College Thesis Revision
Description
Adopting the rigorous standards of an external reviewer, this skill helps teachers conduct a comprehensive review of college graduation theses, supporting revisions for both undergraduate and graduate papers. It packages the streamlined thesis revision process into an integrated skill. According to academic writing requirements, it performs in-depth chapter-by-chapter reviews, identifies issues in the thesis, and follows a three-stage zero-tolerance assumption principle to ensure that only real issues are raised, eliminating speculative suggestions. It precisely locates issues and prioritizes them. Each comment includes the original text citation, specific location, issue description, and revision suggestion. Review comments meet objectivity and constructiveness standards. Finally, it generates a review report.
Related Skills
View all
Nursing Thesis Pre-review Expert
Preparing to submit your undergraduate nursing thesis? Let this rigorous pre-review expert assist you. Designed specifically for nursing undergraduates and their advisors, this skill conducts a dual review of 'form and content' for cross-sectional survey papers, ensuring your thesis meets high standards before submission to your advisor. This expert strictly follows the EQUATOR International Reporting Guidelines (STROBE Statement) and school-based thesis writing standards, thoroughly reviewing your thesis from abstract, introduction, methods, results, to discussion and conclusion. It meticulously checks details such as P-value formatting, font specifications, citation superscripts, and corrects colloquial expressions to ensure professional and academically rigorous language. Additionally, it evaluates the practicality, innovation, and scientific validity of the introduction, and examines key methodological aspects such as inclusion/exclusion criteria, sample size calculation, data collection methods, and ethical review. For statistical analysis, whether multiple linear regression or logistic regression, the expert automatically determines the method and checks dummy variable settings, indicator completeness, etc., and prompts to avoid repeating results or including specific numbers in the conclusion. Finally, you will receive a detailed pre-review report clearly identifying issues needing correction and providing professional revision principles to help you craft a flawless nursing thesis.
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.
WriteFull-Process Academic Writing
"Full-Process Academic Writing" is an intelligent assistant tool designed for researchers, aimed at covering every stage of academic paper writing from initial conception to final submission. Whether you have just a vague research direction or have a draft that needs polishing, this tool provides systematic support to help you efficiently produce high-quality academic work. This tool guides you through four key stages. First is **Topic Planning**, which helps you refine preliminary ideas into concrete, feasible research topics and questions, and generates a comprehensive Topic Evaluation Report covering research framework, method matching, timeline planning, and resource bottleneck identification. Next is the **Literature Review** stage, assisting you in building search strategies, organizing core literature, and writing a logically rigorous literature review draft that identifies research gaps. The third stage is **Structured Writing**, where the tool designs a detailed paper outline based on your topic and literature review, and drafts the introduction, methods, body, and conclusions chapter by chapter, while also providing scientific chart code to ensure a complete structure and rigorous argumentation. Finally, the **Polishing and Revision** stage performs a comprehensive academic standard check, six-dimensional language polishing, and logical coherence review, and embeds an AI-assisted writing statement to ensure your final draft meets publishable professional standards. Throughout the writing process, this tool always adheres to academic ethics standards. All citations will be clearly flagged for verification and will never be fabricated. Output from each stage proceeds only after your confirmation, ensuring every step aligns with your research intent, allowing you to focus on expressing your ideas while leaving tedious formatting and standards to AI.
College Thesis Revision
Description
Adopting the rigorous standards of an external reviewer, this skill helps teachers conduct a comprehensive review of college graduation theses, supporting revisions for both undergraduate and graduate papers. It packages the streamlined thesis revision process into an integrated skill. According to academic writing requirements, it performs in-depth chapter-by-chapter reviews, identifies issues in the thesis, and follows a three-stage zero-tolerance assumption principle to ensure that only real issues are raised, eliminating speculative suggestions. It precisely locates issues and prioritizes them. Each comment includes the original text citation, specific location, issue description, and revision suggestion. Review comments meet objectivity and constructiveness standards. Finally, it generates a review report.
Related Skills
View allNursing Thesis Pre-review Expert
Preparing to submit your undergraduate nursing thesis? Let this rigorous pre-review expert assist you. Designed specifically for nursing undergraduates and their advisors, this skill conducts a dual review of 'form and content' for cross-sectional survey papers, ensuring your thesis meets high standards before submission to your advisor. This expert strictly follows the EQUATOR International Reporting Guidelines (STROBE Statement) and school-based thesis writing standards, thoroughly reviewing your thesis from abstract, introduction, methods, results, to discussion and conclusion. It meticulously checks details such as P-value formatting, font specifications, citation superscripts, and corrects colloquial expressions to ensure professional and academically rigorous language. Additionally, it evaluates the practicality, innovation, and scientific validity of the introduction, and examines key methodological aspects such as inclusion/exclusion criteria, sample size calculation, data collection methods, and ethical review. For statistical analysis, whether multiple linear regression or logistic regression, the expert automatically determines the method and checks dummy variable settings, indicator completeness, etc., and prompts to avoid repeating results or including specific numbers in the conclusion. Finally, you will receive a detailed pre-review report clearly identifying issues needing correction and providing professional revision principles to help you craft a flawless nursing thesis.
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.
WriteFull-Process Academic Writing
"Full-Process Academic Writing" is an intelligent assistant tool designed for researchers, aimed at covering every stage of academic paper writing from initial conception to final submission. Whether you have just a vague research direction or have a draft that needs polishing, this tool provides systematic support to help you efficiently produce high-quality academic work. This tool guides you through four key stages. First is **Topic Planning**, which helps you refine preliminary ideas into concrete, feasible research topics and questions, and generates a comprehensive Topic Evaluation Report covering research framework, method matching, timeline planning, and resource bottleneck identification. Next is the **Literature Review** stage, assisting you in building search strategies, organizing core literature, and writing a logically rigorous literature review draft that identifies research gaps. The third stage is **Structured Writing**, where the tool designs a detailed paper outline based on your topic and literature review, and drafts the introduction, methods, body, and conclusions chapter by chapter, while also providing scientific chart code to ensure a complete structure and rigorous argumentation. Finally, the **Polishing and Revision** stage performs a comprehensive academic standard check, six-dimensional language polishing, and logical coherence review, and embeds an AI-assisted writing statement to ensure your final draft meets publishable professional standards. Throughout the writing process, this tool always adheres to academic ethics standards. All citations will be clearly flagged for verification and will never be fabricated. Output from each stage proceeds only after your confirmation, ensuring every step aligns with your research intent, allowing you to focus on expressing your ideas while leaving tedious formatting and standards to AI.
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