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Phase 0: Initialize or import a clinical research project. Detect existing artifacts and import into clinpub structure, or start fresh. Discuss study design, variables, analysis methods with user; generate project_config.yml, directory structure, and .clinpub/ artifacts.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
Phase 2: Adaptive statistical analysis. Claude diagnoses data structure (groups, timepoints, outcome types), proposes a customized analysis plan, discusses with user, and executes in dependency order. Each method outputs figure + table + README with publication-grade standards.
Phase 1: Data preparation and exploratory data analysis. Clean raw data, handle missing values, detect outliers, create derived variables, generate data quality report, and produce cleaned.csv.
Topic mining from clinical data tables (CSV/XLSX). Analyze variable structure, distribution patterns, missing data, and correlations; combine with PubMed literature search to identify research gaps; generate 3-5 structured candidate paper topics with feasibility scores. No statistical analysis or manuscript writing involved.
Read workspace state and auto-route to the appropriate clinpub command. With natural language input (e.g., '/clinpub:do 我想改清洁逻辑'), routes by intent. With no arguments, shows current state summary and suggests next commands.
Phase milestone management. Review completed phase deliverables, verify success criteria, record decisions, and gate progression to next phase. Generates MILESTONE.md and updates ROADMAP.md.
Modify completed analysis outputs. Clarifies modification scope (figure style, statistical method, variables), executes changes, verifies outputs, and records history in PLAN.md. Can be invoked from any phase. Triggers: modify figures, change analysis method, adjust chart style, replace variables.
SOC 직업 분류 기준
| name | clinpub-init |
| description | Phase 0: Initialize or import a clinical research project. Detect existing artifacts and import into clinpub structure, or start fresh. Discuss study design, variables, analysis methods with user; generate project_config.yml, directory structure, and .clinpub/ artifacts. |
Phase 0: Initialize a new clinical research project or import an existing one. If research artifacts are detected (data files, analysis outputs, manuscript drafts), enter import mode to scan, infer roles, confirm mapping, and adapt to clinpub structure. Otherwise, discuss the study framework with the user, create the project directory structure, generate project_config.yml, and set up .clinpub/ planning artifacts.
pipeline/workflows/init-project.mdpipeline/templates/project.md, roadmap.md, state.md, method-readme.mdpipeline/references/checkpoints.md, r_patterns.mdpipeline/workflows/import-project.md, pipeline/references/import-heuristics.mdExecute the workflow from pipeline/workflows/init-project.md:
03_AnalysisMethods/{method_id}/ and 04_Outputs/{method_id}/ for each confirmed method方法说明.md exists in each 03_AnalysisMethods/{method_id}/Import mode additional (if applicable):