# 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: ```bash # 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](../../README.md) collection: | Skill | Application | |-------|-------------| | [project-development](../../skills/project-development/) | Staged pipeline architecture | | [context-compression](../../skills/context-compression/) | Segmentation strategy | | [multi-agent-patterns](../../skills/multi-agent-patterns/) | Orchestrator pattern | | [evaluation](../../skills/evaluation/) | Modern scenario testing | | [context-fundamentals](../../skills/context-fundamentals/) | Prompt diversity | ## Resources - [Dataset on Hugging Face](https://huggingface.co/datasets/MuratcanKoylan/gertrude-stein-style-sft) - [Research Paper](https://arxiv.org/pdf/2510.13939) (Chakrabarty et al. 2025) ## License MIT