fabric-training-loop
OfficialPlan, run, and log Fabric training with evidence.
AuthorMetta-AI
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill enables disciplined planning, execution, and evaluation of Fabric training experiments to generate reliable, evidence-based insights for model improvements.
Core Features & Use Cases
- High-level Fabric declarations: Start experiments with clear architectural intents and minimal backend changes.
- Controlled comparisons: Perform side-by-side ablations with consistent seeds, tasks, and logging to isolate effects.
- Evidence-driven decisions: Maintain an active progress document and structured logs under ai_docs/ to justify decisions.
Quick Start
Define a training hypothesis, configure the Fabric stack, run a short controlled experiment, and log the results under ai_docs/.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
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Please help me install this Skill: Name: fabric-training-loop Download link: https://github.com/Metta-AI/cortical/archive/main.zip#fabric-training-loop Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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