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By sgaunet
Delegate DevOps workflows to specialist agents that provision infrastructure via Terraform, Ansible, and Kubernetes on AWS/GCP, automate CI/CD pipelines with GitHub Actions and GitLab CI, design database schemas, and tune PostgreSQL/MySQL performance with optimization recommendations.
npx claudepluginhub sgaunet/claude-plugins --plugin devops-infrastructureAWS cloud architecture expert for infrastructure design, cost optimization, and Well-Architected Framework. Use PROACTIVELY for AWS-specific tasks.
CI/CD expert for GitHub Actions, GitLab CI, and Forgejo. Use for pipeline creation, testing workflows, and release automation.
Database expert for schema design, query optimization, and performance tuning. Use for database design and scaling issues.
Infrastructure as Code expert for Terraform, Ansible, and cloud automation. Use for infrastructure provisioning and configuration management.
PostgreSQL database expert for schema design, query optimization, and performance tuning. Use PROACTIVELY for PostgreSQL-specific tasks.
Uses power tools
Uses Bash, Write, or Edit tools
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Agents for cloud infrastructure, DevOps, and database operations
Use this agent when setting up CI/CD pipelines, configuring Docker containers, deploying applications to cloud platforms, setting up Kubernetes clusters, implementing infrastructure as code, or automating deployment workflows. Examples: <example>Context: User is setting up a new project and needs deployment automation. user: "I've built a FastAPI application and need to deploy it to production with proper CI/CD" assistant: "I'll use the deployment-engineer agent to set up a complete deployment pipeline with Docker, GitHub Actions, and production-ready configurations."</example> <example>Context: User mentions containerization or deployment issues. user: "Our deployment process is manual and error-prone. We need to automate it." assistant: "Let me use the deployment-engineer agent to design an automated CI/CD pipeline that eliminates manual steps and ensures reliable deployments."</example>
Code review, debugging, documentation, license compliance (AGPL/MIT/Apache), payment integration (Stripe/PayPal), and frontend development (HTMX/Alpine.js) workflows. MCP: context7
Deployment engineering with Terraform and infrastructure as code
DevOps, cloud, and deployment specialists - Kubernetes, Terraform, AWS, Azure, GCP, and SRE
Enhances web_search Skill by researching best practices and deploying infrastructure automatically
Code review, debugging, documentation, license compliance (AGPL/MIT/Apache), payment integration (Stripe/PayPal), and frontend development (HTMX/Alpine.js) workflows. MCP: context7
Master Go 1.25+ development with modern patterns, advanced concurrency, performance optimization, and production-ready microservices. Skills: golangci-lint, goreleaser, go-tool (Go 1.24+ tool dependencies), go-blackbox (black box test enforcement), go-structure (project layout), GitHub Actions, GitLab CI. MCP: context7
A curated collection of specialized Claude Code plugins designed to enhance your development workflow with intelligent agents, skills, and commands.
Official claude code marketplace: https://github.com/anthropics/claude-code
This marketplace provides three comprehensive plugin collections:
Each plugin includes proactive agents that automatically assist with their specialized domains, plus skills and commands to streamline common development tasks.
/plugin marketplace add sgaunet/claude-plugins
For local development, you can also link a local folder:
git clone git@github.com:sgaunet/claude-plugins.git
claude
within claude:
/plugin marketplace add ./claude-plugins
/plugin
These plugins use gh and glab CLIs for GitHub/GitLab operations:
Authenticate after installation:
gh auth login
glab auth login
Repository: sgaunet/pplx
Provides AI-powered web search and question-answering capabilities through Perplexity AI.
Installation:
# Install from source
git clone https://github.com/sgaunet/pplx.git
cd pplx
go install
# Or download pre-built binary from releases
Configuration:
# Add to Claude Code MCP configuration
claude mcp add perplexity-ai -- pplx mcp-stdio
# Set environment variable
export PPLX_API_KEY="your-perplexity-api-key"
Environment Variables:
PPLX_API_KEY - Your Perplexity AI API key (get from perplexity.ai)Agents:
aws-specialist - AWS cloud architecture, Well-Architected Framework, cost optimizationcicd-specialist - GitHub Actions, GitLab CI, Forgejo Actions expertdatabase-specialist - PostgreSQL, MySQL optimization and schema designdevops-specialist - Terraform, Ansible, CloudFormation, cloud automationpostgresql-specialist - PostgreSQL 16+ advanced features, query optimization, replicationCommands:
/analyze-db-performance - PostgreSQL performance analysis with query and index insightsSkills: None yet
Use Cases:
Agents:
code-review-enforcer - Code quality, security, best practicesdebugger - Error analysis and root cause investigationdocs-architect - Long-form technical documentation (uses Opus model)html-first-frontend - HTMX, Alpine.js, Tailwind developmentlicense-specialist - Open source license compliance for SaaSpayment-integrator - Stripe, PayPal, subscription billingsecurity-auditor - Security vulnerability detectionCommands:
/analyze-and-create-issue - Analyze codebase issues and create GitHub/GitLab issues/analyze-pr - Comprehensive PR review for quality, security, and coverage/audit-codebase - Security and performance audit/check-claude-md-tokens - Monitor and optimize CLAUDE.md token count/commit - Generate conventional commit messages/create-issue - Create GitHub or GitLab issue/feature-flow - Complete git workflow orchestration (branch, issue, commit)/gen-claude - Generate or enhance CLAUDE.md with project guidance/upd-project-description - Update GitHub/GitLab project metadataUse Cases:
Agents:
golang-pro - Go 1.25+ expert with generics, concurrency, performance optimization