Research Os
Description
Research-OS is an orchestration system built on top of Claude Code that combines rigorous research planning with spec- and test-driven engineering.
Installation
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open the source below and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
README
Research-OS
**An agentic research engineering ecosystem for Claude Code**
Research-OS is an orchestration system built on top of Claude Code that combines rigorous research planning with spec- and test-driven engineering. It provides a structured workflow for transforming research ideas into fully implemented, production-ready code through spec- and test-driven development principles with sophisticated context engineering.
Overview
Research-OS separates the cognitive work of research planning from the execution work of engineering implementation through two specialized, marketplace-compatible plugins that can be used independently or together:
- Researcher Plugin: Focuses on hypothesis development, literature review, and experiment planning
- Engineer Plugin: Handles spec-driven development with implementation and verification workflows
This separation enables:
- Clear distinction between "what to build" (research) and "how to build it" (engineering)
- Reusable research artifacts that inform multiple implementations
- Professional development practices with automated verification
- Sophisticated context engineering through standards and templates
Key Features
🔬 Research-First Development
- Systematic hypothesis refinement and validation
- Comprehensive literature review and related work analysis
- Experiment roadmap with dependency tracking
- Mission-driven project planning
🏗️ Spec-Driven Implementation
- Requirements gathering with visual asset support
- Detailed specification generation
- Strategic task breakdown with agent assignments
- Automated verification and testing
🤖 Multi-Agent Orchestration
- 19 specialized agents across research and engineering domains
- Intelligent task delegation based on agent expertise
- Parallel execution for independent tasks
- Context passing between agents via file artifacts
📐 Standards & Quality
- Customizable coding standards and conventions
- Automatic code quality checks (via ruf
Related Skills
Spec Kit
💫 Toolkit to help you get started with Spec-Driven Development
Testing Webapp Testing
Test local web applications using Playwright for UI verification and debugging
Testing #29
, [#52](https://github.com/affaan-m/everything-claude-code/issues/52), [#103](https://github.com/affaan-m/ever
Testing Fix Issue
by metabase - Addresses GitHub issues by taking issue number as parameter, analyzing context, implementing sol
Testing Pypict Test Design
Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for optimized test sui
Testing gstack
| 15,000+ | Garry Tan's exact Claude Code setup: 6 opinionated tools that serve as CEO, Eng Manager, Release M
Testing