research

Solid

Orchestrate parallel scientist agents for comprehensive research with AUTO mode

AI & Automation 6 stars 1 forks Updated yesterday 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 ``` /research <goal> # Standard research with user checkpoints /research AUTO: <goal> # Fully autonomous until complete /research status # Check current research session status /research resume # Resume interrupted research session /research list # List all research sessions /research report <session-id> # Generate report for session ``` ### Quick Examples ``` /research What are the performance characteristics of different sorting algorithms? /research AUTO: Analyze authentication patterns in this codebase /research 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: ```markdown ## Research Decomposition **Goal:** <original research goal> ### Stage 1: <stage-name> - **Focus:** What this stage investiga...

Details

Author
mazenyassergithub
Repository
mazenyassergithub/oh-my-claudecode
Created
4 years ago
Last Updated
yesterday
Language
TypeScript
License
MIT

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