scbe-research-training-bridge
CommunityBundle research notes into HF-ready training data
Authorissdandavis
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This skill bridges scattered research evidence (ArXiv evidence, Obsidian/markdown notes) into source-grounded Hugging Face training bundles, enabling reproducible review and later SFT runs.
Core Features & Use Cases
- Stages arXiv evidence and Obsidian notes into a deterministic bundle.
- Produces training artifacts: research_corpus.jsonl, source_manifest.json, hf_training_manifest.json, and bundle reports.
- Use Case: Prepare a review packet by piping vetted notes and arXiv exports into a ready-to-train dataset.
Quick Start
Use the bridge to transform arXiv evidence and Obsidian notes into a deterministic source-grounded HF training bundle.
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: scbe-research-training-bridge Download link: https://github.com/issdandavis/SCBE-AETHERMOORE/archive/main.zip#scbe-research-training-bridge Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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