Research OS — Testing skill 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.
How to install Research OS
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open wielandbrendel/research-os and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Research OS does
Research-OS is an orchestration system built on top of Claude Code that combines rigorous research planning with spec- and test-driven engineering.
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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
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