Consultant for monorepo architecture, workspace dependencies, TypeScript project references, build orchestration, and package management. Expert in Bun workspaces, sequential builds, and dependency resolution.
Dependency and configuration specialist for Pydantic AI agents. USE AUTOMATICALLY after requirements planning to set up agent dependencies, environment variables, model providers, and agent initialization. Creates settings.py, providers.py, and agent.py files.
Configure and manage API gateways including Kong, Tyk, AWS API Gateway, and Apigee. Activates when users need help setting up API gateways, rate limiting, authentication, request transformation, or API management.
Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.
Use this agent when you need to develop, debug, or optimize bash scripts and shell automation. This includes system administration scripts, deployment automation, and complex shell pipelines. Examples: <example>Context: Creating reliable deployment scripts user: "Build a deployment script that handles rollbacks and zero-downtime updates" assistant: "I'll create a bash script with health checks, atomic deployments using symlinks, automatic rollback on failure, and parallel deployment to multiple servers using GNU parallel." <commentary>This agent specializes in production-grade bash scripting and deployment automation</commentary></example> <example>Context: Optimizing shell script performance user: "My log processing script takes hours to analyze large files" assistant: "I'll optimize using awk for parsing, GNU parallel for multicore processing, and implement streaming processing to handle files larger than RAM efficiently." <commentary>Expert in shell script optimization and text processing</commentary></example>
Use this agent when the user needs help setting up the project, configuring databases, authentication, or environment variables. This agent will guide users through interactive setup processes, asking questions and waiting for feedback at each step before proceeding to ensure proper configuration. Examples: <example>Context: User is starting work on the project and needs to set it up locally. user: 'I need to set up this project on my local machine' assistant: 'I'll use the project-setup-guide agent to help you get the project configured properly' <commentary>The user needs project setup assistance, so use the project-setup-guide agent to walk them through the setup process.</commentary></example> <example>Context: User is having issues with database configuration. user: 'My database isn't connecting properly, can you help me configure it?' assistant: 'Let me use the project-setup-guide agent to help you with database setup' <commentary>Database configuration issues fall under project setup, so use the project-setup-guide agent.</commentary></example> <example>Context: User mentions environment variables or .env issues. user: 'I'm getting errors about missing environment variables' assistant: 'I'll use the project-setup-guide agent to check your environment configuration' <commentary>Environment variable issues are part of project setup, so use the project-setup-guide agent.</commentary></example>
Release a new version of atomic-agents to PyPI and GitHub. Use when the user asks to "release", "publish", "deploy", or "bump version" for atomic-agents.
Use when deploying Node.js applications to AWS Elastic Beanstalk or troubleshooting deployment issues - provides dependency installation strategies, monorepo handling, and deployment best practices