By nokodoko
Generates Datadog Terraform infrastructure for new client engagements. Creates S3 backends, monitors, dashboards, roles, and API keys based on client questionnaire responses. Supports AWS, GCP, and Azure.
Generate Datadog agent configuration files based on questionnaire responses
Process a filled questionnaire and orchestrate full infrastructure setup
Create S3 backend bucket for Terraform state
Generate a complete Datadog Terraform infrastructure for a new client
Generate monitors based on questionnaire responses
This skill auto-detects when a user wants to set up a new Datadog client infrastructure and triggers the appropriate generation workflow.
This skill helps users interactively fill out the client questionnaire with intelligent suggestions and validation.
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A collection of specialized agents, plugins, and tooling for Claude Code.
Five specialized sub-agents for comprehensive code review:
| Command | Agent | Model | Purpose |
|---|---|---|---|
/code-review <target> | Code Reviewer | sonnet | Code quality, DRY, architecture |
/security-review <target> | Security Reviewer | opus | OWASP vulnerabilities, threat analysis |
/tech-lead <target> | Tech Lead | opus | Architecture, tech debt, risk assessment |
/ux-review <target> | UX Reviewer | haiku | Accessibility, error handling, responsive design |
/code-simplify <target> | Code Simplifier | haiku | Reduce complexity, remove dead code |
/review-all <target> | All agents | mixed | Run all five in parallel |
Scaffold new Claude Code plugins interactively:
/plugin-generator:generate [plugin-name]
Creates plugins with:
agents/
├── agents/ # Agent prompt definitions
├── commands/ # Slash commands that invoke agents
├── plugins/ # Claude Code plugins
│ ├── code-review-agents/ # Plugin exposing review commands
│ └── plugin_generator/ # Plugin scaffolding tool
├── settings/ # User settings (LSP, MCP, hooks)
├── .claude-plugin/ # Marketplace registry
├── config.json # Agent metadata
└── run_agent.py # CLI helper for agent invocation
# Install code review agents
claude plugin install code-review-agents@agents
# Install plugin generator
claude plugin install plugin-generator@agents
Copy to your plugins directory:
cp -r plugins/plugin_generator ~/.claude/plugins/
cp -r plugins/code-review-agents ~/.claude/plugins/
# In a Claude Code session
/code-review ./src/
/security-review ./api/
/review-all ./project/
/plugin-generator:generate my-awesome-plugin
python run_agent.py --list # List available agents
python run_agent.py code_reviewer ./src/ # Get Task config for one agent
python run_agent.py --all ./src/ # Get Task configs for all agents
Create prompt file in agents/<agent_name>.md:
# Agent Name
**Model:** sonnet|opus|haiku
## System Prompt
<prompt content>
Add entry to config.json under agents
Create command in commands/<command-name>.md
MIT
npx claudepluginhub nokodoko/agents --plugin org-generatorSpecialized sub-agents for code review: Code Reviewer, Code Simplifier, Security Reviewer, Tech Lead, and UX Reviewer
Scaffolds new Claude Code plugins with interactive component selection
Use this agent when setting up CI/CD pipelines, configuring cloud infrastructure, implementing monitoring systems, or automating deployment processes. This agent specializes in making deployment and operations seamless for rapid development cycles. Examples:\n\n<example>\nContext: Setting up automated deployments\nuser: "We need automatic deployments when we push to main"\nassistant: "I'll set up a complete CI/CD pipeline. Let me use the devops-automator agent to configure automated testing, building, and deployment."\n<commentary>\nAutomated deployments require careful pipeline configuration and proper testing stages.\n</commentary>\n</example>\n\n<example>\nContext: Infrastructure scaling issues\nuser: "Our app crashes when we get traffic spikes"\nassistant: "I'll implement auto-scaling and load balancing. Let me use the devops-automator agent to ensure your infrastructure handles traffic gracefully."\n<commentary>\nScaling requires proper infrastructure setup with monitoring and automatic responses.\n</commentary>\n</example>\n\n<example>\nContext: Monitoring and alerting setup\nuser: "We have no idea when things break in production"\nassistant: "Observability is crucial for rapid iteration. I'll use the devops-automator agent to set up comprehensive monitoring and alerting."\n<commentary>\nProper monitoring enables fast issue detection and resolution in production.\n</commentary>\n</example>
Production reliability and observability across all environments. Master Datadog, CloudWatch, monitoring, incident response, SRE practices, and audit logging for enterprise compliance.
Commands for setting up monitoring and observability
Research-backed, opinionated guidance for building cloud infrastructure that doesn't rot — multi-account governance, naming conventions, IaC organization, security, deployment pipelines, and operational hygiene, distilled from production experience across multiple cloud migrations
Monitoring and alerting configuration with dashboard generation
Deployment engineering with Terraform and infrastructure as code