Autonomous software development workflows with minimal token usage via on-demand resource loading
/plugin marketplace add seth-schultz/orchestr8
/plugin install orchestr8@seth-schultz/orchestr8
Adaptive workflow selector that retrieves all workflows, selects the best match, and executes with JIT resource loading
Add features to existing codebase with design, implementation, testing, and integration
Technology and pattern comparison with empirical performance and feature analysis
Build complete ML pipeline from data ingestion, preprocessing, training, evaluation, to production deployment with MLOps
Ultra-optimized build command with JIT resource loading - fetches expertise dynamically as needed
Empirically compare 2-3 specific approaches with benchmarks and feature analysis
Create domain expert agent fragments with optimal structure and discoverable metadata
Generate world-class Medium articles with viral potential and platform optimization
Create complete Claude Code plugin with agents, commands, skills, hooks, and comprehensive documentation
Create reusable skill fragments with techniques, patterns, and practical examples
Create multi-phase workflow definitions with JIT resource loading and progress tracking
Automated deployment with pre-flight checks, staging validation, and production rollout
Discover patterns, anti-patterns, and refactoring opportunities in existing codebase
Multi-approach exploration workflow for discovering optimal solutions through parallel experimentation
Systematically debug, fix, test, and prevent bugs with regression tests
Generate Mermaid architecture diagrams (C4 L0-L3), data flows, sequence diagrams, and user journey flows from codebase analysis
Generate visualizations, diagrams, and charts for Medium articles and technical documentation
Git Expert Command
Capture organizational knowledge including patterns, anti-patterns, performance baselines, validated assumptions, technology comparisons, and refactoring opportunities
Generate comprehensive knowledge base reports with visualizations, trends, and insights for organizational learning
Search and retrieve organizational knowledge across patterns, anti-patterns, performance baselines, assumptions, technology comparisons, and refactoring opportunities
Modernization Architect coordinating comprehensive legacy system analysis and cloud migration planni
Create new projects with tech stack selection, architecture design, and parallel implementation
Orchestr8 autonomous workflow - dynamically assembles expertise catalog with JIT loading
Comprehensive cloud cost optimization covering right-sizing, storage, reserved capacity, auto-scaling, and FinOps governance
Performance optimization through profiling, bottleneck identification, and systematic improvements
Get expert guidance on Orchestr8 optimization strategies and resource creation
Improve code structure, quality, and maintainability without changing behavior
Research multiple solution approaches for a problem and recommend best option with evidence
Parallel hypothesis testing workflow for exploring multiple approaches simultaneously
Comprehensive architecture review covering design patterns, SOLID principles, scalability, security, technical debt, and API design
Comprehensive code review covering quality, architecture, security, and performance
Comprehensive PR review with code analysis, security audit, and automated GitHub feedback
Security vulnerability assessment covering authentication, authorization, input validation, and infrastructure
Configure CI/CD pipeline with automated testing, security scanning, and deployment automation
Deploy complete observability stack with metrics, logs, traces, dashboards, and alerting
Automated web UI testing with visual testing, functional testing, accessibility validation, and performance analysis
Validate architectural assumptions and design decisions through empirical testing
Systematic validation of technical assumptions and constraints through empirical testing
Automated code review for pull requests using multiple specialized agents with confidence-based scoring
Claude Agent SDK Development Plugin
Implementation of the Ralph Wiggum technique - continuous self-referential AI loops for interactive iterative development. Run Claude in a while-true loop with the same prompt until task completion.
Streamline your git workflow with simple commands for committing, pushing, and creating pull requests