PolyMarket Trend Scout （EN）
Uncover counterintuitive Polymarket signals for writers.
Featured by
nene@YouMind.AI
Why we love this skill
This skill uncovers Polymarket's counterintuitive signals, going beyond volume to reveal what the market knows that the media doesn't. It's a unique tool for writers seeking fresh, data-driven story angles.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
An English-language Bloomberg-terminal-style intelligence skill that scans live Polymarket order flow and turns counterintuitive prediction-market signals into 8–10 data-backed story narratives for English-language writers, journalists, and newsletter authors.
Related Skills
View allIn-depth reading guide
This command-driven reading project management system supports systematic book reading, in-depth paper analysis, paper lineage tracing, and mixed research data package management. Through structured commands, it helps users transform reading materials into learning projects that can be followed up, tested, flashcard-based, and adapted over time.
Star Path SSCI: A Complete Closed-Loop Publication System from Zero to Acceptance
This is a comprehensive practical system designed specifically for university teachers to publish SSCI papers. From topic selection and positioning, meticulous Chinese writing, professional English translation, advanced polishing, precise submission, to revision and iteration, it provides step-by-step solutions to core pain points such as difficulty in topic innovation, weak writing logic, poor English expression, blind submission, and inability to revise effectively. It is suitable for fields such as humanities, social sciences, education, and economics and management, and can be used by beginners. The entire process is standardized and implemented to help university teachers efficiently complete SSCI publications and meet the needs of professional title promotion, project completion, and research assessment.
National Natural Science Foundation of China (NSFC) Application Writing Coach (Enhanced Version)
Based on extensive experience in writing National Natural Science Foundation of China (NSFC) grant applications, numerous successful grant proposals, and five NSFC general program grant applications, this is a comprehensive interactive coach that combines the roles of a senior editor and an intercept-style reviewer. Upon launch, a concise questionnaire helps you understand your application category, research direction, existing topics, and resources. It supports two entry points: "Preliminary Topic" and "Only Vague Ideas." Your CV, existing text, and reviewer comments are categorized and organized for their respective purposes. The process progresses through nine stages, from topic selection to overall quality control. Each stage provides a readable draft, a record of progress, and self-assessment conclusions, along with a status dashboard showing the current progress and next steps. Built-in features include three-state literature annotation (verified, pending verification, placeholder), anti-drift triangular interlocking verification, high-risk wording interception (e.g., "first time" or "filling a gap" will be automatically rewritten or require supplementary documentation), five compliance self-checks, ethical writing categorization, and official outline anti-fabrication barriers. It also supports refining only a specific stage without affecting other finalized content. This is aimed at applicants who strive to write a work that is ready for submission on the first try and can withstand scrutiny from reviewers.
PolyMarket Trend Scout （EN）
Uncover counterintuitive Polymarket signals for writers.
Featured by
nene@YouMind.AI
Why we love this skill
This skill uncovers Polymarket's counterintuitive signals, going beyond volume to reveal what the market knows that the media doesn't. It's a unique tool for writers seeking fresh, data-driven story angles.
Instructions
The author has set the instructions to private. Below is a brief overview.
description
An English-language Bloomberg-terminal-style intelligence skill that scans live Polymarket order flow and turns counterintuitive prediction-market signals into 8–10 data-backed story narratives for English-language writers, journalists, and newsletter authors.
Related Skills
View allIn-depth reading guide
This command-driven reading project management system supports systematic book reading, in-depth paper analysis, paper lineage tracing, and mixed research data package management. Through structured commands, it helps users transform reading materials into learning projects that can be followed up, tested, flashcard-based, and adapted over time.
Star Path SSCI: A Complete Closed-Loop Publication System from Zero to Acceptance
This is a comprehensive practical system designed specifically for university teachers to publish SSCI papers. From topic selection and positioning, meticulous Chinese writing, professional English translation, advanced polishing, precise submission, to revision and iteration, it provides step-by-step solutions to core pain points such as difficulty in topic innovation, weak writing logic, poor English expression, blind submission, and inability to revise effectively. It is suitable for fields such as humanities, social sciences, education, and economics and management, and can be used by beginners. The entire process is standardized and implemented to help university teachers efficiently complete SSCI publications and meet the needs of professional title promotion, project completion, and research assessment.
National Natural Science Foundation of China (NSFC) Application Writing Coach (Enhanced Version)
Based on extensive experience in writing National Natural Science Foundation of China (NSFC) grant applications, numerous successful grant proposals, and five NSFC general program grant applications, this is a comprehensive interactive coach that combines the roles of a senior editor and an intercept-style reviewer. Upon launch, a concise questionnaire helps you understand your application category, research direction, existing topics, and resources. It supports two entry points: "Preliminary Topic" and "Only Vague Ideas." Your CV, existing text, and reviewer comments are categorized and organized for their respective purposes. The process progresses through nine stages, from topic selection to overall quality control. Each stage provides a readable draft, a record of progress, and self-assessment conclusions, along with a status dashboard showing the current progress and next steps. Built-in features include three-state literature annotation (verified, pending verification, placeholder), anti-drift triangular interlocking verification, high-risk wording interception (e.g., "first time" or "filling a gap" will be automatically rewritten or require supplementary documentation), five compliance self-checks, ethical writing categorization, and official outline anti-fabrication barriers. It also supports refining only a specific stage without affecting other finalized content. This is aimed at applicants who strive to write a work that is ready for submission on the first try and can withstand scrutiny from reviewers.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.
