book-sft-pipeline
This skill should be used when the user asks to "fine-tune on books", "create SFT dataset", "train style model", "extract ePub text", or mentions style transfer, LoRA training, book segmentation, or author voice replication.
Book SFT Pipeline
A standalone example skill for training language models to write in any author's style. It is not published as a separate Claude Code marketplace plugin from this repository.
Installation
Claude Code / Cursor / Codex
Agent Skills hosts expect a directory containing SKILL.md, not a flat copied markdown file. From the repository root, copy the whole example directory into the target skill root:
# Claude Code project-scoped install
mkdir -p .claude/skills
cp -R examples/book-sft-pipeline .claude/skills/book-sft-pipeline
# Cursor project-scoped install
mkdir -p .cursor/skills
cp -R examples/book-sft-pipeline .cursor/skills/book-sft-pipeline
# Codex / OpenAI Agent Skills install
mkdir -p .agents/skills
cp -R examples/book-sft-pipeline .agents/skills/book-sft-pipeline
Manual
Reference the examples/book-sft-pipeline/SKILL.md file directly only if your agent does not support the Agent Skills directory layout.
What's Included
book-sft-pipeline/
├── README.md # This file
├── SKILL.md # Complete skill documentation (standalone)
├── examples/
│ └── gertrude-stein/ # Complete case study with real outputs
│ ├── README.md # Results and analysis
│ ├── sample_outputs.md # Raw model outputs
│ ├── training_config.json
│ ├── dataset_sample.jsonl
│ └── pangram/ # AI detector screenshots
├── scripts/
│ └── pipeline_example.py # Conceptual implementation
└── references/
├── segmentation-strategies.md
├── tinker-format.md
└── tinker.txt
Key Results
Trained Qwen3-8B-Base on Gertrude Stein's "Three Lives" (1909):
| Metric | Value |
|---|---|
| Training examples | 592 |
| Loss reduction | 97% |
| Pangram AI detector | 70% Human |
| Training time | 15 minutes |
| Total cost | $2 |
Related Context Engineering Skills
This skill applies patterns from the Agent Skills for Context Engineering collection:
| Skill | Application |
|---|---|
| project-development | Staged pipeline architecture |
| context-compression | Segmentation strategy |
| multi-agent-patterns | Orchestrator pattern |
| evaluation | Modern scenario testing |
| context-fundamentals | Prompt diversity |
Resources
- Dataset on Hugging Face
- Research Paper (Chakrabarty et al. 2025)
License
MIT