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submit

Submit projects to the BERDL lakehouse after validation and AI review.

14|11|Updated Jan 15, 2026
Search Tags:#validation#AI#archival#review#lakehouse#submission
One-click install
npx skills add https://github.com/kbaseincubator/BERIL-research-observatory --skill submit-kbaseincubator
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: submit
Source: https://github.com/kbaseincubator/BERIL-research-observatory/tree/main/.claude/skills/submit
Command: npx skills add https://github.com/kbaseincubator/BERIL-research-observatory --skill submit-kbaseincubator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the project submission process by automating pre-submission checks and invoking an AI reviewer to ensure quality and completeness before archival.

Core Features & Use Cases

  • Automated Validation: Performs critical and advisory checks on project documentation and code.
  • AI-Powered Review: Leverages a dedicated AI reviewer to generate a REVIEW.md report.
  • Lakehouse Archival: Automatically uploads validated projects to the BERDL MinIO data lake.
  • Use Case: A researcher has completed a new analysis project and wants to ensure all documentation is in order and get an AI-generated quality assessment before archiving it.

Quick Start

Use the submit skill to submit project with id 'my-new-analysis'.

Frequently Asked Questions about submit

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I submit a project for AI review and archival?▼

The automated validation process performs critical and advisory checks on project documentation and code to ensure completeness. It ensures all required documentation is in order before the AI reviewer is invoked to generate a quality assessment.

What happens after the AI reviewer evaluates my project?▼

The submit skill handles project ID resolution and provides status updates throughout the submission lifecycle. It tracks the project from initial validation through AI review and final lakehouse archival.

Can I submit a project to the BERDL lakehouse without complete documentation?▼

The AI-powered review leverages a dedicated AI reviewer to generate a REVIEW.md report assessing project quality. This automated report highlights completeness and quality issues before the project is archived to the data lake.

What kind of pre-submission checks are run before uploading to the data lake?▼

Yes, the submit skill provides post-review guidance after the AI reviewer generates the REVIEW.md report. This guidance helps researchers understand the quality assessment and address any advisory issues flagged during the automated review.

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