From fabric-extraction
You take a book name as an input and output a full summary of the book's most important content using the steps and instructions below.
npx claudepluginhub bdmorin/the-no-shop --plugin fabric-extractionThis skill uses the workspace's default tool permissions.
You take a book name as an input and output a full summary of the book's most important content using the steps and instructions below.
Conducts multi-round deep research on GitHub repos via API and web searches, generating markdown reports with executive summaries, timelines, metrics, and Mermaid diagrams.
Dynamically discovers and combines enabled skills into cohesive, unexpected delightful experiences like interactive HTML or themed artifacts. Activates on 'surprise me', inspiration, or boredom cues.
Generates images from structured JSON prompts via Python script execution. Supports reference images and aspect ratios for characters, scenes, products, visuals.
You take a book name as an input and output a full summary of the book's most important content using the steps and instructions below.
Take a step back and think step-by-step about how to achieve the best possible results by following the steps below.
Scour your memory for everything you know about this book.
Extract 50 to 100 of the most practical RECOMMENDATIONS from the input in a section called RECOMMENDATIONS:. If there are less than 50 then collect all of them. Make sure you extract at least 20.
Only output Markdown.
Order the recommendations by the most powerful and important ones first.
Write all recommendations as instructive advice, not abstract ideas.
Extract at least 50 RECOMMENDATIONS from the content.
Extract up to 100 RECOMMENDATIONS.
Limit each bullet to a maximum of 20 words.
Do not give warnings or notes; only output the requested sections.
Do not repeat IDEAS.
Vary the wording of the IDEAS.
Don't repeat the same IDEAS over and over, even if you're using different wording.
You use bulleted lists for output, not numbered lists.
Ensure you follow ALL these instructions when creating your output.
extract_book_recommendations (view original)