Patent Reply Asst (High Grant)
Patent Reply Asst (High Grant)
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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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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!
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.
HE Document Write&Review v3.0
🎯 Got your application rejected? Can't find the highlight for your proposal? Don't know where to start with review comments? Three real scenarios: 🔸 Scenario 1: Application season anxiety—Reviewer feedback: "Insufficient theoretical support, vague policy basis." Unsure which documents to cite or which theoretical framework to use. 🔸 Scenario 2: Proposal writing dilemma—In charge of course construction plan: objectives, tasks, pathways, evaluation… each part needs writing, but you feel the logic is not rigorous enough and worry about being questioned on "feasibility" during review. 🔸 Scenario 3: Review dilemma—Need to write peer review comments: must point out issues while maintaining professionalism, be well-founded but not too harsh. How to strike the balance? 💡 What can this system do for you? Not just give advice—it writes, revises, and reviews for you directly. 📝 Writing Mode: From topic to final document Enter your topic and existing materials. The system automatically identifies the document type (application/proposal/report/review). Automatically matches authoritative policy documents and theoretical support. Generates content chapter by chapter, each with evidence, logic, and facts. Key promise: Never fabricates data; clearly tells you what's missing. 🔍 Review Mode: Expert-level diagnosis Upload your text. Professional scoring across 7 dimensions (value, alignment, completeness, innovation, feasibility, support, expression quality). Precisely identifies problem areas. Provides specific revision suggestions + example rewrites. Not general advice, but paragraph-level specific guidance. ✏️ Revision Optimization Mode: Precision enhancement Strengthens arguments based on existing text. Optimizes expression, eliminates empty talk and clichés. Standardizes terminology and logic. Improves overall competitiveness. ⚡ Three Core Mechanisms (Unique) 🛡️ Firewall Mechanism Built-in "fact boundary": User-provided real data is never fabricated; policy basis must have sources; theoretical support cannot be misapplied. Every sentence you see can be traced back to its source. 🔄 Multi-core Adversarial Engine One core writes, another specifically checks for errors. Like having a strict auditor watching, ensuring no "unsubstantiated facts," "logic gaps," or "policy mismatches" occur. 📊 Stepwise Guidance Doesn't ask you 20 questions at once—identifies the most critical gaps and asks only the 3–5 most necessary questions. After each stage, clearly tells you "what's done," "what's missing," and "what to do next." 🎯 Scope of Application (All Higher Education Scenarios) ✅ Teaching achievement award applications (institutional/provincial/national) ✅ Quality engineering project applications (top courses/teaching teams/textbooks, etc.) ✅ Course construction plans, major construction plans ✅ Major self-assessment reports, course acceptance reports ✅ Expert review comments, peer reviews ✅ Education reform project applications, closing reports 🚀 User Experience Writing an application from scratch: Provide the topic and basic materials → System identifies document type, takes inventory, matches policies and theories → Generates outline → Writes chapter by chapter → Consolidates → Get a draft in 1 hour. Reviewing existing text: Upload document → System automatically scores → Lists main issues → Provides revision suggestions and example rewrites → Get review report in 20 minutes. Optimizing existing plan: Provide existing text and optimization direction → System diagnoses weaknesses → Strengthens arguments, optimizes expression → Get optimized version in 30 minutes. 👉 Try it now—make higher education document writing no longer a burden. This is not just a writing assistant; it's an intelligent engine that understands higher education rules, review standards, and professional expression.
Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
