Loading...
Loading...
Found 517 Skills
Implement health check endpoints for load balancers, Kubernetes, and monitoring. Covers liveness, readiness, and dependency checks.
Multi-stage fuzzy matching pipeline for entity reconciliation. PostgreSQL trigram pre-filter, salient overlap check, and multi-factor similarity scoring.
Manage concurrent background workers with scheduling, dependencies, health monitoring, and automatic disabling of failing workers.
Safe database migration strategies for zero-downtime deployments. Covers backward-compatible changes, data migrations, and rollback procedures.
Technical architect assistant that helps design robust, scalable, and maintainable backend/frontend architectures. Provides visual diagrams, pattern recommendations, API design guidance, and stack selection advice. Use when designing system architecture, choosing tech stacks, planning scalability, designing APIs, or creating architectural documentation. Covers microservices, monoliths, serverless, event-driven patterns, and modern frameworks like Next.js and Supabase.
Git troubleshooting techniques including recovering lost commits, fixing merge conflicts, resolving detached HEAD, and diagnosing repository issues. Use when user encounters git errors or needs to recover from mistakes.
Comprehensive SaaS architecture planner for Next.js and Supabase applications. Converts ideas into production-ready technical plans with database schemas, file structures, feature breakdowns, and week-by-week development roadmaps. Use when planning subscription-based applications, multi-tenant SaaS products, or building from idea to launch with Next.js and Supabase stack.
Generate structured data and schema markup for content. Triggers on "schema", "structured data", "JSON-LD", "markup", "rich snippets", "generate schema".
Mobile-first UI components including bottom navigation, bottom sheets, pull-to-refresh, and swipe actions. Touch-optimized with proper gesture handling.
Store failed jobs for replay or manual inspection. Track failure patterns, enable manual intervention, and prevent data loss from processing errors.
AI generation provenance and audit trail tracking. Records decision factors, data lineage, reasoning chains, confidence scoring, and cost tracking for AI-generated content.
Production-grade secure file upload pipeline with multi-stage validation, malware scanning (ClamAV), hash-based duplicate detection, and race condition protection using distributed locks.