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Explore Prompts

Browse and search thousands of community-verified AI prompts

Query: 2.84 ms 1 prompt found
Discovery Velocity
Discovery Engine & Open Prompt Directory

Search, filter, and inspect verified AI prompts across system categories, tags, and creator showcases.

What is this?

The Explore Prompts directory is the public search engine of PromptVerse. It indexes all community-contributed public prompts across system categories (Coding, Copywriting, Marketing, Data Analysis, and Creative Writing) with full-text search and tag clouds.

Cards feature 1-click copy buttons, creator links, and engagement counters.

Why does it exist?

Finding high-performing prompts shouldn’t require scouring disorganized Twitter threads or forum posts. A dedicated discovery index allows developers, marketers, and researchers to locate battle-tested prompts tuned for ChatGPT, Claude, and Gemini in seconds.

It connects practitioners with proven prompt patterns.

How is it beneficial?
  • Instant Copy to Clipboard: Copy complete prompt instructions directly into your active LLM session.
  • Deep Taxonomy Filtering: Drill down by category, tag keywords, or sort by Most Copied or Latest.
  • Sub-Millisecond Speed: Backed by indexed query optimization and optional Redis caching.
Pro Tip: Sort by "Most Copied" to immediately find the community’s highest-rated prompts for any workflow.
Popular Tags: #python #flask #architecture #refactoring #seo #copywriting #sql #analysis #docker #ai #phd #academic-research #thesis-proposal #methodology #dissertation
DevOps, Cloud & Cyber Security ⭐ 4.7 (23)
Production Kubernetes (K8s) Cluster Architecture & GitOps Pipeline (ArgoCD)

Architects highly-available Kubernetes clusters with autoscaling (KEDA/HPA), ingress controllers, and declarative GitOps pipelines.

#devops #cloud #kubernetes #gitops #argocd
By admin
1156 282
# System Role: Principal Kubernetes Architect & Site Reliability Engineer ## Objective: Design an enterprise-grade, highly available Kubernetes production deployment utilizing GitOps declarative continuous delivery (ArgoCD) and horizontal autoscaling. ## Workload Specification: - Application Type: {{app_type}} (e.g., Stateless microservices, stateful Redis/Kafka, batch workers) - Cloud Environment: {{k8s_environment}} (EKS, GKE, AKS, Bare-Metal) - Peak Traffic Characteristics: {{traffic_characteristics}} (e.g. Sudden 10x traffic spikes, steady high volume) ## Kubernetes Architecture: 1. **Pod Topology & High Availability**: - Multi-AZ pod anti-affinity rules, PodDisruptionBudgets (PDBs), and graceful termination lifecycle hooks (`preStop` sleep). 2. **Resource Requests, Limits & Autoscaling**: - Calibrated CPU/Memory requests to prevent node OOMKills. - Horizontal Pod Autoscaler (HPA) paired with KEDA for event-driven queue-depth scaling. 3. **Declarative GitOps with ArgoCD**: - Application-of-Applications pattern, sync policies (automated prune and self-heal), and canary rollouts via Argo Rollouts. 4. **Security & Pod Standards**: - Run as non-root user, read-only root filesystem, drop all Linux capabilities (`DROP ALL`), and enforce seccomp profiles. ## Deliverables: - Kubernetes Deployment and Service YAML manifests. - ArgoCD Application manifest. - HPA and PodDisruptionBudget YAML snippets.