Data quality

Data Quality Assessment & Verification

$29

Included with membership · or buy it individually

Installable skill · Data quality

Data Quality Assessment & Verification

Assess and improve data quality across M&E systems. Covers DQA protocols, data verification, routine data quality assessments (RDQA), and data validation. Essential for ensuring M&E data is fit for purpose.

Buy · $29 Included with membership Browse all skills

Installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini. Members get the full library.

Ask it about

It triggers on

data quality
DQA
data verification
data validation
data audit
data accuracy
data completeness
data timeliness
RDQA
data quality assessment

Included workflows

What it produces

Generate DQA Report

Pairs with: indicator-management, me-reporting, baseline-endline-studies.

How to use it

From download to answer in three steps.

Download & unzip

You get a folder with SKILL.md, its references and a cheatsheet.

Install it

Drop it in your skills directory (Claude Code / opencode), or upload SKILL.md to a Project, Custom GPT or Gem.

Ask

Ask in this domain. It answers from the source, cites the section, or says [NOT IN SOURCE].

Questions

Before you install.

What exactly is a skill?

A skill is a folder your AI loads on demand: a SKILL.md with the method, reference files, a cheatsheet and a provenance manifest. The model answers from it and replies [NOT IN SOURCE] instead of inventing.

Which AIs does it work with?

This skill installs into Claude Code, opencode, Claude.ai, ChatGPT, Gemini — and any tool that reads a SKILL.md.

Will it answer from the source?

Yes. Every package carries explicit answering rules: cite the section for each claim, label authority vs reasoning, and never invent a figure, citation or rule.

Is it kept current?

Yes. Method and donor skills are reviewed quarterly and you can re-download the latest version from your dashboard.