learning-research-designer
research-designer for evidence-based learning research and evaluation.
research-designer for evidence-based learning research and evaluation.
Expert guidance for reviewing academic manuscripts submitted to journals, particularly in political science, economics, and quantitative social sciences. Use when asked to review, critique, or provide feedback on academic papers, research designs, or empirical strategies. Emphasizes methodological rigor, causal identification strategies, and constructive feedback on research design.
Transforms medical analysis reports into stunning, personalized, data-driven Health Realms using intelligent visualization.
Data Scientist Agent. ML 모델 개발, 실험, 분석을 담당합니다.
Evaluates investment risks, performs Monte Carlo simulations, and generates risk reports. Use when analyzing portfolio risk, stress testing, or regulatory compliance.
Conduct enterprise-grade research with multi-source synthesis, citation tracking, and verification. Use when user needs comprehensive analysis requiring 10+ sources, verified claims, or comparison of approaches. Triggers include "deep research", "comprehensive analysis", "research report", "compare X vs Y", or "analyze trends". Do NOT use for simple lookups, debugging, or questions answerable with 1-2 searches.
Conducts autonomous multi-source research producing analyst-level reports. Runs independently to find, analyze, and synthesize information. Use for competitive analysis, market research, or comprehensive topic investigation.
Analyzes relationships and connections between body systems, identifying root causes and hidden patterns in medical data.
Research documentation and evidence synthesis framework for MYCURE healthcare products using HIGH/MEDIUM/LOW confidence grading, triangulation methodology, and rigorous citation standards. Auto-activates for research documentation, evidence grading, healthcare systems analysis, user research synthesis, market analysis, competitive research. Includes Philippine healthcare context (LGU health systems, FHISIS, PhilHealth).
Statistical analysis and data exploration workflows for effective data-driven insights. Use when analyzing datasets, performing exploratory data analysis (EDA), statistical hypothesis testing, data visualization planning, finding patterns and insights, or preparing analysis reports. Triggers include "analyze data", "data analysis", "statistics", "EDA", "exploratory analysis", "data patterns", or when working with datasets requiring statistical insights.
Central Goal-Oriented Action Planning orchestrator that plans and executes clinical analysis pipelines
Extracts structured, chart-ready JSON data from medical analysis for visualization, including diagnoses, timeline, prognosis, and supplement schedules.
Produces comprehensive, well-sourced research reports through iterative refinement using Time-Tested Diffusion methodology. Triggers on "deep research", "thorough analysis", "comprehensive report", "investigate", "due diligence", or when multiple sources are needed to answer complex questions.
Knowledge about AIND data infrastructure including MongoDB/DocumentDB access patterns, S3 asset storage, collection schemas, and query patterns. Use when working with AIND analysis results, querying metadata, or accessing stored assets.
Performs comprehensive data analysis including statistical analysis, visualization, pattern detection, and report generation. Use when the user asks to analyze data, find patterns, generate insights, create visualizations, or mentions data analysis, statistics, or data science tasks.
Find patterns and correlations between health events and lab values over time. Use when user asks about "correlation between X and Y", "patterns in my data", "do symptoms affect labs", "relationship between stress and blood pressure", "what triggers my migraines", or wants to discover connections in their health data.
Analyze and interpret data to generate meaningful insights using statistical methods and visualization. Use when working with datasets, metrics, statistics, or when insights from data are needed.
Expert research analyst specializing in comprehensive information gathering, synthesis, and insight generation. Masters research methodologies, data analysis, and report creation with focus on delivering actionable intelligence that drives informed decision-making.
SpatialData framework for handling spatial multi-modal and multi-scale data. Use this skill for questions about spatial omics data analysis, visualization, and the SpatialData Python ecosystem.
Validate generated experimental procedures against LA-Bench evaluation criteria. This skill orchestrates formal validation (via script) and semantic evaluation (via subagent) to ensure compliance with LA-Bench standards. Use this skill after generating procedures to assess quality before submission.
Create polished research manuscripts with professional formatting and scholarly precision. Guides the full writing process from outline to submission-ready document.
Create polished research manuscripts with professional formatting and scholarly precision. Guides the full writing process from outline to submission-ready document.
Library of Recursive Language Model analysis patterns. Reference when designing analysis strategies for large documents.