Skill UI

A structured playbook for rapidly diagnosing and resolving production incidents related to Lokalise localization services. It guides users through essential quick diagnostics (API health, token validity, rate limits) and provides a decision tree for common failure modes, such as missing or stale translations, API outages, and upload failures, ensuring swift mitigation and postmortem readiness.

This comprehensive script suite provides a structured, multi-step audit for internationalization (i18n) integrations using Lokalise. It automates crucial checks, including verifying translation coverage across all required locales, detecting key synchronization issues (missing or orphaned keys) between the source code and the Translation Management System (TMS), and validating the format of localized files. Use this utility before any major production deployment or go-live phase to ensure localization readiness.

A comprehensive guide for deploying complex integrations to production cloud environments (GCP, Kubernetes). This skill covers best practices including creating multi-stage Dockerfiles, implementing robust health and readiness checks, and utilizing cloud tools like gcloud and kubectl for seamless, secure deployment with secret management.

Automates guidance for deploying machine learning models with quantization, covering tooling, best practices, and production readiness for inference, MLops, and monitoring tasks.

This skill guides the implementation of comprehensive, real-time monitoring for APIs. It covers collecting key metrics (latency, error rates, request rate), setting up health and readiness endpoints, building detailed Grafana dashboards, and implementing SLO-based alerting (following the RED method). Use this when you need to ensure API reliability, high availability, and performance in a production environment.

Captures and surfaces Whatsapp activity details so teams can monitor conversations, spot trends, and maintain compliance or support readiness.

This comprehensive checklist guides developers through the pre-release verification process for Obsidian community plugins. It covers critical technical areas such as validating manifest structure, ensuring clean production builds (e.g., removing sourcemaps), identifying potential memory leaks, and verifying cross-platform readiness, ensuring a high-quality user experience upon submission.

A comprehensive technical audit checklist designed to validate the production readiness of OpenRouter API integrations. It covers critical areas including security practices (e.g., secret management, key rotation), system reliability (e.g., fallbacks, retries, timeouts), and observability requirements (e.g., structured logging, cost tracking). Use this guide before launching or during major operational reviews to ensure robust, scalable, and compliant deployments.

A comprehensive checklist and guide for ensuring robust PostHog integration in a production environment. It covers crucial topics like SDK configuration hardening, implementing graceful degradation, setting up health check endpoints for monitoring, and handling serverless shutdown hooks to maximize reliability during deployment and operation.

Automates PyTorch training workflows by guiding data preparation, model configuration, hyperparameter tuning, and experiment tracking while following industry best practices for production readiness.

Automate Ramp corporate finance ops: query transactions, reimbursements, cards, and user data for accounting, expense reviews, and ERP sync readiness across departments.

Guides building, optimizing, and measuring customer referral and affiliate programs to turn users into acquisition engines, covering incentives, triggers, messaging tests, fraud controls, and launch readiness.