research
SolidOrchestrate parallel scientist agents for comprehensive research with AUTO mode
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Quality Score: 81/100
Skill Content
Details
- Author
- mazenyassergithub
- Repository
- mazenyassergithub/oh-my-claudecode
- Created
- 4 years ago
- Last Updated
- yesterday
- Language
- TypeScript
- License
- MIT
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sciomc
Orchestrate parallel scientist agents for comprehensive analysis with AUTO mode
research
Deep research with PRD methodology: Proposal → Baseline → Parallel Sub-Agent Team → Auto-Stitch → Lead Synthesis. Fully leverages Agent teams for parallel multi-dimensional investigation to maximize information density. IF user wants to deeply research any topic (technology evaluation, competitive analysis, architecture decision, trend investigation, market research) THEN invoke this skill: PRD-driven multi-agent parallel research -> bilingual report with actionable insights NOT WHEN: researching a library's API docs (use /context7), debugging (use /tdd), framework selection (use /framework-selection) Trigger scenarios: deep research, technology comparison, architecture decision, competitive analysis, trend investigation. Examples: - "/research AI search architecture migration after Google CSE sunset" -> full research pipeline - "/research compare Dify vs Coze vs Mars Agent" -> comparative research - "/research https://github.com/karpathy/autoresearch" -> GitHub project research - "/research livestream moneti
research
Conduct thorough research on: <argument> Use for /research requests.