Skill UI

This guide details the best practices for configuring and isolating AI agents across development, staging, and production environments. It covers the setup of separate workspaces, secure secret management using tools like Vault/AWS/GCP, and integrating environment-aware logic into CI/CD pipelines to ensure data integrity and smooth promotion from dev to prod.

A robust pattern for configuring API clients to interact with Linear across multiple isolated environments (Development, Staging, Production). This setup ensures that environment-specific credentials (API keys, webhooks) are securely loaded from secret managers (Vault, AWS, GCP) and implements environment guards to prevent accidental operations in the wrong environment. Ideal for professional CI/CD pipelines.

A comprehensive guide for configuring localization services (Lokalise) across multiple deployment environments (development, staging, production). It details two strategies: dedicated projects or single-project branching. Focuses heavily on secure secret management using tools like AWS Secrets Manager, GCP Secret Manager, and HashiCorp Vault, ensuring that environment-specific configurations and translations remain isolated throughout the CI/CD pipeline.

Loki Mode is a multi-agent autonomous startup system that progresses PRD to production with zero human intervention, orchestrating research-enhanced components such as OpenAI SDK, DeepMind, Anthropic, AWS Bedrock, and agent tooling while enforcing RARV reasoning and efficiency tracking.

Helps manage container registries like AWS ECR, Google GCR, and Harbor by generating configuration code, guiding access controls, and advising best practices for secure, production-ready image storage and deployment automation.

This guide provides comprehensive instructions for installing and configuring the official Mistral AI SDK (for both Python and Node.js). It covers setting up API keys via environment variables, verifying the connection, and implementing secure credential storage using Secret Managers (GCP/AWS) for production environments. Ideal for starting any new Mistral AI project.

This skill provides a comprehensive framework for configuring Mistral AI across distinct environments (development, staging, and production). It manages environment-specific secrets (using GCP, AWS, or Vault), defines critical parameters like default models, rate limits, and feature flags, ensuring secure, isolated, and reliable deployments for AI services in multi-stage pipelines.

This comprehensive guide covers the entire MLOps lifecycle, specializing in building robust, scalable, and production-grade Machine Learning systems. Expertise includes orchestrating complex ML pipelines using Kubeflow, Airflow, Prefect, and cloud-native services (AWS SageMaker, Azure ML, GCP Vertex AI). It covers experiment tracking (MLflow, W&B), model versioning, model registries, infrastructure as code (Terraform), and container deployment using Kubernetes. Ideal for engineers tasked with moving ML models from research to reliable, managed production environments.

This skill provides a comprehensive decision framework and set of patterns for architects designing cloud-agnostic applications across major providers like AWS, Azure, and GCP. It details service comparisons (Compute, Storage, DB), multi-cloud patterns (e.g., Best-of-Breed, DR), cost optimization strategies, and structured migration plans, ensuring robust and resilient enterprise deployments.

This comprehensive skill profile models an expert network engineer specializing in modern cloud networking, security architectures, and performance optimization. It covers multi-cloud environments (AWS, Azure, GCP), advanced concepts like Zero Trust, Service Mesh (Istio), and high-availability design. Key capabilities include implementing IaC (Terraform), load balancing, DNS management, and deep network troubleshooting. Ideal for complex DevOps, SRE, or infrastructure design roles.

Enables Claude to act as a FinOps expert by analyzing cloud usage, generating cost reports, and recommending configuration changes to lower AWS, Azure, or GCP spending whenever the user asks to optimize cloud costs.

Enables Claude to run a security-focused code review via the security-agent plugin, flagging SQL injection, XSS, authentication flaws, and unsafe dependencies with severity, location, impact, and remediation guidance for requested audits.