Management Paper Strict Review
15-min method flaws check & writing task card
Description
Have you encountered these problems? ❌ You cited a seemingly authoritative paper, only to have reviewers question, 'This study has severe endogeneity issues.' ❌ When writing a literature review, you're unsure whether a paper's conclusions are trustworthy. ❌ After reading dozens of papers, you still don't know how to apply others' writing techniques to your own paper. ❌ Before submission, you want to check for methodological risks but don't know which hard flaws top journal reviewers focus on. This Skill helps you: ✅ Quick mode (15–25 min): Determine whether a paper is worth reading in depth and can be cited confidently. ✅ Deep mode (45–60 min): Check methodological flaws item by item like an AMJ/ASQ/SMJ reviewer. ✅ Quantitative credibility rating: 🔴 Not citable / 🟠 Use with caution / 🟡 Reference only / 🟢 Safe to cite – at a glance. ✅ Writing transfer task card: Turn techniques from others' papers into executable tasks for your own Introduction/Methods/Results/Discussion sections. Covers seven methodology types: Quantitative regression, experimental studies, quasi-experimental causal identification, fsQCA, case studies, grounded theory, mixed methods. Output includes: - Six-area deep reading (theoretical dialogue, mechanism pathways, construct operationalization, method-data fit, contribution critique, writing techniques) - P1/P2/P3 risk levels (fatal/important/arguable) - Counterfactual testing (can the model explain reverse scenarios?) - Boundary condition check (5 dimensions: market/regulation/capital/technology/competition) - Writing transfer task card (specific techniques directly applicable to your own paper) In a nutshell: It is not a gentle paper summarizer. It's a strict academic writing assistant that helps you discover, 'Where can't this paper be trusted? What is worth learning from it? How can I apply it to my paper?' Suitable for you if you are: 📚 PhD/master's students writing literature reviews 📝 Management researchers preparing submissions to top journals 🔍 Reviewers needing quick paper quality assessments 📖 Paper writers wanting to learn top journal writing techniques
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Paper Imitation & Pub. Expert
📚 Paper Imitation & Pub. Expert Develop an inspiring paper into your own high-quality original work step by step. Ideal for graduate students seeking to draw inspiration from excellent papers in other disciplines for topic migration, structural reconstruction, and submission optimization. 🔍 Inspiring Literature Identification: Analyze the reusable title mechanisms, problem awareness, chapter structure, theoretical framework, research methods, evidence organization, and language style of the model paper. 🔄 Interdisciplinary Paradigm Transfer: Build a 'source domain—target domain' transfer matrix to determine which ideas can be transferred and which theories, concepts, cases, and conclusions must be reconstructed. 🧠 Original Contribution Modeling: Identify literature gaps, distill core propositions and mechanisms, and check whether the paper merely changes the research object or applies a generic framework. 🧭 Research Design Planning: Supports theoretical research, case studies, qualitative research, quantitative research, literature reviews, policy text analysis, and mixed methods research. 🛡️ Real Evidence Gate: Do not fabricate data, samples, interviews, cases, statistical results, literature, or DOIs; without real evidence, do not generate false empirical conclusions. ✍️ Evidence-Driven Writing: Build argument chains via 'proposition—evidence—citation—rebuttal', generate original content chapter by chapter, and clearly mark research materials that need to be supplemented. 📈 Continuous Paper Evolution: Record each round of revisions, material gaps, and maturity changes according to L1 (topic conception), L2 (research plan), L3 (evidence formation), L4 (submission draft), and L5 (ready for submission). 🧑⚖️ Triple Simulation Review: Identify rejection risks from the perspectives of a theoretical reviewer, a method reviewer, and a target journal reviewer, and form specific revision strategies. 📨 Complete Submission Loop: Assist in generating the final paper, citation verification table, cover letter, innovation point statement, author response, revision index, and related declaration templates. ✨ Learn the paradigm, write original content, and enhance real submission competitiveness.
Proposal Readiness Checker
Before you spend dozens of hours writing your thesis, take ten minutes to run a structured checkup. This skill does only one thing: It diagnoses, not writes. It tells you whether your topic can hold up, whether your materials are sufficient, what's missing, where to fill the gaps, and in what order. Then it gives you an actionable missing-material checklist and search queries. It will not write your introduction, literature review, methods, or discussion. Four steps: 1. Discipline diagnosis: Classify your work into 1A Humanities/Arts, 1B Social Sciences, 2A Science/Engineering, or 2B Agriculture/Medicine/Life Sciences, and load the corresponding regulatory red lines; 2B triggers a mandatory ethics review block. 2. Topic checkup: Examine the topic from three dimensions—momentum, shape, and wording—to judge whether the research unit can be operationalized, whether the research question can be answered, and whether the topic has been done to death. 3. Material checkup: Register your existing literature into an M1/M2… material library, verify each entry against the four elements (author/year/title/verifiable locator), and compute the true coverage rate. 4. Gap list and search queries: Specify how many papers of what type are missing and which piece of evidence is lacking, and provide search queries ready to paste into databases (including Boolean keyword combinations, time ranges, and screening criteria). When to use it (trigger phrases): "Help me check my proposal" "Can this topic work?" "Do I have enough literature?" "My proposal was sent back" "I want to confirm before starting to write" — for graduate students who have just set a direction but haven't started writing; for those whose proposal was rejected but don't know why; for those with a pile of literature but unsure if it's enough to begin; for those wanting to confirm whether the topic is worth the investment before committing fully. Deliverables: A Proposal Checkup Report document + a Five-Source Readiness Scorecard (each level has behavioral criteria, not vague scoring) + a prioritized list of missing materials + search queries + an archive code. The archive code is compatible with the Academic Paper Full-Process Writing System v4.0; after the checkup, paste it there to continue writing without re-stating your discipline, topic, or journal. What this skill explicitly does not do: It does not write the main text, generate reference lists, or fabricate authors, years, volumes, issues, pages, or DOIs. Any literature found via online search is flagged with ⚠️ "needs verification" and must be verified by you before use. This skill does not promise any acceptance or passing outcome.
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A full-process academic paper writing system that combines the Five Sources model with the AFP 3.1 three-layer architecture. Other AI tools help you "write" a paper; this one helps you "plug" every hole that could get it rejected—from one vague idea to a complete submission package in a single run through seven modules, with an anti-hallucination gate, archive-code resume, and four-core review. [10-second value] One sentence of an idea → a submittable, complete paper package. Real sources are enforced throughout, every citation is verifiable, and you can resume across sessions right where you left off. [Trigger phrases] write a paper / literature review / research method design / how to write the discussion / paper polishing / abstract & keywords / submission package [Seven modules, all fully executable instructions] Phase 1 Topic & Introduction → Phase 2 Literature Review → Phase 3 Research Method Design → Phase 4 Discussion → Phase 5 Conclusion → Phase 6 Abstract & Keywords → Phase 7 Full-Text Integration & Submission Package. Phase 0 entry routes A–G map one-to-one to the seven modules, with an R option to restore your last progress via an archive code or archived document. [v4.1 upgrades] 1. Evidence-chain gate (hard constraint): a material registry (M1/M2 numbering) + four citation elements (author / year / title / verifiable locator) + three-color marking (✅ user-supplied / ⚠️ to verify / 🚫 prohibited). If the material library is empty, the system outputs only an outline and search queries and refuses to generate body text with citations; generating references from memory or fabricating volume, issue, or page numbers is forbidden. 2. Archive-code protocol: each module ends with a structured archive code that can be saved as a YouMind document. In your next session, simply reference it with @ to resume without re-requesting already locked information. 3. Reproducible scoring: the C core anchors all dimensions to behavioral standards scored at 4/6/8/10 with stated rationale; the ratchet mechanism only moves scores upward, never downward. 4. Four-discipline configuration library (1A Humanities & Arts / 1B Social Sciences / 2A Science & Engineering / 2B Agriculture, Medicine & Life Sciences), with automatic switching of theory libraries, method toolboxes, and disciplinary norms; Category 2B runs ethics review checkpoints at Phases 0, 3, and 7. 5. Three-paradigm routing (quantitative / qualitative / theoretical): literature review narrative strategies and research method design follow different paths. 6. Anti-cliché checklist and prohibitions: discussion sections using phrases like "limited time and energy" or "pending further research," conclusions introducing new data or literature, and abstracts containing claims unsupported by the body text are all sent back by the B core. 7. Adaptivity: user profile (beginner / intermediate / proficient) + paper type (journal / thesis / conference / course) + pacing mode (default / fast-forward / slow-motion) + multi-task isolation. 8. Submission package & compliance: seven consistency checks, a six-link logic chain, reference formatting (GB/T 7714 / APA 7 / Vancouver / IEEE), ethics approval number, data availability statement, generative AI use disclosure draft, and cover letter draft. [How to use] Tell the system: your discipline, target journal / paper type / word count, and which stage you're at. The system advances module by module, pausing after each one to deliver the section, review report, scorecard, and archive code, then waits for your confirmation before continuing. [Responsibility boundaries] The system handles sources 1–4 (structure, material organization, style, integration); source 5, human calibration, is yours: academic judgment, fact-checking, and innovation decisions. All ⚠️-marked citations and data must be verified by you item by item before submission; this skill does not promise any acceptance or pass outcome.
Management Paper Strict Review
15-min method flaws check & writing task card
Description
Have you encountered these problems? ❌ You cited a seemingly authoritative paper, only to have reviewers question, 'This study has severe endogeneity issues.' ❌ When writing a literature review, you're unsure whether a paper's conclusions are trustworthy. ❌ After reading dozens of papers, you still don't know how to apply others' writing techniques to your own paper. ❌ Before submission, you want to check for methodological risks but don't know which hard flaws top journal reviewers focus on. This Skill helps you: ✅ Quick mode (15–25 min): Determine whether a paper is worth reading in depth and can be cited confidently. ✅ Deep mode (45–60 min): Check methodological flaws item by item like an AMJ/ASQ/SMJ reviewer. ✅ Quantitative credibility rating: 🔴 Not citable / 🟠 Use with caution / 🟡 Reference only / 🟢 Safe to cite – at a glance. ✅ Writing transfer task card: Turn techniques from others' papers into executable tasks for your own Introduction/Methods/Results/Discussion sections. Covers seven methodology types: Quantitative regression, experimental studies, quasi-experimental causal identification, fsQCA, case studies, grounded theory, mixed methods. Output includes: - Six-area deep reading (theoretical dialogue, mechanism pathways, construct operationalization, method-data fit, contribution critique, writing techniques) - P1/P2/P3 risk levels (fatal/important/arguable) - Counterfactual testing (can the model explain reverse scenarios?) - Boundary condition check (5 dimensions: market/regulation/capital/technology/competition) - Writing transfer task card (specific techniques directly applicable to your own paper) In a nutshell: It is not a gentle paper summarizer. It's a strict academic writing assistant that helps you discover, 'Where can't this paper be trusted? What is worth learning from it? How can I apply it to my paper?' Suitable for you if you are: 📚 PhD/master's students writing literature reviews 📝 Management researchers preparing submissions to top journals 🔍 Reviewers needing quick paper quality assessments 📖 Paper writers wanting to learn top journal writing techniques
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View allPaper Imitation & Pub. Expert
📚 Paper Imitation & Pub. Expert Develop an inspiring paper into your own high-quality original work step by step. Ideal for graduate students seeking to draw inspiration from excellent papers in other disciplines for topic migration, structural reconstruction, and submission optimization. 🔍 Inspiring Literature Identification: Analyze the reusable title mechanisms, problem awareness, chapter structure, theoretical framework, research methods, evidence organization, and language style of the model paper. 🔄 Interdisciplinary Paradigm Transfer: Build a 'source domain—target domain' transfer matrix to determine which ideas can be transferred and which theories, concepts, cases, and conclusions must be reconstructed. 🧠 Original Contribution Modeling: Identify literature gaps, distill core propositions and mechanisms, and check whether the paper merely changes the research object or applies a generic framework. 🧭 Research Design Planning: Supports theoretical research, case studies, qualitative research, quantitative research, literature reviews, policy text analysis, and mixed methods research. 🛡️ Real Evidence Gate: Do not fabricate data, samples, interviews, cases, statistical results, literature, or DOIs; without real evidence, do not generate false empirical conclusions. ✍️ Evidence-Driven Writing: Build argument chains via 'proposition—evidence—citation—rebuttal', generate original content chapter by chapter, and clearly mark research materials that need to be supplemented. 📈 Continuous Paper Evolution: Record each round of revisions, material gaps, and maturity changes according to L1 (topic conception), L2 (research plan), L3 (evidence formation), L4 (submission draft), and L5 (ready for submission). 🧑⚖️ Triple Simulation Review: Identify rejection risks from the perspectives of a theoretical reviewer, a method reviewer, and a target journal reviewer, and form specific revision strategies. 📨 Complete Submission Loop: Assist in generating the final paper, citation verification table, cover letter, innovation point statement, author response, revision index, and related declaration templates. ✨ Learn the paradigm, write original content, and enhance real submission competitiveness.
Proposal Readiness Checker
Before you spend dozens of hours writing your thesis, take ten minutes to run a structured checkup. This skill does only one thing: It diagnoses, not writes. It tells you whether your topic can hold up, whether your materials are sufficient, what's missing, where to fill the gaps, and in what order. Then it gives you an actionable missing-material checklist and search queries. It will not write your introduction, literature review, methods, or discussion. Four steps: 1. Discipline diagnosis: Classify your work into 1A Humanities/Arts, 1B Social Sciences, 2A Science/Engineering, or 2B Agriculture/Medicine/Life Sciences, and load the corresponding regulatory red lines; 2B triggers a mandatory ethics review block. 2. Topic checkup: Examine the topic from three dimensions—momentum, shape, and wording—to judge whether the research unit can be operationalized, whether the research question can be answered, and whether the topic has been done to death. 3. Material checkup: Register your existing literature into an M1/M2… material library, verify each entry against the four elements (author/year/title/verifiable locator), and compute the true coverage rate. 4. Gap list and search queries: Specify how many papers of what type are missing and which piece of evidence is lacking, and provide search queries ready to paste into databases (including Boolean keyword combinations, time ranges, and screening criteria). When to use it (trigger phrases): "Help me check my proposal" "Can this topic work?" "Do I have enough literature?" "My proposal was sent back" "I want to confirm before starting to write" — for graduate students who have just set a direction but haven't started writing; for those whose proposal was rejected but don't know why; for those with a pile of literature but unsure if it's enough to begin; for those wanting to confirm whether the topic is worth the investment before committing fully. Deliverables: A Proposal Checkup Report document + a Five-Source Readiness Scorecard (each level has behavioral criteria, not vague scoring) + a prioritized list of missing materials + search queries + an archive code. The archive code is compatible with the Academic Paper Full-Process Writing System v4.0; after the checkup, paste it there to continue writing without re-stating your discipline, topic, or journal. What this skill explicitly does not do: It does not write the main text, generate reference lists, or fabricate authors, years, volumes, issues, pages, or DOIs. Any literature found via online search is flagged with ⚠️ "needs verification" and must be verified by you before use. This skill does not promise any acceptance or passing outcome.
ResearchAcademic Paper Writing v4.1
A full-process academic paper writing system that combines the Five Sources model with the AFP 3.1 three-layer architecture. Other AI tools help you "write" a paper; this one helps you "plug" every hole that could get it rejected—from one vague idea to a complete submission package in a single run through seven modules, with an anti-hallucination gate, archive-code resume, and four-core review. [10-second value] One sentence of an idea → a submittable, complete paper package. Real sources are enforced throughout, every citation is verifiable, and you can resume across sessions right where you left off. [Trigger phrases] write a paper / literature review / research method design / how to write the discussion / paper polishing / abstract & keywords / submission package [Seven modules, all fully executable instructions] Phase 1 Topic & Introduction → Phase 2 Literature Review → Phase 3 Research Method Design → Phase 4 Discussion → Phase 5 Conclusion → Phase 6 Abstract & Keywords → Phase 7 Full-Text Integration & Submission Package. Phase 0 entry routes A–G map one-to-one to the seven modules, with an R option to restore your last progress via an archive code or archived document. [v4.1 upgrades] 1. Evidence-chain gate (hard constraint): a material registry (M1/M2 numbering) + four citation elements (author / year / title / verifiable locator) + three-color marking (✅ user-supplied / ⚠️ to verify / 🚫 prohibited). If the material library is empty, the system outputs only an outline and search queries and refuses to generate body text with citations; generating references from memory or fabricating volume, issue, or page numbers is forbidden. 2. Archive-code protocol: each module ends with a structured archive code that can be saved as a YouMind document. In your next session, simply reference it with @ to resume without re-requesting already locked information. 3. Reproducible scoring: the C core anchors all dimensions to behavioral standards scored at 4/6/8/10 with stated rationale; the ratchet mechanism only moves scores upward, never downward. 4. Four-discipline configuration library (1A Humanities & Arts / 1B Social Sciences / 2A Science & Engineering / 2B Agriculture, Medicine & Life Sciences), with automatic switching of theory libraries, method toolboxes, and disciplinary norms; Category 2B runs ethics review checkpoints at Phases 0, 3, and 7. 5. Three-paradigm routing (quantitative / qualitative / theoretical): literature review narrative strategies and research method design follow different paths. 6. Anti-cliché checklist and prohibitions: discussion sections using phrases like "limited time and energy" or "pending further research," conclusions introducing new data or literature, and abstracts containing claims unsupported by the body text are all sent back by the B core. 7. Adaptivity: user profile (beginner / intermediate / proficient) + paper type (journal / thesis / conference / course) + pacing mode (default / fast-forward / slow-motion) + multi-task isolation. 8. Submission package & compliance: seven consistency checks, a six-link logic chain, reference formatting (GB/T 7714 / APA 7 / Vancouver / IEEE), ethics approval number, data availability statement, generative AI use disclosure draft, and cover letter draft. [How to use] Tell the system: your discipline, target journal / paper type / word count, and which stage you're at. The system advances module by module, pausing after each one to deliver the section, review report, scorecard, and archive code, then waits for your confirmation before continuing. [Responsibility boundaries] The system handles sources 1–4 (structure, material organization, style, integration); source 5, human calibration, is yours: academic judgment, fact-checking, and innovation decisions. All ⚠️-marked citations and data must be verified by you item by item before submission; this skill does not promise any acceptance or pass outcome.
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