Skill UI

Structured runbook guiding triage, mitigation, and postmortem steps when Replit integrations fail; includes quick health checks, decision tree, remediation scripts, communication templates, and evidence collection for outages.

Enables comprehensive observability for Replit integrations by collecting deployment metrics, latency traces, health checks, and alerts, plus dashboards for uptime, resource usage, AI feature adoption, and cost control.

Defines a best-practice Replit deployment architecture with structured project layout, configuration files, database integration, health checks, and deployment guidance for building reliable Replit apps.

Handle Replit deployment and workspace notifications by validating webhook signatures, routing deployment or health events, and triggering post-deploy workflows or alerts for CI/CD pipelines.

Runs a predefined suite of smoke tests to verify key application functionality, authentication, integrations, and system health after deployments, upgrades, or configuration updates.

A comprehensive fullstack development toolkit designed to accelerate project setup and maintain code health. It provides project scaffolding for popular stacks (Next.js, FastAPI, MERN, Django), generating complete boilerplate code, Docker configurations, and environment templates. Furthermore, the Code Quality Analyzer audits existing codebases for critical security vulnerabilities, complexity metrics, and dependency issues, ensuring high standards throughout the development lifecycle. Ideal for new project initiation and routine code auditing.

Read-only assistant that inspects Sentry issues, summarizes recent production errors, and pulls health metrics via the Sentry API when users ask for error reports or recent crashes.

Integrates Sentry deployment and release tracking so build pipelines can create releases, upload source maps, associate commits, and push deployment notifications to monitor release health.

Guides building resilient Sentry integrations by outlining failure-aware init, retry/backoff, fallback logging, offline queues, circuit breakers, dual writers, and health checks so error tracking stays operational despite network or SDK issues.

Deploy Speak-powered language learning apps to Vercel, Fly.io, or Cloud Run, including platform-specific secrets setup, health-check endpoints, and environment configuration for production-ready audio infrastructure.

Guides configuring Speak across development, staging, and production by outlining environment-specific configs, secret management, feature flags, and health checks for reliable multi-environment deployments.

Set up comprehensive observability for Speak language learning integrations, including metrics, tracing, logging, alerts, and Grafana dashboards to ensure operational health.