Skill UI

Facilitates structured multi-perspective deliberation by simulating distinct thinking archetypes to surface tensions, risks, and actionable synthesis for difficult decisions, trade-offs, creative problems, and strategic choices.

This advanced trading journal captures the full context of a trade, recording not only the fill price and P&L, but also the initial thesis, the defined plan (stop/target), and the emotional state at the time of entry. It integrates with Notion to log and review trades, grading the quality of decisions and execution against the user's own plan, ensuring users learn from process, not just profit.

A specialized guide for structuring the policy implications section of high-level finance and trade economics manuscripts. It teaches authors how to move beyond vague suggestions, anchoring policy recommendations in concrete Chinese fiscal, financial, or trade policy tools, and linking them directly to the paper's empirical evidence and mechanisms.

This preflight checklist guides authors through the rigorous preparation required before submitting manuscripts to high-level academic journals, such as Finance & Trade Economics. It covers formatting standards, word count compliance, maintaining anonymity for blind review, proper citation practices, verifying data source rigor, and ensuring all required supplementary files are included, significantly improving submission readiness.

This workflow acts as a sophisticated router for academic manuscripts targeting high-level Chinese journals, specifically focusing on Finance and Trade Economics. It guides users through the entire writing lifecycle—from initial topic selection and literature review to rigorous econometrics (DID/IV/RDD), mechanism testing, and policy implication phrasing. When unsure of the next step or stuck on a bottleneck (e.g., weak identification, generic policy statements), it diagnoses the issue and directs the user to the most relevant specialized skill.

This skill serves as a trading journal integrated with Notion, capturing the decision process rather than just trade fills. It records thesis, plan, and emotions at entry, then reviews decision quality against the original plan instead of P&L. It manages trade logs, confirms details, and grades execution to improve trading discipline.

Convene a four-voice AI council — Architect, Skeptic, Pragmatist and Critic — to surface tradeoffs and structured dissent on ambiguous decisions before you choose a path or make a go/no-go call.