Individual skill
book-sft-pipeline
This skill should be used for book-to-SFT pipelines: ePub extraction, literary segmentation, author-voice dataset construction, style-transfer training, LoRA workflows, and model evaluation for voice replication.
examples/book-sft-pipeline/SKILL.md
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README.mddoc · 2,795 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesSKILL.mdcore · 14,242 bytesexamples/gertrude-stein/README.mddoc · 5,460 bytesexamples/gertrude-stein/dataset_sample.jsonlasset · 3,968 bytesexamples/gertrude-stein/pangram/Screenshot 2025-12-27 at 3.05.04 AM.pngasset · 206,831 bytesexamples/gertrude-stein/pangram/Screenshot 2025-12-27 at 3.05.36 AM.pngasset · 137,345 bytesexamples/gertrude-stein/pangram/Screenshot 2025-12-27 at 3.07.18 AM.pngasset · 132,416 bytesexamples/gertrude-stein/sample_outputs.mddoc · 3,564 bytesexamples/gertrude-stein/training_config.jsonasset · 2,814 bytesreferences/segmentation-strategies.mddoc · 10,817 bytesreferences/tinker-format.mddoc · 6,068 bytesreferences/tinker.txtdoc · 146,022 bytesscripts/pipeline_example.pyruns · 6,695 bytes
Read excerpt
# Book SFT Pipeline
A complete system for converting books into SFT datasets and training style-transfer models. This skill teaches the pipeline from raw ePub to a model that writes in any author's voice.
## When to Activate
Activate this skill when:
- Building fine-tuning datasets from literary works
- Creating author-voice or style-transfer models
- Preparing training data for Tinker or similar SFT platforms
- Designing text segmentation pipelines for long-form content
- Training small models (8B or less) on limited data
## Core Concepts