Patent Reply Asst (High Grant)
Description
This skill provides you with a high-quality draft response to patent office actions. It applies the three-step method framework to automatically identify the closest prior art, extract distinguishing technical features, reconstruct the actual technical problem solved, and generate a logically rigorous and persuasive opinion statement draft. Whether responding to invention patent office actions, defending against obviousness rejections, or quickly organizing argument materials, it significantly improves your response quality and efficiency, giving you an edge in negotiations with examiners. Install now and let AI become your powerful assistant on the patent battlefield. Simply upload the patent text, office action, and prior art documents. Input the command: 'Please help me respond to this office action'.
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Patent Assistant
label: Patent Assistant description: Provides full-process patent support for R&D staff, covering 5 major scenarios: (1) Writing invention disclosure documents, (2) Writing Chinese invention patent application documents, (3) Patent search and novelty check (generate Chinese and English search keywords + IPC suggestions), (4) Responding to Office Actions (OA), (5) Chinese-English patent translation. Trigger keywords: patent, disclosure, claims, specification, patent search, novelty check, office action, OA, PCT, patent translation, food patent, process patent, packaging patent, formula patent, device patent.
SCI Rebuttal Generator
At the final stage of SCI paper publication, properly handling peer review comments is crucial. When facing a Major Revision or harsh review comments, authors often spend significant effort deciphering the reviewer's intent and crafting a response in rigorous, appropriate academic English. A single misstep in tone, logic, or format in the rebuttal letter can trigger negative emotions from reviewers, leading to eventual rejection and severely delaying research dissemination. This skill is specifically designed for graduate students, university faculty, and researchers, built on established best practices from top international journals and academic publishing standards. Simply input the reviewer's original comment and briefly describe your actual response in Chinese (no matter how straightforward), and the engine will automatically restructure the logic to generate: ✅ Academic Tone Restructuring: Convert plain Chinese ideas into objective, humble, and professional top-tier academic English, avoiding misunderstandings due to language habits. ✅ Standardized Point-by-Point Response: Strictly follow the point-by-point response paradigm favored by top international journals, with clear structure for rapid verification by editors and reviewers. ✅ Multi-Scenario Strategy Matching: Includes 5 professional response strategies (accept suggestion and revise, agree but need extensive revision, acknowledge limitations, define research scope, politely refute), providing airtight defensive phrasing. ✅ Taboo Expression Filter: Automatically identify and correct implied offensive expressions in rebuttals (like 'obviously', 'the reviewer is wrong'), ensuring tone remains appropriate. [Use Case Demo] 📝 Your Input: Reviewer's Comment: The experimental method is somewhat outdated. Why not use the latest Method X? Your Chinese Idea: Method X is indeed new, but it doesn't suit the specific materials of this study, and current experimental conditions cannot realize it. I have already added an explanation in the discussion section for why the current method was chosen. ✨ AI-Generated Top-Tier Response: Reviewer's Comment: The experimental method is somewhat outdated. Why not use the latest Method X? Author's Response: We are grateful for this insightful suggestion. While we recognize the value of Method X as a highly advanced approach, it falls outside the primary focus of the current study because our material system requires specific characterization conditions that Method X does not currently support. We have explicitly discussed this methodological choice and its rationale in the revised manuscript (Discussion Section, Page 8, Lines 234-241) to clarify this point. Action Taken: Added a new paragraph in the Discussion section (Page 8) explaining the rationale for the chosen method. [Academic Integrity Commitment] This skill strictly adheres to academic ethics: it does not fabricate references, invent experimental data, or make academic judgments for you. All response strategies are reconstructed based on the real information you provide; AI is only responsible for language restructuring and logical optimization. When your input is insufficient to generate a complete response, AI will clearly indicate what needs to be supplemented, never making up scientific reasons on its own. [Scope of Application] SCI / SSCI / EI journal revision submissions, conference paper rebuttals, peer review communications. Eliminate cross-language communication barriers, reduce energy loss during revision. Hand over the tedious response work to AI, allowing you to focus on research itself. Help your academic work achieve acceptance!
All-in-One Review Response V3.0
A full-process system for responding to peer review comments in social sciences and economics/management academic papers — from comment analysis, strategy formulation, and hard flaw defense to one-click assembly of a Rebuttal Letter. V3.0 Core Upgrades: · Governance layer: unified dashboard + 3 step modes (Standard/Fast/Slow) + ratchet version management + mid-process join logic · All 12 quick commands implemented (/quick /jump /skip /rerun /export /resume /tone /hardcase /conflict /cover /draft /lang) · Cross-step comment tracking table: tracks the status of each comment from Step 1 to Step 6 for closed-loop management · Complete library of 7 hard flaw diagnostics + subfield adaptation (Accounting/Finance/Management/Marketing/Labor Economics/Macroeconomics/Qualitative Research) · Full language pair support: Chinese→English / English→English / Chinese→Chinese, with automatic detection of review comment language · New revision Cover Letter generation + summary table of changes · Tone calibration system upgrade: forbidden expression list (20 items) + auto-correction + politeness score · Enhanced safety boundaries: anti-hallucination citation check + anti-overpromising check + AI-generated content transparency statement Applicable scenario: One-stop response writing for PhD students and early-career researchers in social sciences and management after receiving review comments.
Patent Reply Asst (High Grant)
Description
This skill provides you with a high-quality draft response to patent office actions. It applies the three-step method framework to automatically identify the closest prior art, extract distinguishing technical features, reconstruct the actual technical problem solved, and generate a logically rigorous and persuasive opinion statement draft. Whether responding to invention patent office actions, defending against obviousness rejections, or quickly organizing argument materials, it significantly improves your response quality and efficiency, giving you an edge in negotiations with examiners. Install now and let AI become your powerful assistant on the patent battlefield. Simply upload the patent text, office action, and prior art documents. Input the command: 'Please help me respond to this office action'.
Related Skills
View allPatent Assistant
label: Patent Assistant description: Provides full-process patent support for R&D staff, covering 5 major scenarios: (1) Writing invention disclosure documents, (2) Writing Chinese invention patent application documents, (3) Patent search and novelty check (generate Chinese and English search keywords + IPC suggestions), (4) Responding to Office Actions (OA), (5) Chinese-English patent translation. Trigger keywords: patent, disclosure, claims, specification, patent search, novelty check, office action, OA, PCT, patent translation, food patent, process patent, packaging patent, formula patent, device patent.
SCI Rebuttal Generator
At the final stage of SCI paper publication, properly handling peer review comments is crucial. When facing a Major Revision or harsh review comments, authors often spend significant effort deciphering the reviewer's intent and crafting a response in rigorous, appropriate academic English. A single misstep in tone, logic, or format in the rebuttal letter can trigger negative emotions from reviewers, leading to eventual rejection and severely delaying research dissemination. This skill is specifically designed for graduate students, university faculty, and researchers, built on established best practices from top international journals and academic publishing standards. Simply input the reviewer's original comment and briefly describe your actual response in Chinese (no matter how straightforward), and the engine will automatically restructure the logic to generate: ✅ Academic Tone Restructuring: Convert plain Chinese ideas into objective, humble, and professional top-tier academic English, avoiding misunderstandings due to language habits. ✅ Standardized Point-by-Point Response: Strictly follow the point-by-point response paradigm favored by top international journals, with clear structure for rapid verification by editors and reviewers. ✅ Multi-Scenario Strategy Matching: Includes 5 professional response strategies (accept suggestion and revise, agree but need extensive revision, acknowledge limitations, define research scope, politely refute), providing airtight defensive phrasing. ✅ Taboo Expression Filter: Automatically identify and correct implied offensive expressions in rebuttals (like 'obviously', 'the reviewer is wrong'), ensuring tone remains appropriate. [Use Case Demo] 📝 Your Input: Reviewer's Comment: The experimental method is somewhat outdated. Why not use the latest Method X? Your Chinese Idea: Method X is indeed new, but it doesn't suit the specific materials of this study, and current experimental conditions cannot realize it. I have already added an explanation in the discussion section for why the current method was chosen. ✨ AI-Generated Top-Tier Response: Reviewer's Comment: The experimental method is somewhat outdated. Why not use the latest Method X? Author's Response: We are grateful for this insightful suggestion. While we recognize the value of Method X as a highly advanced approach, it falls outside the primary focus of the current study because our material system requires specific characterization conditions that Method X does not currently support. We have explicitly discussed this methodological choice and its rationale in the revised manuscript (Discussion Section, Page 8, Lines 234-241) to clarify this point. Action Taken: Added a new paragraph in the Discussion section (Page 8) explaining the rationale for the chosen method. [Academic Integrity Commitment] This skill strictly adheres to academic ethics: it does not fabricate references, invent experimental data, or make academic judgments for you. All response strategies are reconstructed based on the real information you provide; AI is only responsible for language restructuring and logical optimization. When your input is insufficient to generate a complete response, AI will clearly indicate what needs to be supplemented, never making up scientific reasons on its own. [Scope of Application] SCI / SSCI / EI journal revision submissions, conference paper rebuttals, peer review communications. Eliminate cross-language communication barriers, reduce energy loss during revision. Hand over the tedious response work to AI, allowing you to focus on research itself. Help your academic work achieve acceptance!
All-in-One Review Response V3.0
A full-process system for responding to peer review comments in social sciences and economics/management academic papers — from comment analysis, strategy formulation, and hard flaw defense to one-click assembly of a Rebuttal Letter. V3.0 Core Upgrades: · Governance layer: unified dashboard + 3 step modes (Standard/Fast/Slow) + ratchet version management + mid-process join logic · All 12 quick commands implemented (/quick /jump /skip /rerun /export /resume /tone /hardcase /conflict /cover /draft /lang) · Cross-step comment tracking table: tracks the status of each comment from Step 1 to Step 6 for closed-loop management · Complete library of 7 hard flaw diagnostics + subfield adaptation (Accounting/Finance/Management/Marketing/Labor Economics/Macroeconomics/Qualitative Research) · Full language pair support: Chinese→English / English→English / Chinese→Chinese, with automatic detection of review comment language · New revision Cover Letter generation + summary table of changes · Tone calibration system upgrade: forbidden expression list (20 items) + auto-correction + politeness score · Enhanced safety boundaries: anti-hallucination citation check + anti-overpromising check + AI-generated content transparency statement Applicable scenario: One-stop response writing for PhD students and early-career researchers in social sciences and management after receiving review comments.
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