Tutorial & Handbook Workflow
Description
A one-stop book generation engine from research to finished book. Supports deep research, intelligent outlines, AI illustration generation, and professional typesetting, finally outputting complete book documents or web pages. Ideal for creating knowledge manuals, tutorials, booklets, and other content products.
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Publishing Skill
Transform scattered exercises, answers, handouts, and teaching notes into a well-structured, publication-ready supplementary book. This is not 'AI organizing your documents'. It is a five-step publishing-grade workflow: Data inventory and multi-source reading → Target book style analysis → Content integration and structure design → Chapter-by-chapter writing → Full book quality check and delivery. Each step involves professional judgment, not a one-time prompt generation. Core capabilities: • Multi-source data integration: Extract exercises, answers, knowledge points, and teaching sections from PDFs, images, and documents. Identify their relationships (which is the question, which is the answer, which is the style reference) and reorganize them into a complete book. • Internalized supplementary book structure: Built-in typical organization logic—knowledge point review → typical example explanation → leveled practice → answer key with detailed solutions → error analysis/reflection summary/guidance/multiple solution methods → rolling review. • Formula repair: Mathematical formulas extracted from PDFs may become garbled. The skill infers the original expression from context and rewrites it in standard LaTeX. This is one of the most painful parts of publishing supplementary books. • Question-answer matching and merging: Automatically match exercises and answers scattered across different files. Supports two organization modes: integrated instruction and practice, or separate question and answer sections. • Publication-grade structure: Output includes title page, preface, table of contents, chapter-by-chapter text (knowledge points + practice + detailed solutions + teaching sections), and afterword. Use cases: - Middle school math teachers organize years of accumulated exercise handouts into formal supplementary books. - Supplementary book authors/editors quickly integrate scattered materials into a manuscript. - Training institution internal handouts upgraded to standardized publications. Upload your materials, tell it the positioning of the target book, and let it handle the rest. The output is a high-quality Markdown manuscript, including preface, table of contents, chapter-by-chapter content, detailed solutions, and explanations.
ResearchKnowledge to Skill Packager
Transform any knowledge content (books, courses, methodologies, notes) into a reusable knowledge system. Supports three core capabilities: 1) Package knowledge from scratch into a Framework handbook or Prompt assistant document 2) Convert Framework/Prompt documents into a Skill directory structure 3) Optionally call the Skill Creator to register the Skill directory as a truly callable Skill. Triggers when users mention scenarios such as: packaging knowledge, building a knowledge base, creating a Framework, creating an expert assistant, creating a Prompt assistant, creating a conversational bot, using Engine A, using Engine B, organizing this methodology into something reusable, having AI learn my knowledge, turning a Framework into a Skill, turning a Prompt into a Skill, Skill-ization, converting into a Skill, how to have Claude automatically use my methodology, wanting to put my knowledge base into a Skill system. Also applicable to vague expressions: I have a lot of material I want to turn into reusable knowledge assets, I don't want to repeat explanations every time, help me turn this into a system, how can this methodology be automatically matched, make this md file into a Skill. Even if the user doesn't explicitly mention "packaging" or "Skill", as long as the essence of the problem is "turn knowledge into a reusable system", this Skill is triggered.
RED Viral AI Factory
Complete RED content production pipeline, covering the full workflow from topic collection and content breakdown to copywriting and image generation. Supports three modes: create from scratch, convert long-form content, and replicate viral hits. Automatically generates titles, multi-image captions, cover copy, hashtag suggestions, and images.
Tutorial & Handbook Workflow
Description
A one-stop book generation engine from research to finished book. Supports deep research, intelligent outlines, AI illustration generation, and professional typesetting, finally outputting complete book documents or web pages. Ideal for creating knowledge manuals, tutorials, booklets, and other content products.
Related Skills
View allPublishing Skill
Transform scattered exercises, answers, handouts, and teaching notes into a well-structured, publication-ready supplementary book. This is not 'AI organizing your documents'. It is a five-step publishing-grade workflow: Data inventory and multi-source reading → Target book style analysis → Content integration and structure design → Chapter-by-chapter writing → Full book quality check and delivery. Each step involves professional judgment, not a one-time prompt generation. Core capabilities: • Multi-source data integration: Extract exercises, answers, knowledge points, and teaching sections from PDFs, images, and documents. Identify their relationships (which is the question, which is the answer, which is the style reference) and reorganize them into a complete book. • Internalized supplementary book structure: Built-in typical organization logic—knowledge point review → typical example explanation → leveled practice → answer key with detailed solutions → error analysis/reflection summary/guidance/multiple solution methods → rolling review. • Formula repair: Mathematical formulas extracted from PDFs may become garbled. The skill infers the original expression from context and rewrites it in standard LaTeX. This is one of the most painful parts of publishing supplementary books. • Question-answer matching and merging: Automatically match exercises and answers scattered across different files. Supports two organization modes: integrated instruction and practice, or separate question and answer sections. • Publication-grade structure: Output includes title page, preface, table of contents, chapter-by-chapter text (knowledge points + practice + detailed solutions + teaching sections), and afterword. Use cases: - Middle school math teachers organize years of accumulated exercise handouts into formal supplementary books. - Supplementary book authors/editors quickly integrate scattered materials into a manuscript. - Training institution internal handouts upgraded to standardized publications. Upload your materials, tell it the positioning of the target book, and let it handle the rest. The output is a high-quality Markdown manuscript, including preface, table of contents, chapter-by-chapter content, detailed solutions, and explanations.
ResearchKnowledge to Skill Packager
Transform any knowledge content (books, courses, methodologies, notes) into a reusable knowledge system. Supports three core capabilities: 1) Package knowledge from scratch into a Framework handbook or Prompt assistant document 2) Convert Framework/Prompt documents into a Skill directory structure 3) Optionally call the Skill Creator to register the Skill directory as a truly callable Skill. Triggers when users mention scenarios such as: packaging knowledge, building a knowledge base, creating a Framework, creating an expert assistant, creating a Prompt assistant, creating a conversational bot, using Engine A, using Engine B, organizing this methodology into something reusable, having AI learn my knowledge, turning a Framework into a Skill, turning a Prompt into a Skill, Skill-ization, converting into a Skill, how to have Claude automatically use my methodology, wanting to put my knowledge base into a Skill system. Also applicable to vague expressions: I have a lot of material I want to turn into reusable knowledge assets, I don't want to repeat explanations every time, help me turn this into a system, how can this methodology be automatically matched, make this md file into a Skill. Even if the user doesn't explicitly mention "packaging" or "Skill", as long as the essence of the problem is "turn knowledge into a reusable system", this Skill is triggered.
RED Viral AI Factory
Complete RED content production pipeline, covering the full workflow from topic collection and content breakdown to copywriting and image generation. Supports three modes: create from scratch, convert long-form content, and replicate viral hits. Automatically generates titles, multi-image captions, cover copy, hashtag suggestions, and images.
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