physical-ai-neural-reconstruction
CommunityRoute NuRec tasks to upstream skills.
Authorsayalinvidia
Version1.0.0
Installs0
System Documentation
What problem does it solve?
The NuRec router identifies the appropriate upstream sibling skill (physical-ai-datasets, ncore, nre, asset-harvester, nurec-fixer) and coordinates access to canonical NuRec recipes, enabling users to execute end-to-end 3D reconstruction workflows without duplicating upstream logic.
Core Features & Use Cases
- Router to the correct upstream skill based on user intent and NuRec workflow stage (dataset access, data conversion, training, rendering, or fusion).
- Guides users to fetch and reference the canonical upstream repository and its per-sibling SKILL.md.
- Explicit hard rules and safety boundaries to prevent mutating actions within the router.
Quick Start
Describe your NuRec goal and the router will route you to the correct upstream skill for execution.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 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: physical-ai-neural-reconstruction Download link: https://github.com/sayalinvidia/sayali-skills-test/archive/main.zip#physical-ai-neural-reconstruction Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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