academic-deep-research
CommunityRigorous, transparent, and reproducible research.
AuthorAmitabhainArunachala
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill provides a transparent, rigorous, and self-contained research methodology, avoiding the "black-box" nature of API wrappers. It ensures every step is documented and reproducible, offering user control and academic standards.
Core Features & Use Cases
- Full Methodology Visibility: Every step of the research process is documented.
- No External Dependencies: Runs entirely on native OpenClaw tools.
- User Control: Features three explicit checkpoints for user approval.
- Academic Rigor: Adheres to APA citations, evidence hierarchy, and confidence levels.
- Mandated Research Cycles: Conducts a minimum of two full research cycles per theme for thoroughness.
- Use Case: Ideal for literature reviews requiring academic rigor, competitive intelligence with source verification, or complex topics needing multi-source synthesis.
Quick Start
Use /research to start a comprehensive analysis of your topic.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferencesassets
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: academic-deep-research Download link: https://github.com/AmitabhainArunachala/clawd/archive/main.zip#academic-deep-research Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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