Skill UI

Auto-activating skill that guides analysts through forensics data collector operations, aligning advanced security practices with compliance frameworks while generating validated code and configurations for enterprise deployments.

Fuzzing Dictionary supplies domain-specific tokens to guide fuzzers when targeting parsers, protocols, configs, or file formats so they reach deeper logic; include magic bytes, headers, keywords, and combine generation from LLMs, headers, or binaries before passing via the fuzzer flag.

This guide details how to configure Continuous Integration/Continuous Deployment (CI/CD) pipelines for Gamma-powered applications using GitHub Actions. It covers setting up automated unit testing, running specialized Gamma API integration tests, and ensuring the application quality throughout the build process. Ideal for developers setting up robust, automated testing workflows.

This skill provides comprehensive automation for content workflows using the Gamma API. It allows users to generate multiple variations from a single template, support batch processing, and specify export formats (PDF, PPTX, PNG). Furthermore, it handles the retrieval of final exported files and configures detailed sharing permissions, making it ideal for structured, large-scale content distribution.

A comprehensive guide for deploying applications, especially those integrated with AI services like Gamma, to major cloud environments including Vercel, AWS, GCP, and GitHub. Covers best practices for secret management, environment variable configuration, and setting up CI/CD pipelines across various cloud architectures.

This comprehensive guide provides step-by-step instructions for setting up and authenticating with the Gamma Generate API v1.0. It covers generating the required API key, configuring environment variables, and executing initial connection tests using `curl` or code snippets in Node.js and Python. Essential for developers integrating Gamma's content generation capabilities into their applications.

A comprehensive guide for configuring API access across distinct environments (Development, Staging, Production) for SaaS services. It details architectural patterns for separating workspaces, managing environment-specific secrets (e.g., using AWS Secrets Manager), and implementing environment guards to ensure code behaves correctly and securely in different stages of deployment. Ideal for CI/CD pipeline setup and robust client-side configuration.

Automates GC log analyzer workflows for performance testing by guiding load, stress, benchmarking, and monitoring efforts with best-practice advice and ready-to-use configurations.

Guides GCP users through GCS bucket configuration, offering best practices, configuration patterns, and production-ready snippets whenever someone asks about storage setup within Google Cloud.

Provides automated guidance for Google Cloud Storage lifecycle policy scenarios, including pattern recommendations, production-ready configurations, and best practices for compute, storage, BigQuery, Vertex AI, and other GCP-specific services.

Generates realistic database seed data and scripts for development or testing, leveraging Faker libraries to respect schema constraints, maintain relationships, and allow configurable volumes for quick population of demo or test environments.

Generates production-ready Docker Compose configurations for multi-container apps by defining services, networks, volumes, health checks, and resource limits based on user architecture input.