Case study
Book2Skill
A tool/skill for turning books and long-form knowledge sources into practical AI-agent skills.
From source material to an agent skill
Book2Skill helps turn a book, course, notes, or a long methodology article into an AI-agent skill. Its output is decision rules, workflows, checks, and boundaries rather than chapter summaries.
The process starts with the future skill’s job and source permissions. It extracts methods, examples, and anti-patterns into a specification. A durable repository-backed skill can also receive a delivery plan separating sources, knowledge, instructions, evaluation prompts, and release rules.
Contents and boundaries
The repository contains instructions, specification and plan templates, and an extractor for text and book formats. It uses available local tools and is not meant to install dependencies on its own.
Books and extraction artifacts are excluded from the public repository. Retaining full source text depends on permission. Long references stay separate from the concise main skill instructions.
The case relates to agent setup and reusable knowledge-based workflow design.