Skill UI

This skill provides comprehensive guidance for the creation, organization, and management of Helm charts. It is essential for packaging, distributing, and deploying Kubernetes applications across various environments. Use it when implementing complex, templated, and reusable manifests for robust cloud-native deployments.

Automates HIPAA audit helper workflows within Security Advanced, offering guided best practices, production-ready configurations, and compliance validation for penetration testing and threat modeling scenarios.

Guides Claude Code plugin authors through creating event-driven hooks that validate tool usage, react to outcomes, and gate completion with prompt-based or command hooks, covering PreToolUse, PostToolUse, Stop, Session events, and session context loading.

Assists with auditing HTTP headers by generating best-practice guidance, production-ready configurations, and validations triggered when header security is mentioned.

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.

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.

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.

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 document provides production-grade patterns for integrating with the Ideogram API in TypeScript and Python. It addresses common challenges in API usage, including implementing singleton client management, robust exponential backoff retry logic for rate limiting, and strict response validation using libraries like Zod. Use this guide when building reliable, scalable applications that depend on external AI image generation services.