By Logos-Liber
After every Claude Code tool use, run a Node.js observer script to log or monitor actions without executing bash or writing files.
Performs statistical analysis, creates visualizations, and interprets results
Builds data pipelines, ETL processes, and data infrastructure
Analyzes datasets, identifies patterns, and understands data structure
Develops machine learning models, feature engineering, and model optimization
Manages model deployment, monitoring, and CI/CD for ML systems
Data pipeline patterns, ETL/ELT best practices, data storage options, and data quality techniques
Model selection guidelines, feature engineering techniques, hyperparameter tuning strategies, evaluation metrics, and common ML frameworks
Model deployment strategies, monitoring and drift detection, CI/CD for ML models, feature store concepts, and model versioning
Statistical methods and tests, hypothesis testing, A/B testing frameworks, time series analysis, and experimental design
Matches all tools
Hooks run on every tool call, not just specific ones
Uses power tools
Uses Bash, Write, or Edit tools
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Agent team plugins for Claude Code. Each team is a pre-configured group of specialized agents that collaborate through phased workflows to deliver high-quality results.
| Team | Description | Agents | Primary Focus |
|---|---|---|---|
| fullstack-dev | Full-stack development | 5 | Frontend, Backend, QA, DevOps |
| game-dev | Multi-engine game development | 6 | Unity, Unreal, Godot, Three.js, Orleans |
| marketing-seo | Marketing, SEO, and social media | 5 | Content creation, SEO, engagement |
| data-science | Data science and ML | 5 | Data analysis, ML models, MLOps |
| devops-cloud | DevOps and cloud infrastructure | 5 | CI/CD, deployment, observability |
| design-ux | Design and UX | 5 | User research, UI/UX, accessibility |
| security | Security and compliance | 5 | Code security, vulnerability scanning |
| documentation | Technical documentation | 5 | API docs, tutorials, guides |
| qa-testing | QA and testing | 5 | Automated testing, performance, quality |
| mobile-dev | Mobile development | 5 | iOS, Android, cross-platform |
| 3d-design | 3D design and assets | 7 | Modeling, animation, rigging, VTuber |
Full-stack development team with frontend, backend, QA, and DevOps agents
/fullstack-dev:fullstack Build a user dashboard with authentication
/fullstack-dev:status
Multi-engine game development team covering Unity, Unreal, Godot, Three.js/R3F, and Orleans distributed servers
/game-dev:game Implement a character controller system
/game-dev:status
Marketing, SEO, and social media team for content creation, optimization, and engagement
/marketing-seo:marketing Create a content marketing campaign for SaaS product
/marketing-seo:status
Data science and machine learning team for data analysis, ML model development, and MLOps
/data-science:data Build a predictive model for customer churn
/data-science:status
DevOps and cloud team for infrastructure, CI/CD, deployment, and observability
/devops-cloud:devops Set up a production-ready CI/CD pipeline
/devops-cloud:status
Design and UX team for user research, UI/UX design, wireframing, and accessibility
npx claudepluginhub logos-liber/atlas-agent-teamsMulti-engine game development team with Unity, Unreal, Godot, Three.js/R3F, and Orleans agents that collaborate through phased workflows
3D design team for modeling, animation, rigging, texturing, VTuber creation, and asset optimization
Full-stack development team with frontend, backend, QA, and DevOps agents that collaborate through phased workflows
Design and UX team for user research, UI/UX design, wireframing, and accessibility
DevOps and cloud team for infrastructure, CI/CD, deployment, and observability
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Feature development with code-architect/explorer/reviewer agents, CLAUDE.md audit and session learnings, and Agent Skills creation with eval benchmarking from Anthropic.
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.