clinical
This Claude Code skill provides a structured reference for clinical research methodology, covering study design hierarchies, statistical analysis techniques including survival analysis and meta-analysis, sample size calculation principles, and regulatory compliance requirements such as IRB approval and ClinicalTrials.gov registration. Use it when designing medical studies, selecting appropriate statistical approaches, ensuring regulatory adherence, or following standard reporting guidelines like CONSORT and STROBE.
git clone --depth 1 https://github.com/beita6969/ScienceClaw /tmp/clinical && cp -r /tmp/clinical/skills/clinical ~/.claude/skills/clinicalSKILL.md
# Clinical Research ## Overview Clinical study design, statistical analysis, and regulatory compliance for medical research. ## Study Designs | Design | Level of Evidence | Best For | |--------|------------------|----------| | RCT | I | Treatment efficacy | | Cohort (prospective) | II | Risk factors, prognosis | | Cohort (retrospective) | III | Exposure-outcome associations | | Case-control | III | Rare diseases, risk factors | | Cross-sectional | IV | Prevalence, correlations | | Case report/series | V | Novel observations | ## Common Analyses - **Survival analysis**: Kaplan-Meier curves, Log-rank test, Cox regression - **Diagnostic accuracy**: Sensitivity, specificity, ROC curve, AUC - **Meta-analysis**: Fixed/random effects, forest plot, heterogeneity (I-squared) - **Propensity score matching**: For observational study confounding - **Nomogram**: Predictive model visualization for clinical use ## Sample Size Calculation - Define: alpha (usually 0.05), power (usually 0.80), effect size, outcome type - Tools: G*Power, R `pwr` package, Python `statsmodels` - Report: formula used, assumptions, expected dropout rate ## Regulatory Compliance - **IRB/Ethics committee**: Required for all human subjects research - **Informed consent**: Written, voluntary, comprehensive - **ClinicalTrials.gov**: Registration before enrollment (ICMJE requirement) - **GDPR/HIPAA**: Data privacy for patient information - **GCP (Good Clinical Practice)**: ICH E6 guidelines ## Reporting Guidelines | Guideline | Study Type | |-----------|-----------| | CONSORT | Randomized controlled trials | | STROBE | Observational studies | | PRISMA | Systematic reviews / meta-analyses | | STARD | Diagnostic accuracy | | TRIPOD | Prediction models | | SPIRIT | Study protocols |
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
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.
# Academic Literature Search — 学术文献检索与引用管理
Route plain-language requests for Pi, Claude Code, Codex, OpenCode, Gemini CLI, or ACP harness work into either OpenClaw ACP runtime sessions or direct acpx-driven sessions ("telephone game" flow). For coding-agent thread requests, read this skill first, then use only `sessions_spawn` for thread creation.
Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.
Manage Apple Reminders via remindctl CLI (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.
Write articles, guides, blog posts, tutorials, newsletter issues, and other long-form content in a distinctive voice derived from supplied examples or brand guidance. Use when the user wants polished written content longer than a paragraph, especially when voice consistency, structure, and credibility matter.
Search and retrieve preprints from arXiv via the Atom API. Use this skill when searching for papers in physics, mathematics, computer science, quantitative biology, quantitative finance, statistics, electrical engineering, or economics by keywords, authors, arXiv IDs, date ranges, or categories.