frontend
Frontend coding conventions for Preact and Tailwind. Use for web UI components in cluster applications.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
303 skills found
Frontend coding conventions for Preact and Tailwind. Use for web UI components in cluster applications.
Enterprise-grade multi-agent swarm orchestration, event-driven workflow automation, and intelligent agent coordination for Claude Code.
Architectural guidance and pattern implementation for Java Spring Boot backends, covering REST API design, JPA, caching, async processing, and logging.
An automated visual note and flowchart generator. Converts text or keywords into styled diagrams, mind maps, and handwritten notes exported as images without requiring file-reading permissions.
Guide new contributors through the Chops development environment, including prerequisite checks, project generation via xcodegen, and architecture orientation.
Dynamic meta-router for managing and orchestrating multi-domain AI coding agent skills across plugins and projects.
Manage serverless messaging, task scheduling, and webhook verification with the official Upstash QStash JavaScript/TypeScript SDK.
Provides comprehensive network configuration, connectivity diagnostics, and system information for Linux environments, including interfaces, IP addresses, DNS, and active port monitoring.
Generate production-ready Cloudscape Design System React + TypeScript UI code, components, and scaffolds with accessibility, responsive patterns, and robust state handling.
Optimize agent context windows through KV-caching, observation masking, summarization-based compaction, and context partitioning to reduce costs and latency.
Essential guide to llmemory for document storage and search: installation, database setup with pgvector, document ingestion, hybrid/semantic retrieval, and building RAG systems with multi-tenant support.
Production-grade observability stack featuring Prometheus metrics, Grafana dashboarding, PromQL query language, alerting rules, and AI-powered anomaly detection for cloud-native applications.