Skill UI

A comprehensive guide for configuring and integrating the Cohere API v2 across development, staging, and production environments. This pattern ensures environment-specific settings—including API keys, model selections, token limits, and caching strategies—are correctly applied. It covers best practices for secure secret management using tools like Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring robust and scalable deployments.

This guide provides a deep dive into migrating machine learning workloads, including inference services and training pipelines, from major hyperscalers (AWS, GCP, Azure) to the CoreWeave GPU cloud. It covers cost comparisons, containerization, Kubernetes YAML adaptation, and a phased deployment strategy, helping users ensure a smooth, cost-effective, and optimized transition.

This guide details best practices for setting up and managing HubSpot integrations across development, staging, and production environments. It emphasizes the critical use of environment-specific access tokens, robust secret management (Vault, AWS/GCP SM), and implementing safety guards within CI/CD pipelines to ensure data integrity and prevent cross-environment deployment errors.

This guide provides a comprehensive strategy for configuring Klaviyo across development, staging, and production environments. It covers best practices for using separate API keys, implementing robust environment detection logic (like reading NODE_ENV), and utilizing secret management solutions (AWS/GCP/Vault). Crucially, it teaches how to implement 'guards' to prevent accidental real-world actions, such as sending live emails or deleting data, in non-production environments, ensuring data integrity and smooth CI/CD deployment.

This guide details how to securely configure Notion integrations for separate development, staging, and production environments. It emphasizes using environment-aware client factories, dedicated tokens, and integrating with robust secret managers (AWS Secrets Manager, GCP Secret Manager, HashiCorp Vault) to ensure strict data isolation and adhere to least-privilege principles across all deployment tiers.

This comprehensive guide provides a detailed methodology for detecting and exploiting Server-Side Request Forgery (SSRF) vulnerabilities. It covers basic, blind, and out-of-band techniques, including testing against cloud metadata endpoints (AWS/GCP/Azure) and advanced bypass methods like DNS rebinding. It is an essential resource for web application security testing and bug bounty hunting.

This skill provides a comprehensive guide for deploying Palantir Foundry integrated applications to major cloud platforms, such as GCP Cloud Run, AWS Lambda, and Docker. It covers best practices including containerization using Docker, implementing robust secrets management via cloud secret managers, establishing health check endpoints, and configuring environment-specific scopes. This process ensures applications are production-ready, secure, and highly available.

This advanced skill automates the entire lifecycle of cloud infrastructure deployment. Instead of manual documentation review, it researches current best practices across multi-cloud platforms (AWS, GCP, Azure), synthesizes a coherent deployment strategy, and generates production-grade Infrastructure as Code (IaC). It outputs comprehensive artifacts, including Terraform modules, Kubernetes manifests, CI/CD pipelines, monitoring setups, and cost estimates, ensuring secure and optimized deployment.

This guide provides a comprehensive workflow for configuring and managing Salesforce integrations across multiple environments, including Development, various Sandboxes (QA, Staging), and Production. It covers best practices for environment-specific credential handling, utilizing secrets managers (Vault, AWS/GCP), and establishing robust CI/CD deployment promotion flows using Salesforce CLI and code examples.

Configure secure and isolated Webflow integrations across development, staging, and production environments. This guide details how to manage separate API tokens, Site IDs, and secure secrets using industry-standard secret managers like HashiCorp Vault, AWS Secrets Manager, and GCP Secret Manager, ensuring data integrity and reliable deployment in a CI/CD pipeline.

Offensive cloud security methodology for AWS, Azure, and GCP. Covers identity discovery, credential harvesting, enumeration, privilege escalation, persistence, data exfiltration, lateral movement, serverless abuse, Kubernetes paths, and detection evasion during authorized assessments.

This comprehensive playbook details expert techniques for exploiting Server-Side Request Forgery (SSRF). It covers bypassing URL filters, accessing cloud metadata endpoints (AWS, GCP, Azure), utilizing advanced protocols like Gopher, and chaining vulnerabilities to achieve Remote Code Execution (RCE) in real-world scenarios. Ideal for penetration testers and security researchers.