sciomc

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Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode

AI & Automation 36,273 stars 3296 forks Updated today MIT

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Skill Content

# Research Skill Orchestrate parallel scientist agents for comprehensive research workflows with optional AUTO mode for fully autonomous execution. ## Overview Research is a multi-stage workflow that decomposes complex research goals into parallel investigations: 1. **Decomposition** - Break research goal into independent stages/hypotheses 2. **Execution** - Run parallel scientist agents on each stage 3. **Verification** - Cross-validate findings, check consistency 4. **Synthesis** - Aggregate results into comprehensive report ## Usage Examples ``` /oh-my-claudecode:sciomc <goal> # Standard research with user checkpoints /oh-my-claudecode:sciomc AUTO: <goal> # Fully autonomous until complete /oh-my-claudecode:sciomc status # Check current research session status /oh-my-claudecode:sciomc resume # Resume interrupted research session /oh-my-claudecode:sciomc list # List all research sessions /oh-my-claudecode:sciomc report <session-id> # Generate report for session ``` ### Quick Examples ``` /oh-my-claudecode:sciomc What are the performance characteristics of different sorting algorithms? /oh-my-claudecode:sciomc AUTO: Analyze authentication patterns in this codebase /oh-my-claudecode:sciomc How does the error handling work across the API layer? ``` ## Research Protocol ### Stage Decomposition Pattern When given a research goal, decompose into 3-7 independent stages: ```m...

Details

Author
Yeachan-Heo
Repository
Yeachan-Heo/oh-my-claudecode
Created
5 months ago
Last Updated
today
Language
TypeScript
License
MIT

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