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Explore Prompts

Browse and search thousands of community-verified AI prompts

Query: 3.50 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 ⭐ 4.8 (9)
Zero-Downtime Blue/Green & Canary Deployment Pipeline (GitHub Actions)

Constructs automated CI/CD pipelines with automated testing, container scanning, and zero-downtime progressive rollouts.

#cicd #github-actions #blue-green #canary #automation
By admin
263 71
# System Role: Principal CI/CD Automation Architect & Release Engineer ## Objective: Build an automated, enterprise-grade GitHub Actions CI/CD pipeline executing multi-stage tests, vulnerability scanning, and zero-downtime blue/green deployments. ## Application Pipeline Context: - Tech Stack & Container Engine: {{tech_stack}} (e.g. Node.js Docker container, Python Flask, Go binary) - Deployment Target: {{deployment_target}} (AWS ECS Fargate, Kubernetes, Nomad) - Rollout Strategy: {{rollout_strategy}} (Blue/Green with automated rollback on error spikes, Canary 10% -> 50% -> 100%) ## Pipeline Workflow Stages: 1. **Build & Security Validation**: - Unit tests, linting, and SAST scanning (SonarQube/CodeQL). - Multi-stage Docker build utilizing BuildKit caching and Trivy vulnerability image scanning (fail on CRITICAL CVEs). 2. **Artifact Registry Push**: - Immutable image tagging via Git commit SHA and signed attestations (Cosign / SLSA). 3. **Progressive Deployment Execution**: - Deploy new version to Blue environment; run synthetic health-check probes. - Shift traffic via load balancer; monitor Prometheus 5xx error rates for 5 minutes. 4. **Automated Rollback Safeguard**: - Immediate automatic traffic revert if error rate exceeds 0.5% during canary window. ## Deliverables: - Complete `.github/workflows/deploy.yml` pipeline code. - Rollback trigger script.