Research Literacy
CommunityPlan with justification, protect research rigor.
AuthorHaoxuanLiTHUAI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
AI agents tend to execute analysis steps immediately without planning or justification. In research, every analysis decision needs a rationale grounded in theory, design, and data characteristics. This skill encodes the basic scientific thinking that should precede any domain-specific action.
Core Features & Use Cases
- Research Question Formulation: Transform vague ideas into specific, testable questions using the PICOS framework (Population, Intervention, Comparison, Outcome, Study design).
- Method Selection & Planning Protocol: Choose appropriate analysis methods, declare alternatives, and map decision points that require user confirmation.
- Expected Outcomes & Assumptions: Articulate anticipated results and enumerate assumptions, limitations, and potential threats to validity.
- Human-in-the-Loop Governance: Enforce mandatory pause points for critical decisions and ensure transparent, auditable workflows.
Quick Start
Ask me to generate a complete research planning template for a cognitive science study.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: Research Literacy Download link: https://github.com/HaoxuanLiTHUAI/awesome_cognitive_and_neuroscience_skills/archive/main.zip#research-literacy Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 223,000+ vetted skills library on demand.