Skill UI

A comprehensive guide covering Internationalization (i18n) and Localization (L10n) best practices. It details how to build applications that can support multiple languages, regions, and text directions (RTL). Covers implementation patterns for React, Next.js, and Python, along with essential guidelines for handling date/number formats and managing translation keys.

Automates Google Cloud IAM binding tasks by guiding users through best practices, generating production-ready code and configs, and validating outputs across compute, storage, BigQuery, Vertex AI, Cloud Run, Firebase, and other GCP services whenever iam binding creator is mentioned.

Automates iam policy creation for AWS Skills, activating when you mention the trigger, guiding best practices, generating production-ready configs, and validating outputs for compute, storage, networking, and serverless scenarios.

Automates IAM policy reviewer workflows within the Security Advanced domain, providing guided best practices, production-ready configurations, and validation so teams can handle compliance and threat modeling requests with confidence.

Automates AWS IAM role generation by guiding requests, applying best practices, and producing production-ready code/configs with validation for compute, storage, networking, and serverless workloads.

Automates Icims Talent Cloud tasks through Composio's toolkit using Rube MCP, guiding you to search live tools, manage connections, and execute schema-aware RUBE commands for every workflow.

Guides automating Icypeas operations through Composio’s toolkit via the Rube MCP interface, covering discovery, connection checks, execution patterns, and schema compliance for reliable workflows.

Automates Idea Scale operations through Composio's toolkit via the Rube MCP interface, guiding users to discover current tool schemas, manage Idea Scale connections, and execute workflows with schema-compliant payloads.

Automates Identitycheck operations through Composio’s Identitycheck toolkit via Rube MCP, covering connection setup, tool discovery, workflow execution, and schema compliance so each run stays aligned with live tool definitions.

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.

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.