Skill UI

This skill provides expert analysis for production incidents and complex distributed systems debugging. It guides users through root-cause analysis (RCA), utilizing logs, traces, and error reports across the full application lifecycle. The goal is to identify systemic failures, propose robust fixes, and implement comprehensive observability solutions to significantly enhance overall system reliability and stability.

A comprehensive checklist for securely deploying and validating applications using Firecrawl's core APIs (scrape, crawl, map, extract) in a production environment. It covers critical areas including secure credential management, implementing crawl safety limits, robust error handling (rate limits, authentication failures), establishing monitoring alerts, and executing necessary rollback procedures.

A comprehensive skill guide for senior PostgreSQL administrators. It covers deep expertise in performance tuning using EXPLAIN ANALYZE, implementing advanced indexing strategies (GIN, GiST), setting up high availability via streaming or logical replication, and maintaining database health through VACUUM and pg_stat monitoring. Essential for optimizing complex, production-grade, and mission-critical database workloads.

Codified expertise for sequencing work orders, balancing discrete and batch lines, reducing changeover time, and shielding bottlenecks using FCS, DBR, and SMED so manufacturing meets commitments despite disruptions.

Manages environment variables and secret hygiene across local and production workflows, offering audit-ready scans, severity-based findings, rotation guidance, and CI-friendly outputs to keep credentials safe before commits or deployments.

Manages production-grade secret infrastructure, covering Vault clusters, cloud secret stores, auth methods, rotation, and audit patterns to harden DevOps pipelines and respond to leaks.

A comprehensive guide for diagnosing production performance issues in Qdrant vector databases. Learn how to systematically check the optimizer status, analyze high memory usage (OOM crashes), and troubleshoot slow query latencies using key metrics and dedicated API endpoints. Essential for maintaining optimal operational health.

This guide details securing the CAST AI integration across multiple layers. It covers best practices for API key management (including rotation and secrets storage), implementing least-privilege RBAC using 'kubectl', deploying the Kvisor security agent for runtime scanning, and setting up Kubernetes Network Policies to restrict egress traffic. Use this when hardening production clusters or performing security audits.

Provides a comprehensive reference architecture for deploying highly scalable, low-latency applications on Fly.io. It details best practices for multi-region web tiers, achieving high availability with Postgres read replicas, implementing Redis caching, managing background workers, and securing connectivity via private internal networking for robust production systems.

A comprehensive guide for deploying BambooHR integrations to a production environment. This checklist covers all critical stages, including pre-deployment authentication checks, API request quality assurance, data integrity validation, security compliance (PII redaction, webhook verification), robust monitoring setup, and detailed rollback procedures. It ensures a smooth and reliable go-live process.