Design a new repeated statistical or computational analysis script from scratch using the five-layer modular architecture: constants → data loading → atomic functions → output functions → orchestrator (runone). Use this skill when a user wants to write a new analysis script that applies the same procedure across multiple combinations of inputs, asks how to structure code that loops over outcomes, predictors, conditions, timepoints, ROIs, cohorts, or other dimensions, or invokes /analysis-plan. This skill works in any scripting language (R, Python, Julia, MATLAB, shell, etc.) and for any kind of repeated analysis — statistical models, image processing pipelines, feature extraction loops, simulation sweeps, etc. If the user already has a working but disorganized script they want to clean up, suggest /analysis-refactor instead.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryScience & researchStars0
About this skill
Design a new repeated statistical or computational analysis script from scratch using the five-layer modular architecture: constants → data loading → atomic functions → output functions → orchestrator (runone). Use this skill when a user wants to write a new analysis script that applies the same procedure across multiple combinations of inputs, asks how to structure code that loops over outcomes, predictors, conditions, timepoints, ROIs, cohorts, or other dimensions, or invokes /analysis-plan. This skill works in any scripting language (R, Python, Julia, MATLAB, shell, etc.) and for any kind of repeated analysis — statistical models, image processing pipelines, feature extraction loops, simulation sweeps, etc. If the user already has a working but disorganized script they want to clean up, suggest /analysis-refactor instead.
Quick start
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Design a new repeated statistical or computational analysis script from scratch using the five-layer modular architecture: constants → data loading → atomic functions → output functions → orchestrator (run_one). Use this skill when a user wants to write a new analysis script that applies the same procedure across multiple combinations of inputs, asks how to structure code that loops over outcomes, predictors, conditions, timepoints, ROIs, cohorts, or other dimensions, or invokes /analysis-plan. This skill works in any scripting language (R, Python, Julia, MATLAB, shell, etc.) and for any kind of repeated analysis — statistical models, image processing pipelines, feature extraction loops, simulation sweeps, etc. If the user already has a working but disorganized script they want to clean up, suggest /analysis-refactor instead.
About this listing
Category
Science & research
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI