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Plugin
book-training
Train LLMs to mimic specific author styles by converting ePub books into SFT datasets via text extraction, segmentation, and synthetic instructions, then fine-tune with LoRA, evaluate agent performance, design tools, compress contexts, and plan full projects.
$
npx claudepluginhub ericgrill/agents-skills-plugins --plugin book-trainingPopularity
Stars
Med: 0·Avg: 274
Installs
Med: 0·Avg: 1
What's Inside
Skills5
book-sft-pipeline
/book-sft-pipeline
End-to-end system for creating supervised fine-tuning datasets from books and training style-transfer models. Covers text extraction, intelligent segmentation, synthetic instruction generation, Tinker-compatible output, LoRA training, and validation.
context-compression
/context-compression
Design and evaluate context compression strategies for long-running agent sessions. Use when agents exhaust memory, need to summarize conversation history, or when optimizing tokens-per-task rather than tokens-per-request.
evaluation
/evaluation
Build evaluation frameworks for agent systems. Use when testing agent performance, validating context engineering choices, or measuring improvements over time.
project-development
/project-development
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
tool-design
/tool-design
Design tools that agents can use effectively, including when to reduce tool complexity. Use when creating, optimizing, or reducing agent tool sets.
The plugin manifest points to a different repository than the source indexed by ClaudePluginHub.
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Version1.0.0
LanguagePython
Stars15
Forks5
MaintenanceFair
LicenseMIT
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