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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.

72

1.95x
Quality

61%

Does it follow best practices?

Impact

92%

1.95x

Average score across 3 eval scenarios

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./examples/book-sft-pipeline/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

88%

31%

Book Text Segmentation Module

Segmentation pipeline implementation

Criteria
Without context
With context

Min word count bound

0%

100%

Max word count bound

0%

100%

Paragraph boundary splitting

100%

100%

Overlap implementation

0%

0%

Tier 2 for oversized paragraphs

100%

100%

Validation function present

100%

100%

Sentence completeness check

0%

100%

chunks.json produced

100%

100%

Chunk count reasonable

100%

100%

No mid-sentence breaks in output

100%

100%

90%

27%

Author Style Dataset Builder

Diverse instruction dataset generation

Criteria
Without context
With context

15+ prompt templates

40%

100%

5+ system prompts

100%

100%

Cheap LLM for instructions

100%

100%

Instructions don't quote text

90%

100%

Messages format

0%

100%

2 variants per chunk

83%

100%

Rotating template selection

100%

100%

Test set of 50+ documented

0%

0%

dataset_stats.json present

100%

100%

Assistant content is book text

33%

100%

100%

77%

Style Model Training and Validation Pipeline

LoRA training configuration and validation

Criteria
Without context
With context

Base model name

0%

100%

LoRA rank 32

0%

100%

Learning rate 5e-4

0%

100%

3 training epochs

100%

100%

Tinker API used

50%

100%

cross_entropy loss

0%

100%

AdamParams optimizer

0%

100%

save_weights_for_sampler_async

0%

100%

Modern scenario test prompts

0%

100%

Originality check via text search

100%

100%

AI detector integration

0%

100%

Repository
muratcankoylan/Agent-Skills-for-Context-Engineering
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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