Skill UI

This skill guides the end-to-end development, deployment, and secure integration of complex AI features into Firebase applications. It covers setting up Cloud Functions, Firestore/Storage rules, Authentication, and connecting robustly with Vertex AI/Gemini for advanced AI capabilities. Focuses on building production-grade, highly secure, data-intensive AI systems.

This guide details setting up automated Continuous Integration/Continuous Deployment (CI/CD) pipelines for Firecrawl scraping services. It covers configuring GitHub Actions, managing API keys, and implementing both mock unit tests and live integration tests. Use this when ensuring scraping behavior is validated automatically across pull requests and merges.

This guide provides comprehensive setup for implementing CI/CD pipelines for Fireflies.ai integrations. It covers best practices for validating GraphQL queries, running mock-based unit tests (using Vitest), and executing live integration tests against the actual API. It integrates seamlessly with GitHub Actions, ensuring that code changes are automatically validated in a stable, automated testing environment before deployment. Essential for maintaining API stability and robustness.

A comprehensive guide for deploying Fireflies.ai integrations into production environments. This skill covers setting up the GraphQL client, implementing secure webhook receivers with signature verification, and managing multi-platform deployments across Vercel, Docker, and Google Cloud Run. Ideal for integrating AI-powered meetings data into production services.

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.

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 a robust framework for implementing Role-Based Access Control (RBAC) when integrating with Gamma API in enterprise or multi-tenant environments. Since Gamma's API key is workspace-level, this solution enforces granular, per-user permissions (Guest, Viewer, Editor, Admin) at the application layer. Key components include authorization middleware, multi-tenant isolation logic, usage quota management, and detailed audit logging, ensuring system security and compliance in large-scale deployments.

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.

A comprehensive, step-by-step guide detailing how to safely upgrade Gamma SDK versions (supporting both Node.js and Python) and migrate between different API versions. It covers checking current versions, reviewing changelogs, handling breaking changes in code patterns, and implementing thorough testing procedures to ensure a smooth deployment.

Guides building production-ready serverless apps on GCP with Cloud Run services and Functions, covering containerized APIs, event-driven Pub/Sub workflows, cold-start tuning, and deployment automation.

Generates Helm charts for Kubernetes applications, handling requirements gathering, chart creation via plugins, and delivering ready-to-deploy configurations for new or updated deployments.

Generates production-ready Terraform, CloudFormation, Pulumi, ARM, or CDK templates via the infrastructure-as-code-generator plugin to automate cloud infrastructure deployment across AWS, Azure, and GCP from user specifications.