creating-r-research-projectsSet up a reproducible R research workspace, install required packages, run statistical or bioinformatics analysis, and generate publication-ready reports and...
Install via ClawdBot CLI:
clawdbot install JackKuo666/creating-r-research-projectsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A university lab uses this skill to analyze RNA-seq data for a genetics study, automating differential expression analysis with DESeq2 and generating publication-ready plots and reports, ensuring reproducibility for peer review.
A hospital research team applies this skill to perform statistical modeling on patient outcome data, creating regression models and visualizations to identify trends and support clinical decision-making with documented workflows.
An environmental agency uses this skill to process sensor data, running time-series analysis and generating reports on pollution levels, with reproducible project structures for regulatory compliance and public dissemination.
A biotech company employs this skill for omics analysis in drug trials, automating bioinformatics pipelines to analyze proteomics data and produce visual summaries for internal reviews and regulatory submissions.
A consulting firm utilizes this skill to analyze survey datasets, performing statistical tests and creating dashboards with ggplot2 visualizations to deliver insights to clients in standardized report formats.
Offer a cloud-based service where users can upload datasets and receive automated R analysis reports, charging subscription fees based on usage tiers and data volume, targeting academic and corporate researchers.
Provide tailored data analysis services using this skill, helping clients with specific projects like bioinformatics or statistical modeling, billing on a per-project or hourly basis for expertise in reproducible workflows.
Develop online courses and workshops teaching users how to implement this skill for reproducible research, generating revenue through course sales, certification fees, and corporate training packages.
💬 Integration Tip
Integrate with version control systems like Git for tracking changes and cloud storage for data sharing, ensuring seamless collaboration and backup in team environments.
Scored Apr 19, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
Perform complex, long-running research tasks using Gemini Deep Research Agent. Use when asked to research topics requiring multi-source synthesis, competitive analysis, market research, or comprehensive technical investigations that benefit from systematic web search and analysis.
Deep multi-source research via Parallel API. Use when user explicitly asks for thorough research, comprehensive analysis, or investigation of a topic. For quick lookups or news, use parallel-search instead.
AI deep research powered by CellCog. Market research, competitive analysis, investment research, academic research, due diligence, literature reviews with ci...
Async deep research via Gemini Interactions API (no Gemini CLI dependency). RAG-ground queries on local files (--context), preview costs (--dry-run), structu...