Wanwei Steel Writing Engine
Description
A narrative writing engine based on Wanwei Steel's cognitive arc, using the main narrative framework of 'make readers feel safe → prove you are right but not enough'. It integrates Mimeng-style story enhancement (scenario-based, story-first, case density) and Liu Run-style concept translation (analogy anchoring, transition precision, paragraph closure) to reorganize the narrative logic of a long draft that has completed style calibration. Delivered in two steps: first, output a restructured outline (with analysis of differences from the original), and after user confirmation, generate the complete restructured article.
Related Skills
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Gladwell-Style Narrative Engine
Based on Malcolm Gladwell's nonfiction narrative methodology, it restructures the narrative logic of a long-form draft that has already undergone style calibration. Without changing the author's persona tone, it prioritizes narrative tension by constructing counterintuitive hooks, modeling proxies, implanting interdisciplinary concepts, and using a five-act dramatic arc to transform a straightforward article into a deep long-read with strong suspense, character arcs, and cognitive gaps. Two-step delivery: first output a restructuring outline (with analysis of differences from the original), then generate the full restructured article after user confirmation.
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.
WriteViral Article Engine Pro
Viral Article Engine Pro turns fragmented ideas, source material, or trending topics into in-depth WeChat Official Account articles with strong sharing potential. It is more than a text-generation tool: it is a content-planning expert that understands both algorithms and people. It precisely identifies readers’ emotional pain points and combines styles such as counterintuitive insights, advanced ideas made accessible, and articulating what readers are feeling, giving every article a distinct human touch and social-sharing value. This Skill features a newly upgraded “Obscure/Clear Dual-Track Headline System” and “Source-Driven Opening Decision System.” The headline system intelligently determines whether an article should follow the semantic-obscure or explicit-benefit track, supported by a 12-question self-checklist to eliminate formulaic patterns and overused hooks readers have learned to ignore. The opening decision system uses six types of source material (R1–R6) to precisely select from ten opening types (A–J), with uniqueness checks and an information-debt mechanism to ensure that every article begins in a distinctive way and connects tightly with the main body. To fully eliminate the “AI flavor,” the engine includes strict rules for removing machine-like writing and an immunity blacklist. It rejects hollow grand narratives, mechanical parallel structures, and headline formulas readers have already seen through. Instead, it favors specific scenes and an authentic tone, explaining experience to readers in a clear, conversational way—like a friend breaking it down piece by piece. In the end, you’ll receive a complete work that includes headline decisions, opening decisions, the main body, and an engagement strategy, helping your article stand out in the race for attention on the WeChat Official Account platform.
Wanwei Steel Writing Engine
Description
A narrative writing engine based on Wanwei Steel's cognitive arc, using the main narrative framework of 'make readers feel safe → prove you are right but not enough'. It integrates Mimeng-style story enhancement (scenario-based, story-first, case density) and Liu Run-style concept translation (analogy anchoring, transition precision, paragraph closure) to reorganize the narrative logic of a long draft that has completed style calibration. Delivered in two steps: first, output a restructured outline (with analysis of differences from the original), and after user confirmation, generate the complete restructured article.
Related Skills
View allGladwell-Style Narrative Engine
Based on Malcolm Gladwell's nonfiction narrative methodology, it restructures the narrative logic of a long-form draft that has already undergone style calibration. Without changing the author's persona tone, it prioritizes narrative tension by constructing counterintuitive hooks, modeling proxies, implanting interdisciplinary concepts, and using a five-act dramatic arc to transform a straightforward article into a deep long-read with strong suspense, character arcs, and cognitive gaps. Two-step delivery: first output a restructuring outline (with analysis of differences from the original), then generate the full restructured article after user confirmation.
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.
WriteViral Article Engine Pro
Viral Article Engine Pro turns fragmented ideas, source material, or trending topics into in-depth WeChat Official Account articles with strong sharing potential. It is more than a text-generation tool: it is a content-planning expert that understands both algorithms and people. It precisely identifies readers’ emotional pain points and combines styles such as counterintuitive insights, advanced ideas made accessible, and articulating what readers are feeling, giving every article a distinct human touch and social-sharing value. This Skill features a newly upgraded “Obscure/Clear Dual-Track Headline System” and “Source-Driven Opening Decision System.” The headline system intelligently determines whether an article should follow the semantic-obscure or explicit-benefit track, supported by a 12-question self-checklist to eliminate formulaic patterns and overused hooks readers have learned to ignore. The opening decision system uses six types of source material (R1–R6) to precisely select from ten opening types (A–J), with uniqueness checks and an information-debt mechanism to ensure that every article begins in a distinctive way and connects tightly with the main body. To fully eliminate the “AI flavor,” the engine includes strict rules for removing machine-like writing and an immunity blacklist. It rejects hollow grand narratives, mechanical parallel structures, and headline formulas readers have already seen through. Instead, it favors specific scenes and an authentic tone, explaining experience to readers in a clear, conversational way—like a friend breaking it down piece by piece. In the end, you’ll receive a complete work that includes headline decisions, opening decisions, the main body, and an engagement strategy, helping your article stand out in the race for attention on the WeChat Official Account platform.
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