How does it ensure cross-file consistency?

The workflow synchronizes the individual dataset entry with the Dataset Quick Reference and Processing Status files to ensure counts and statuses match across the entire project.

Does this skill modify my dataset files?

Yes, it can update catalog entries, status logs, and reference files, though you can use the --skip-parser-update flag for audit-only mode.

What categories of datasets are supported?

The skill can auto-detect or accept specific categories such as forms, tables, handwriting, language, IQA (Image Quality Assessment), and documents.

What is the main purpose of the dataset-review skill?

It automates the review and validation of dataset catalog entries to ensure they meet strict architectural and documentation standards for RAG applications.

Dataset Catalog Review

Name: Dataset Catalog Review
Author: williaby

bywilliaby

•

Data Science & ML

Audits and validates dataset catalog entries to ensure metadata consistency, template compliance, and RAG-readiness.

The Dataset Review skill automates the rigorous validation of dataset catalog entries within RAG (Retrieval-Augmented Generation) workflows. It systematically performs gap analyses against standardized templates, audits parser extraction logic against source labels, and ensures cross-file consistency between processing status logs and reference documentation. By integrating research-backed verification and Layer 2 schema checks, this skill ensures that your data lineage and preprocessing documentation remain production-grade, highly organized, and fully compliant with internal repository standards.

Key Features

01Automated gap analysis against standardized dataset templates

02Compliance verification for Layer 2 schemas and text enrichment

031 GitHub stars

04Multi-file synchronization across catalogs, quick references, and status logs

05Parser auditing to verify extraction accuracy against source labels

06Research-driven validation including paper lookup and repository review

Use Cases

01Maintaining cross-file consistency in large-scale dataset repositories

02Auditing existing dataset parsers for extraction accuracy before RAG integration

03Standardizing documentation for new computer vision or OCR datasets

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add williaby/image-preprocessing-detector dataset-review

For use in Claude.ai and ChatGPT

Download Skill