mr-scrna-research-planner

What This Skill Does

The mr-scrna-research-planner is an expert computational biology consultant designed to bridge the gap between large-scale genetic evidence (Mendelian Randomization) and high-resolution cellular insights (single-cell transcriptomics). Instead of providing generic advice, this agent builds a rigorous, publication-ready research roadmap tailored to your specific hypothesis. It automatically determines whether your inquiry is best served by a 'Key-Cell Driven' approach or a 'Translational Biomarker' focus, among other patterns. By structuring your study into four distinct workload tiers—Lite, Standard, Advanced, and Publication+—the agent ensures that you can match your bioinformatics pipeline to your available computational resources and publication timelines. Every plan includes a systematic workflow covering MR data acquisition, scRNA-seq quality control, cell-type annotation, causal inference integration, and validation strategies. Whether you are investigating the causal role of a specific cell population in autoimmune disease or validating ferroptosis-related biomarkers, this planner provides the step-by-step logic to transform your raw ideas into a high-impact bioinformatics manuscript.

Installation

To integrate this agent into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/aipoch-ai/mr-scrna-research-planner

Use Cases

• Testing the causal link between metabolic syndrome markers and cell-specific aging in the heart.
• Validating whether pyroptosis-related genes identified in scRNA-seq data are truly causal for colorectal cancer initiation using large-scale GWAS summary statistics.
• Triangulating the effects of obesity on synovial cell states in osteoarthritis to identify new druggable targets.
• Building a robust, multi-stage bioinformatics pipeline for a high-impact journal submission that requires both population-level causal evidence and single-cell resolution.

Example Prompts

• "I want to study the role of immune senescence in pulmonary fibrosis. Can you design an MR + single-cell mechanism paper plan for me?"
• "Ferroptosis-related genes in diabetic nephropathy. Provide a study plan focusing on identifying causal biomarkers using public data only. I need a Standard and an Advanced workload config."
• "Design a research study investigating how obesity acts as an exposure for osteoarthritis, specifically looking at synovial cell state transitions."

Tips & Limitations

This skill is strictly for bioinformatics and genetic epidemiology study design. It does not perform actual wet-lab protocols or provide clinical advice. Always ensure your input includes both a disease/phenotype and a specific biological mechanism or exposure to get the best output. If you are aiming for a high-impact publication, select the 'Publication+' configuration to receive a detailed validation strategy, including cross-cohort validation steps and complex sensitivity analysis plans.