Skill UI

This skill provides a comprehensive solution for implementing observability for Customer.io integrations. It covers setting up Prometheus metrics (latency, request counts, bounces), structured JSON logging with PII redaction, and OpenTelemetry tracing. Use it when building robust, production-grade monitoring dashboards and alerting systems for Customer.io APIs.

This skill provides a comprehensive guide on implementing robust data governance patterns within Delta Lake, leveraging Unity Catalog. It covers essential compliance topics such as data classification tagging, handling GDPR 'right-to-deletion' requests for PII, and establishing automated data retention policies. Use this when designing secure, compliant, and auditable data pipelines in a data lake environment.

Collects comprehensive, sanitized debug evidence for Deepgram support and troubleshooting. This bundle gathers detailed system environment information (Node.js, Python), performs live API connectivity tests, analyzes audio file metadata using ffprobe, and logs request/response data. Essential for preparing detailed support tickets and reproducing bugs related to Deepgram integration.

Implements a comprehensive observability stack for Deepgram integrations. It utilizes Prometheus metrics for tracking request rates, latency, and costs, OpenTelemetry for distributed tracing, Pino for structured logging, and AlertManager rules for proactive alerting. Essential for production monitoring, dashboard setup, and performance analysis of Deepgram API usage.

Automates guidance when requesting design doc templates, covering patterns, best practices, and example triggers across API, user, and architecture docs to streamline technical documentation.

This skill provides comprehensive guidance on implementing distributed tracing using industry standards like OpenTelemetry and tools such as Jaeger/Tempo. It enables developers to monitor the end-to-end lifecycle of a request across multiple microservices. Use this skill to debug latency issues, visualize complex service dependencies, pinpoint performance bottlenecks, and accurately trace error propagation in highly distributed systems.

Automates Django view generation by guiding through best practices, producing production-ready code, and validating backend-focused outputs whenever users mention related keywords or request assistance.

Provides best practices for managing the entire document lifecycle within Documenso integrations. Covers secure PII handling, implementing automated data retention policies (e.g., deleting old drafts and archiving completed documents), and fulfilling GDPR data subject access and erasure requests. Essential for maintaining compliance and secure document storage.

This skill provides a comprehensive framework for implementing observability for Documenso integrations. It wraps API calls using proxies to track key metrics (request counts, latency, error rates) and sets up structured logging and health checks. Use this when setting up monitoring stacks (like Prometheus/Grafana) or debugging production issues, ensuring detailed operational metrics are available.

This skill provides patterns for building highly resilient applications that interact with external APIs. It covers crucial concepts like Exponential Backoff with Jitter, request queuing for bulk operations, and the Circuit Breaker pattern. Use this when your application needs to handle rate limit errors (429), transient network failures, or temporary service outages, ensuring reliable throughput and graceful degradation.

Guides dotenv manager tasks within DevOps basics, auto-activating on relevant requests, delivering best-practice workflows, production-ready configs, and validation advice.

Automates guidance for crafting ECS task definitions within AWS, offering best practices, validation, and production-ready examples whenever you invoke the ecs task definition creator or request related compute, storage, or networking advice.