sue-tdd-demo-cifar10

Run a full SUE pipeline rehearsal on a DiT CIFAR-10 workspace and validate path rules.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/dongzhuoyao/deepresearch --skill sue-tdd-demo-cifar10
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sue-tdd-demo-cifar10
Source: https://github.com/dongzhuoyao/deepresearch/tree/main/.codex/skills/sue-tdd-demo-cifar10
Command: npx skills add https://github.com/dongzhuoyao/deepresearch --skill sue-tdd-demo-cifar10

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill eliminates the risk of untested SUE scale-up experiment pipeline gaps by running a full from-scratch rehearsal on a DiT CIFAR-10 demo workspace, ensuring no runtime artifacts from prior runs are reused, and provides actionable path rule compliance suggestions to keep experiment workflows consistent.

Core Features & Use Cases

  • Full Pipeline Rehearsal: Runs the entire canonical SUE pipeline from workspace cloning to final result summarization with no shortcuts, mimicking a new project's first run to catch hidden bugs.
  • Path Rule Validation: Audits the final run output against the workspace's config/path_rule.yaml contract and provides iteration-ready revision suggestions or explicit no-change findings.
  • Demo Documentation Update: Refreshes the public GitHub Pages Demo navbar/page to reflect the latest demo run without hardcoding specific versioned workspace names.
  • Use Case: ML/HPC teams using the SUE framework can use this Skill to validate their pipeline setup, test path contracts, and keep public demo documentation accurate for stakeholders.

Quick Start

Use the sue-tdd-demo-cifar10 skill to clone a versioned DiT CIFAR-10 demo workspace, run the full SUE pipeline from scratch, inspect the final output tree, and update the public Demo page with path rule revision suggestions.

Frequently Asked Questions about sue-tdd-demo-cifar10

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

FAQPage Schema
How do I run a full SUE pipeline rehearsal on a CIFAR-10 workspace?

To run a full SUE pipeline rehearsal, clone a versioned DiT CIFAR-10 demo workspace and execute the workflow from scratch without reusing prior runtime artifacts. This process mimics a new project's first run to catch hidden pipeline bugs.

What is path rule compliance validation in SUE experiments?

Path rule compliance validation audits the final run output against the workspace's config/path_rule.yaml contract. It provides iteration-ready revision suggestions or explicit no-change findings to keep experiment workflows consistent.

Why does my SUE scale-up experiment pipeline have untested gaps?

Untested gaps in SUE scale-up pipelines occur when runtime artifacts from prior runs are reused. Running a full from-scratch rehearsal on a DiT CIFAR-10 workspace eliminates this risk by validating end-to-end workflow functionality.

Can I use this SUE workflow to test pipeline contracts for HPC engineering teams?

Yes, ML and HPC engineering teams can use this SUE workflow to test pipeline contracts. It validates end-to-end workflow functionality, catches pipeline bugs prior to production experiment runs, and maintains up-to-date public demo documentation.

How do I update GitHub Pages Demo documentation after a SUE experiment run?

To update GitHub Pages Demo documentation, refresh the public Demo navbar and page to reflect the latest demo run. The update process avoids hardcoding specific versioned workspace names and is based on observed final run output.