Skill UI

Automates creation of A/B test configurations for ML deployment, guiding users through best practices, code samples, and validation steps so production models are served with monitoring and rollout control.

A comprehensive guide for deploying Apollo.io integrations to production environments. This skill covers robust deployment strategies across multiple cloud platforms, including Vercel, GCP Cloud Run, and Kubernetes. It emphasizes best practices such as implementing health check endpoints, managing secrets using dedicated secret managers, and structuring CI/CD pipelines for reliable, scalable, and secure production rollouts.

This SDK provides a comprehensive interface for managing application configuration within Azure App Configuration using Python. It enables centralized management of settings, allows controlling feature flags for gradual rollouts, and facilitates version control through configuration snapshots. It supports various authentication methods, including connection strings and Entra ID, making it ideal for robust, dynamic microservices deployment.

This SDK provides a comprehensive interface for managing application configuration within Azure App Configuration using Python. It enables centralized management of settings, allows controlling feature flags for gradual rollouts, and facilitates version control through configuration snapshots. It supports various authentication methods, including connection strings and Entra ID, making it ideal for robust, dynamic microservices deployment.

This skill guides the comprehensive, multi-step rollout of CodeRabbit AI code review across an entire organization. It covers setting organization-level defaults, customizing team-specific review rules (e.g., API security, frontend performance), and automating deployment via multi-repo scripts and branch protection enforcement. Use when establishing standardized, high-quality AI code review practices company-wide.

Provides practical advice on Dockerfiles, CI/CD pipelines, deployment strategies, infrastructure-as-code, and observability, helping teams containerize apps, configure GitHub Actions, plan production rollouts, and keep deployments secure and observable.

A comprehensive guide for migrating from Documenso's legacy v1 API (document-centric) to the modern, recommended v2 API (envelope-based). This resource covers SDK upgrades for TypeScript and Python, providing code migration examples, best practices for implementing feature flags for gradual rollout, and steps for self-hosted container version upgrades.

This comprehensive checklist guides teams through the entire process of deploying Granola in a production or enterprise environment. It covers critical phases including plan selection, security hardening (SSO, data retention), integration setup (Slack, Notion, CRM), pilot testing, and post-launch monitoring, ensuring a smooth and successful organizational rollout.

Automates LaunchDarkly feature flag, environment, segment, and rollout workflows through Composio's Rube MCP toolkit; discover schemas with `RUBE_SEARCH_TOOLS`, manage connections, and orchestrate multi-step operations safely.

A comprehensive guide for safely migrating monolithic or aging codebases. It details incremental modernization strategies, dependency mapping, and the implementation of the Strangler Fig pattern. Learn how to build safety nets using characterization tests, manage rollouts with feature flags, and achieve zero-downtime refactoring to reduce technical debt without business disruption.

This specialized skill provides a comprehensive framework for migrating applications using the MaintainX API across different versions (e.g., v1 to v2). It covers best practices for handling API breaking changes, deprecations, and version compatibility. Users can audit existing API usage, implement version adapters, and manage feature flag rollouts, ensuring smooth and safe integration upgrades.

Guides production-grade miles RL training for massive MoE models, covering FP8/INT4 low precision, train-inference alignment, and speculative rollout workflows to maximize throughput in enterprise deployments.