ds-analysis-plan
CommunityTurn questions into reproducible analysis plans
Data & Analytics#experiment design#reproducibility#statistical methods#metric validation#notebook execution#analysis planning#cohorts and windows
AuthorKhodzitcky-Vl
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill prevents “late discovery” failures by converting a research question into an explicit, reproducible notebook plan with defined cohorts, windows, metrics, validation checkpoints, and decision-ready outputs before any major querying or transformations begin.
Core Features & Use Cases
- Cohort and metric specification: Defines randomization/analysis units, time windows, exclusions, and a concrete metric hierarchy so downstream work is consistent with the decision being made.
- Validation-driven planning: Includes required diagnostics (e.g., balance/SRM/invariants when applicable) and sets a validation level and verification mode to control how strict the outputs must be.
- Operational observability: Requires runtime visibility via compact stage/timing/row-count checkpoints and explicit progress expectations to avoid silent long-running work.
- Reproducibility by default: Produces a plan that another analyst can rebuild and rerun from scratch, with artifacts such as expected output shapes and a final memo.
Quick Start
Use ds-analysis-plan to create a self-contained notebook execution plan for your experiment question, including cohorts, metric computations, validation checks, and the final decision memo.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: ds-analysis-plan Download link: https://github.com/Khodzitcky-Vl/data-science-ai-superpowers/archive/main.zip#ds-analysis-plan Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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