Review Agent Prompt Coach
Make tacit grading explicit for AI review.
Description
Why we love this skill
This skill transforms teachers' implicit experience into explicit rules. Through interview-style dialogue, it not only generates directly deployable assignment grading agent prompts, but also provides platform orchestration setup solutions to ensure accurate and stable grading results.
Through interview-style dialogue, step by step extract and externalize the grading and evaluation criteria that teachers 'know in their minds but can't articulate'. This helps teachers write a complete prompt for an assignment grading agent that can be directly deployed on agent platforms (Kouzi/Coze, Dify, Yuanshi, etc.), including quantitative scoring, heuristic qualitative feedback, a format compliance checklist, multiple rounds of iteration, and a closing growth commentary, along with deployment instructions. The generated evaluation criteria can also be submitted to WORKBUDDY to form a review SKILL. Invoke that SKILL to have WORKBUDDY automatically grade assignments, especially ill-structured ones.
Related Skills
View all
AI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
WriteIntelligent Teaching Feedback
"The criticism is on the tip of your tongue. How do you turn it into feedback that students are willing to listen to, take in, and actually use?" This is the question every mentor asks themselves during late-night reflections. Have you been in this situation? You know what the problem is, but you also know: once hurtful words are spoken, the student will shrink back for the rest of the day. Saying nothing isn't an option. Saying too much isn't good either. Saying too little and you risk not getting through. "Intelligent Teaching Feedback" is designed for this dilemma. All you need to do is describe what happened in a sentence or two, and it will automatically: 🧠 Choose the most suitable feedback model from six professional frameworks: COIN, SBI, Pendleton, NVC, Sandwich, and GROW 🎯 Generate a script you can say directly—conversational, warm, and specific to the event 🛡️ Ensure criticism is wrapped in a constructive framework that protects student self-esteem and inspires self-drive 🔄 Offer alternative options so you have choices and confidence. It doesn't speak for you—it helps you think clearly about how to say something so it truly reaches your students. Clinical teaching, classroom theory, skills training—it automatically adapts to different feedback styles in various fields. Safety issues are never compromised, and novice students are never discouraged. From now on, every piece of feedback is an empowerment, not a blow.
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.
Review Agent Prompt Coach
Make tacit grading explicit for AI review.
Description
Why we love this skill
This skill transforms teachers' implicit experience into explicit rules. Through interview-style dialogue, it not only generates directly deployable assignment grading agent prompts, but also provides platform orchestration setup solutions to ensure accurate and stable grading results.
Through interview-style dialogue, step by step extract and externalize the grading and evaluation criteria that teachers 'know in their minds but can't articulate'. This helps teachers write a complete prompt for an assignment grading agent that can be directly deployed on agent platforms (Kouzi/Coze, Dify, Yuanshi, etc.), including quantitative scoring, heuristic qualitative feedback, a format compliance checklist, multiple rounds of iteration, and a closing growth commentary, along with deployment instructions. The generated evaluation criteria can also be submitted to WORKBUDDY to form a review SKILL. Invoke that SKILL to have WORKBUDDY automatically grade assignments, especially ill-structured ones.
Related Skills
View allAI Prompt Optimization Expert
The AI Prompt Optimization Expert focuses on improving prompt quality through a systematic framework, helping you convey your intent precisely and making AI output more stable and predictable. Whether you need to refine existing prompts, build complex task descriptions from scratch, or find professional templates for specific scenarios, this skill provides comprehensive support. It can not only restructure vague requests into structured prompts, but also identify and fix common logical flaws through a diagnostic process. The skill includes a variety of proven optimization frameworks and can flexibly switch strategies based on the nature of the task. For example, for formal documents and professional content, it strengthens the background and audience dimensions; while for code generation or data processing tasks, it focuses more on role definition and specific constraints. In this way, it ensures every prompt has a clear goal, a defined style, and a well-structured output format. In addition, it covers specialized templates for a wide range of high-frequency scenarios, from copywriting and data analysis to technical documentation. You can directly use these proven structures and quickly fill in key details such as core selling points, data descriptions, or reader background. During optimization, the skill also checks against a quality checklist and uses multiple iterations and side-by-side comparisons to help you master essential prompt engineering techniques, significantly reducing communication costs and boosting productivity.
WriteIntelligent Teaching Feedback
"The criticism is on the tip of your tongue. How do you turn it into feedback that students are willing to listen to, take in, and actually use?" This is the question every mentor asks themselves during late-night reflections. Have you been in this situation? You know what the problem is, but you also know: once hurtful words are spoken, the student will shrink back for the rest of the day. Saying nothing isn't an option. Saying too much isn't good either. Saying too little and you risk not getting through. "Intelligent Teaching Feedback" is designed for this dilemma. All you need to do is describe what happened in a sentence or two, and it will automatically: 🧠 Choose the most suitable feedback model from six professional frameworks: COIN, SBI, Pendleton, NVC, Sandwich, and GROW 🎯 Generate a script you can say directly—conversational, warm, and specific to the event 🛡️ Ensure criticism is wrapped in a constructive framework that protects student self-esteem and inspires self-drive 🔄 Offer alternative options so you have choices and confidence. It doesn't speak for you—it helps you think clearly about how to say something so it truly reaches your students. Clinical teaching, classroom theory, skills training—it automatically adapts to different feedback styles in various fields. Safety issues are never compromised, and novice students are never discouraged. From now on, every piece of feedback is an empowerment, not a blow.
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.
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