QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility.
Quickly install data-validation AI skill to your development environment via command line
Source: anthropics/knowledge-work-plugins.
Pre-delivery QA checklist, common data analysis pitfalls, result sanity checking, and documentation standards for reproducibility.
Run through this checklist before sharing any analysis with stakeholders.
The problem: A many-to-many join silently multiplies rows, inflating counts and sums.
QA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility. Source: anthropics/knowledge-work-plugins.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/anthropics/knowledge-work-plugins --skill data-validationQA an analysis before sharing with stakeholders — methodology checks, accuracy verification, and bias detection. Use when reviewing an analysis for errors, checking for survivorship bias, validating aggregation logic, or preparing documentation for reproducibility. Source: anthropics/knowledge-work-plugins.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/anthropics/knowledge-work-plugins --skill data-validation Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/anthropics/knowledge-work-plugins