Textbook Writer
Description
Why we love this skill
This skill is the 'Anti-AI' weapon for textbook creation. Through rigorous phased review and quality redline mechanisms, it ensures output content combines depth, practicality, and teaching rigor, making it the ideal choice for professional textbook authors.
A professional textbook writing system powered by a three-core collaborative engine (anti-AI monitoring, teaching audit, and deep writing). Supports chapter-by-chapter creation of large textbooks over 150,000 characters. Built with teaching effectiveness principles, the Ten Commandments of AI Flavor (Textbook Edition), a five-stage teaching node structure, and a strict gate progression mechanism, ensuring each chapter achieves 20,000–30,000 characters of knowledge, case, and practice density.
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ResearchTextbook & Monograph Writer
A chapter-by-chapter writing engine for textbooks and academic monographs, built on the AFP Super Prompt architecture. Supports undergraduate textbooks, graduate textbooks, academic monographs, popular science monographs, and more. Core capabilities include knowledge system development, terminology consistency management, academic citation standards, style and format consistency checks, and resuming from a saved point. It overcomes LLM context-window limits to enable continuous creation of long-form academic works.
ResearchTextbook Publishing Architect
A systematic workflow engine for textbook creation. Through a rigorous step-by-step mechanism, it guides users from defining teaching objectives, planning the textbook name, building the table of contents skeleton, to generating sample chapter blueprints, completing the full process of textbook publishing planning. Built-in dual-core adversarial engine that audits teachability and practicality in real time, ensuring output meets the textbook-level standards of 'teachable, learnable, and assessable'.
Academic Writing Engineering
An engineering collaborative agent for scholarly manuscript writing across disciplines, covering monographs, textbooks, chapters, institutional texts, management manuals, practical guides, and academic practice texts in natural sciences, engineering, humanities and social sciences, business, law, education, medicine, and more. It does not directly write the main text but follows a seven-stage engineering workflow: task scope diversion → outline lock-in → resource compilation → logical review → section-by-section writing → section-by-section confirmation → full-chapter consolidation. This ensures stable chapter structure, sufficient supporting references, consistent terminology, and precise, plain language, delivering robust manuscripts suitable for formal publication and core journal style. Core capabilities: • Four task scope types: full book / single chapter / outline only / special tasks (consolidation, de-AI rewriting, review response, etc.) • Three approaches for top-level outline: user-provided, system-designed, or editorial board style lock-in • Three differentiated options for second/third-level outlines (normative basic / logic-enhanced / practice-applied) plus a compound recommendation mechanism • LAF-7 seven-dimensional logical review (system completeness, hierarchy symmetry, sentence standardization, title conciseness, cross-chapter repetition rate, terminology standardization, publishing suitability) • Word count weight and title density matching to prevent fragmentation from overly dense third-level headings • Reference compilation and online verification (policies, standards, regulations, literature, cases, data) • Gated manuscript writing (refuses to write if any gate condition is not met) • Section-by-section writing, section-by-section confirmation, full-chapter consolidation and final review • Expert-level de-AI rewriting: diagnosis (generic words, sentence regularity, mechanical connectors, concept stacking, missing context, terminology drift) + rewriting (alternating long/short sentences, qualifiers, reduce template numbering, strengthen causal chains and logical closure) Discipline adaptation: Automatically switches to the corresponding discipline's language style based on the user's academic background and terminology system (e.g., STEM focuses on mechanisms and experiments, business on strategy and cases, law on statutes and precedents, education on theory and classrooms, medicine on evidence-based practice and procedures, etc.) without imposing a fixed disciplinary framework. Target audience: Authors of academic monographs, textbook editors, series editorial committee members, industry practitioners, graduate and doctoral supervisors, researchers and professionals undertaking the writing of management manuals, institutional compilations, and practical guides.
Textbook Writer
Description
Why we love this skill
This skill is the 'Anti-AI' weapon for textbook creation. Through rigorous phased review and quality redline mechanisms, it ensures output content combines depth, practicality, and teaching rigor, making it the ideal choice for professional textbook authors.
A professional textbook writing system powered by a three-core collaborative engine (anti-AI monitoring, teaching audit, and deep writing). Supports chapter-by-chapter creation of large textbooks over 150,000 characters. Built with teaching effectiveness principles, the Ten Commandments of AI Flavor (Textbook Edition), a five-stage teaching node structure, and a strict gate progression mechanism, ensuring each chapter achieves 20,000–30,000 characters of knowledge, case, and practice density.
Related Skills
View allResearchTextbook & Monograph Writer
A chapter-by-chapter writing engine for textbooks and academic monographs, built on the AFP Super Prompt architecture. Supports undergraduate textbooks, graduate textbooks, academic monographs, popular science monographs, and more. Core capabilities include knowledge system development, terminology consistency management, academic citation standards, style and format consistency checks, and resuming from a saved point. It overcomes LLM context-window limits to enable continuous creation of long-form academic works.
ResearchTextbook Publishing Architect
A systematic workflow engine for textbook creation. Through a rigorous step-by-step mechanism, it guides users from defining teaching objectives, planning the textbook name, building the table of contents skeleton, to generating sample chapter blueprints, completing the full process of textbook publishing planning. Built-in dual-core adversarial engine that audits teachability and practicality in real time, ensuring output meets the textbook-level standards of 'teachable, learnable, and assessable'.
Academic Writing Engineering
An engineering collaborative agent for scholarly manuscript writing across disciplines, covering monographs, textbooks, chapters, institutional texts, management manuals, practical guides, and academic practice texts in natural sciences, engineering, humanities and social sciences, business, law, education, medicine, and more. It does not directly write the main text but follows a seven-stage engineering workflow: task scope diversion → outline lock-in → resource compilation → logical review → section-by-section writing → section-by-section confirmation → full-chapter consolidation. This ensures stable chapter structure, sufficient supporting references, consistent terminology, and precise, plain language, delivering robust manuscripts suitable for formal publication and core journal style. Core capabilities: • Four task scope types: full book / single chapter / outline only / special tasks (consolidation, de-AI rewriting, review response, etc.) • Three approaches for top-level outline: user-provided, system-designed, or editorial board style lock-in • Three differentiated options for second/third-level outlines (normative basic / logic-enhanced / practice-applied) plus a compound recommendation mechanism • LAF-7 seven-dimensional logical review (system completeness, hierarchy symmetry, sentence standardization, title conciseness, cross-chapter repetition rate, terminology standardization, publishing suitability) • Word count weight and title density matching to prevent fragmentation from overly dense third-level headings • Reference compilation and online verification (policies, standards, regulations, literature, cases, data) • Gated manuscript writing (refuses to write if any gate condition is not met) • Section-by-section writing, section-by-section confirmation, full-chapter consolidation and final review • Expert-level de-AI rewriting: diagnosis (generic words, sentence regularity, mechanical connectors, concept stacking, missing context, terminology drift) + rewriting (alternating long/short sentences, qualifiers, reduce template numbering, strengthen causal chains and logical closure) Discipline adaptation: Automatically switches to the corresponding discipline's language style based on the user's academic background and terminology system (e.g., STEM focuses on mechanisms and experiments, business on strategy and cases, law on statutes and precedents, education on theory and classrooms, medicine on evidence-based practice and procedures, etc.) without imposing a fixed disciplinary framework. Target audience: Authors of academic monographs, textbook editors, series editorial committee members, industry practitioners, graduate and doctoral supervisors, researchers and professionals undertaking the writing of management manuals, institutional compilations, and practical guides.
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