Chinese Jargon & SVO Review
Remove jargon and clarify who does what.
Description
Rewrites Chinese materials that “sound professional but leave readers unsure who needs to do what” into language readers can understand, act on, and verify directly. It applies to reports, proposals, notices, articles, product documentation, project updates, policy training, customer service content, official WeChat articles, and AI-generated text, with a focus on Chinese jargon, vague slogans, abstract nouns, and writer-centered framing. Without changing facts, quantities, dates, names, scope, the strength of conclusions, or the boundaries of the evidence, this Skill turns difficult-to-act-on phrases such as “empower,” “strengthen management,” “drive implementation,” “close the loop,” and “align through collaboration” into more specific people, actions, objects, conditions, and outcomes. It also checks whether key sentences clearly state the subject, action, and object, so readers know who is responsible for what, what is affected, and how to determine whether the work is complete. When necessary, it retains specialized terms from regulations, standards, and products while adding explanations in plain language. The output typically includes a ready-to-use rewrite, the key changes that affect understanding, and any people responsible, timelines, data, evidence, or specialized definitions that cannot be confirmed from the original. It does not invent information or rewrite suggestions, records, or system statuses as facts that are completed, resolved, or verified. It is suited to writers, editors, and business teams who want to improve the readability, accuracy, and actionability of Chinese materials.
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WriteAIGC Reduction & Rewrite v7.0
📚 Academic Paper AIGC Reduction and Quality-Preserving Rewriting Expert v7.0 Designed for graduate students, researchers, and paper authors, this academic text optimization skill operates on a core closed loop of 'source control → process correction → result verification → reverse self-check → iterative re-check'. It systematically diagnoses and optimizes issues such as templated expressions, mechanical logic, vague content, inaccurate terminology, and style inconsistencies while preserving original meaning, technical terms, data, and core conclusions. 🔍📝 🌟 Core Capabilities 🔬 Multi-layer Risk Diagnosis Covers 10 types of universal text fingerprints and assists in identifying common expression patterns of models such as ChatGPT, Claude, DeepSeek, and Wenxin Yiyan. 🧠 Deep Semantic Restructuring Goes beyond synonym replacement to rebuild more natural and in-depth academic reasoning by adjusting proposition expression, information order, argument approach, and evidence organization. ✍️ Quality-Preserving Rewriting Comprehensively applies 13 sentence transformation strategies and 20 methods for cleaning high-frequency templated expressions, improving mechanical sentence structures, repetitive connectors, and overly rigid formatting. 📊 Full-text Structure Diagnosis Through macro-cycle and five key triangles, checks whether research problems, theory, literature review, methods, results, conclusions, and innovation form a complete closed loop. 🧩 Fine-grained Section Adaptation Develops differentiated diagnostic and rewriting strategies for abstract, introduction, literature review, research methods, results, discussion, and conclusion respectively. 🌐 Cross-language Risk Scanning Assists in identifying translationese, passive voice stacking, long sentence nesting, and mixed Chinese-English formatting abnormalities to make Chinese academic expression more natural and accurate. 🔄 Reverse Self-check Loop After rewriting, re-verifies from three aspects: technique distribution, new text fingerprints, and information integrity, to avoid 'becoming more templated' or losing key content. 🛡️ Academic Integrity Protection Does not fabricate literature, data, cases, or policy evidence; separately marks information requiring author verification and reminds users to honestly disclose AI usage. 🎯 Use Cases ✅ Single paragraph or partial section optimization ✅ Targeted modification of marked paragraphs from inspection reports ✅ Polishing of abstract, introduction, literature review, discussion, and conclusion ✅ Full-text AIGC risk feature diagnosis ✅ Language and structure adaptation for target journals ✅ Pre-submission quality review and consistency check 📦 Final Deliverables 📄 Quality-preserving rewritten text 🔎 Risk and issue diagnosis report 🛠️ Rewriting strategy and technique description ✅ Reverse self-check and information integrity report 💡 Items requiring author verification and subsequent revision suggestions 🎓 Original meaning preserved · Logic intact · No fabricated data · Academic quality maintained ⚠️ This skill aims to improve academic expression quality and reduce text risk features. It does not guarantee passage through any specific detection platform or achieving a particular detection score.
WriteHuman-Voice WeChat Writing
Turn a trending event, social phenomenon, workplace or relationship topic, personal experience, industry observation, product material, or existing draft into a WeChat Official Account article with a clear position, genuine emotion, and strong shareability. It doesn’t stop at the safe, even-handed “everyone has a point.” Instead, it helps you find an angle that fits your target readers, identify the real conflicts and pain points, and use specific scenes, everyday details, and memorable judgments to make the article sound like it was written by a real person with experience and preferences—someone who also acknowledges the limits of their understanding. Along with a publish-ready draft, it also organizes the creative decisions, title directions, and article’s core points. It prepares authorial responses for real-world comment scenarios, including challenges to the facts, opposing views, personal experience sharing, and quotes taken out of context, making it easier to handle discussion after publication. For trending topics, controversial events, and high-risk subjects such as law, medicine, and finance, it distinguishes known facts, reasonable inferences, and the author’s judgments, avoids fabricated information, and flags areas that still need sources or verification. It’s suited to WeChat Official Account writers, independent media editors, and content teams creating social commentary, workplace perspectives, relationship and emotional opinions, personal growth topics, and industry commentary. It’s especially useful when you want to move beyond detached “both-sides” writing and AI-sounding prose without relying on personal attacks, exaggerating facts, or creating needless conflict to gain attention.
CSSCI & Core Journal Paper Polish
When writing academic papers, have you ever been troubled by how to eliminate AI writing traces and enhance the academic professionalism of the text? This tool is specifically designed for users submitting to Chinese core journals and CSSCI journals, aiming to provide journal-level deep refinement services. It systematically addresses common issues in papers such as AI tone, colloquial expressions, policy document style, low-level logical prompts, and unstable concepts, ensuring your manuscript is closer to the expression standard of mature scholars in core journal papers. Whether you submit the full paper, specific sections, abstract, title system, or typical problem sentences, this tool systematically optimizes around academic problem awareness, title system, concept stability, mechanism analysis, and argument chain. It restructures work-plan-style titles into conceptual, mechanistic, and structured academic expressions, unifies core terminology to avoid polysemy, and strengthens the argument chain, presenting a rigorous logical progression: "Problem Formulation—Theoretical Foundation—Intension Structure—Generation Mechanism—Analytical Framework—Action Field—Implementation Mechanism—Governance Boundary." This tool focuses on improving the academic quality of the paper, not simple text polishing. It will delete or rewrite AI meta-discourse, colloquial transitions, and self-explanatory writing processes, transforming material-style expressions like "service, empowerment, promotion" into academic mechanism analysis. During the refinement process, the tool strictly retains your original research topic, literature basis, and factual materials, never fabricating data or conclusions, ensuring academic integrity. Finally, you will obtain an academic manuscript with rigorous logic, precise expression, and meeting core journal publication requirements, effectively enhancing the competitiveness of your paper for publication.
Chinese Jargon & SVO Review
Remove jargon and clarify who does what.
Description
Rewrites Chinese materials that “sound professional but leave readers unsure who needs to do what” into language readers can understand, act on, and verify directly. It applies to reports, proposals, notices, articles, product documentation, project updates, policy training, customer service content, official WeChat articles, and AI-generated text, with a focus on Chinese jargon, vague slogans, abstract nouns, and writer-centered framing. Without changing facts, quantities, dates, names, scope, the strength of conclusions, or the boundaries of the evidence, this Skill turns difficult-to-act-on phrases such as “empower,” “strengthen management,” “drive implementation,” “close the loop,” and “align through collaboration” into more specific people, actions, objects, conditions, and outcomes. It also checks whether key sentences clearly state the subject, action, and object, so readers know who is responsible for what, what is affected, and how to determine whether the work is complete. When necessary, it retains specialized terms from regulations, standards, and products while adding explanations in plain language. The output typically includes a ready-to-use rewrite, the key changes that affect understanding, and any people responsible, timelines, data, evidence, or specialized definitions that cannot be confirmed from the original. It does not invent information or rewrite suggestions, records, or system statuses as facts that are completed, resolved, or verified. It is suited to writers, editors, and business teams who want to improve the readability, accuracy, and actionability of Chinese materials.
Related Skills
View allWriteAIGC Reduction & Rewrite v7.0
📚 Academic Paper AIGC Reduction and Quality-Preserving Rewriting Expert v7.0 Designed for graduate students, researchers, and paper authors, this academic text optimization skill operates on a core closed loop of 'source control → process correction → result verification → reverse self-check → iterative re-check'. It systematically diagnoses and optimizes issues such as templated expressions, mechanical logic, vague content, inaccurate terminology, and style inconsistencies while preserving original meaning, technical terms, data, and core conclusions. 🔍📝 🌟 Core Capabilities 🔬 Multi-layer Risk Diagnosis Covers 10 types of universal text fingerprints and assists in identifying common expression patterns of models such as ChatGPT, Claude, DeepSeek, and Wenxin Yiyan. 🧠 Deep Semantic Restructuring Goes beyond synonym replacement to rebuild more natural and in-depth academic reasoning by adjusting proposition expression, information order, argument approach, and evidence organization. ✍️ Quality-Preserving Rewriting Comprehensively applies 13 sentence transformation strategies and 20 methods for cleaning high-frequency templated expressions, improving mechanical sentence structures, repetitive connectors, and overly rigid formatting. 📊 Full-text Structure Diagnosis Through macro-cycle and five key triangles, checks whether research problems, theory, literature review, methods, results, conclusions, and innovation form a complete closed loop. 🧩 Fine-grained Section Adaptation Develops differentiated diagnostic and rewriting strategies for abstract, introduction, literature review, research methods, results, discussion, and conclusion respectively. 🌐 Cross-language Risk Scanning Assists in identifying translationese, passive voice stacking, long sentence nesting, and mixed Chinese-English formatting abnormalities to make Chinese academic expression more natural and accurate. 🔄 Reverse Self-check Loop After rewriting, re-verifies from three aspects: technique distribution, new text fingerprints, and information integrity, to avoid 'becoming more templated' or losing key content. 🛡️ Academic Integrity Protection Does not fabricate literature, data, cases, or policy evidence; separately marks information requiring author verification and reminds users to honestly disclose AI usage. 🎯 Use Cases ✅ Single paragraph or partial section optimization ✅ Targeted modification of marked paragraphs from inspection reports ✅ Polishing of abstract, introduction, literature review, discussion, and conclusion ✅ Full-text AIGC risk feature diagnosis ✅ Language and structure adaptation for target journals ✅ Pre-submission quality review and consistency check 📦 Final Deliverables 📄 Quality-preserving rewritten text 🔎 Risk and issue diagnosis report 🛠️ Rewriting strategy and technique description ✅ Reverse self-check and information integrity report 💡 Items requiring author verification and subsequent revision suggestions 🎓 Original meaning preserved · Logic intact · No fabricated data · Academic quality maintained ⚠️ This skill aims to improve academic expression quality and reduce text risk features. It does not guarantee passage through any specific detection platform or achieving a particular detection score.
WriteHuman-Voice WeChat Writing
Turn a trending event, social phenomenon, workplace or relationship topic, personal experience, industry observation, product material, or existing draft into a WeChat Official Account article with a clear position, genuine emotion, and strong shareability. It doesn’t stop at the safe, even-handed “everyone has a point.” Instead, it helps you find an angle that fits your target readers, identify the real conflicts and pain points, and use specific scenes, everyday details, and memorable judgments to make the article sound like it was written by a real person with experience and preferences—someone who also acknowledges the limits of their understanding. Along with a publish-ready draft, it also organizes the creative decisions, title directions, and article’s core points. It prepares authorial responses for real-world comment scenarios, including challenges to the facts, opposing views, personal experience sharing, and quotes taken out of context, making it easier to handle discussion after publication. For trending topics, controversial events, and high-risk subjects such as law, medicine, and finance, it distinguishes known facts, reasonable inferences, and the author’s judgments, avoids fabricated information, and flags areas that still need sources or verification. It’s suited to WeChat Official Account writers, independent media editors, and content teams creating social commentary, workplace perspectives, relationship and emotional opinions, personal growth topics, and industry commentary. It’s especially useful when you want to move beyond detached “both-sides” writing and AI-sounding prose without relying on personal attacks, exaggerating facts, or creating needless conflict to gain attention.
CSSCI & Core Journal Paper Polish
When writing academic papers, have you ever been troubled by how to eliminate AI writing traces and enhance the academic professionalism of the text? This tool is specifically designed for users submitting to Chinese core journals and CSSCI journals, aiming to provide journal-level deep refinement services. It systematically addresses common issues in papers such as AI tone, colloquial expressions, policy document style, low-level logical prompts, and unstable concepts, ensuring your manuscript is closer to the expression standard of mature scholars in core journal papers. Whether you submit the full paper, specific sections, abstract, title system, or typical problem sentences, this tool systematically optimizes around academic problem awareness, title system, concept stability, mechanism analysis, and argument chain. It restructures work-plan-style titles into conceptual, mechanistic, and structured academic expressions, unifies core terminology to avoid polysemy, and strengthens the argument chain, presenting a rigorous logical progression: "Problem Formulation—Theoretical Foundation—Intension Structure—Generation Mechanism—Analytical Framework—Action Field—Implementation Mechanism—Governance Boundary." This tool focuses on improving the academic quality of the paper, not simple text polishing. It will delete or rewrite AI meta-discourse, colloquial transitions, and self-explanatory writing processes, transforming material-style expressions like "service, empowerment, promotion" into academic mechanism analysis. During the refinement process, the tool strictly retains your original research topic, literature basis, and factual materials, never fabricating data or conclusions, ensuring academic integrity. Finally, you will obtain an academic manuscript with rigorous logic, precise expression, and meeting core journal publication requirements, effectively enhancing the competitiveness of your paper for publication.
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