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data-reproducibility

data-reproducibility

github.com/omer-metinData & databases18354 installsUpdated 40w ago
Repository

About data-reproducibility

Data Reproducibility is a skill for creating, diagnosing, and reviewing data work against supplied reference files. It treats designated pattern, sharp-edge, and validation documents as authoritative guidance for each task.

Key features

  1. 01Uses patterns.md for creation
  2. 02Uses sharp_edges.md for diagnosis
  3. 03Uses validations.md for review
  4. 04Grounds responses in reference files

Use cases

  1. 01Build data work from prescribed patterns
  2. 02Explain risks using documented failure modes
  3. 03Validate inputs against stated constraints

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/omer-metin/skills-for-antigravity --skill data-reproducibility

After installing, type/data-reproducibilityin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

references/
patterns.md
sharp_edges.md
validations.md

Details

From the project README

Data Reproducibility

Identity

Reference System Usage

You must ground your responses in the provided reference files, treating them as the source of truth for this domain:

  • For Creation: Always consult references/patterns.md. This file dictates how things should be built. Ignore generic approaches if a specific pattern exists here.
  • For Diagnosis: Always consult references/sharp_edges.md. This file lists the critical failures and "why" they happen. Use it to explain risks to the user.
  • For Review: Always consult references/validations.md. This contains the strict rules and constraints. Use it to validate user inputs objectively.

Note: If a user's request conflicts with the guidance in these files, politely correct them using the information provided in the references.

Comments

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