sue-config
CommunityNormalize DeepResearch scale-up experiment configs
Education & Research#deepresearch#sue#sandbox configuration#ml workflow#config normalization#scale-up experiment#runtime.yaml
Authordongzhuoyao
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill eliminates the risk of misalignment and failure across DeepResearch ML/HPC scale-up experiment workflows caused by inconsistent, invalid, or fragmented workspace configuration in the runtime.yaml contract.
Core Features & Use Cases
- Single Contract Normalization: Combines reusable policy/schema and concrete project values into a single, structured runtime.yaml file with strict separation between the two namespaces.
- Workspace Setup & Migration: Handles new workspace initialization, legacy config migration, and repair of missing or invalid configuration keys to meet DeepResearch contract requirements.
- Validation & Guardrails: Enforces DeepResearch root path validation, inode-light output rules, sandbox backend checks, and policy/concrete separation rules to prevent downstream workflow errors.
- Use Case: A research team running large-scale language model training on the Snellius supercomputer can use this skill to set up a valid runtime.yaml contract so all subsequent SUE steps (script writing, dryrun, fullrun, result summarization) use consistent, validated configuration without manual rework.
Quick Start
Use the sue-config skill to normalize or repair the runtime.yaml configuration contract for your DeepResearch scale-up experiment workspace.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sue-config Download link: https://github.com/dongzhuoyao/deepresearch/archive/main.zip#sue-config Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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