, and posters that require accurate and stylized typography combined with illustration.

This skill provides comprehensive methods to significantly reduce expenditure when using the Ideogram API for image generation. Techniques include implementing two-phase generation workflows (drafting with cheap models, finalizing with premium models), batching multiple images in a single API call, caching identical prompts, and setting up robust budget tracking alerts. Ideal for developers managing large-scale creative AI projects.

A comprehensive skill designed to manage, track, and persist image assets generated by Ideogram's API. This tool addresses the critical issue of expiring image URLs by implementing a complete lifecycle pipeline. It handles metadata tracking (prompt, seed, model, style, etc.), immediate downloading, and robust storage to both local filesystems and cloud solutions like S3. Features include asset persistence, generation history logging, and image reproduction using stored seed values.