Research Discovery

About

Acts as a comprehensive gateway for research methodology, intelligently activating specific sub-skills based on your task's unique context. Whether you are conducting a meta-analysis, designing an experimental study, or performing qualitative thematic analysis, this skill provides the necessary frameworks—ranging from FINER criteria and power analysis to IMRAD reporting—to ensure academic rigor. It optimizes context efficiency by progressively loading specialized modules for planning, collection, analysis, and writing as your research project evolves from initial hypothesis to final publication.

Key Features

• 41 GitHub stars
• Support for quantitative, qualitative, and mixed-methods methodologies
• Guided protocols for data collection, systematic coding, and analysis
• Context-aware auto-activation for specialized research sub-skills
• Standardized academic writing guidelines including IMRAD and APA reporting
• Frameworks for study design, hypothesis testing, and sampling strategies

Use Cases

• Planning a new research study from scratch using validated design criteria
• Developing interview protocols and performing thematic qualitative analysis
• Synthesizing existing literature and conducting meta-analyses with Python