Skill UI

Creates detailed implementation plans for multi-step tasks by outlining file responsibilities, concrete coding/testing steps, and commit guidance so developers can execute with no prior context.

A crucial post-hoc review skill designed for AI-generated Markdown prose. It audits content against a comprehensive set of 21 stylistic and structural rules using both deterministic mechanical checks and deep semantic judgment. Users can audit a single file to get a detailed scorecard, or compare two drafts (A/B) for regression testing. Furthermore, it can optionally generate a polished, revised copy in a separate file, ensuring the integrity of the original document while significantly improving linguistic quality and adherence to style guides. Ideal for refining AI-written documentation, ...

This skill acts as a central router, helping users determine the correct specialized skill or workflow to tackle development challenges. It guides the entire software development lifecycle, from initial idea refinement (Idea -> Ship) and prototype testing, to managing complex multi-session builds and handling incoming bugs via triage. It is essential for navigating the vast ecosystem of AI coding agents.

This workflow is designed to rigorously stress-test any plan, design, or architectural concept before implementation. It acts as a demanding interviewer, asking deep, cascading questions one at a time to identify hidden dependencies, resolve ambiguities, and ensure comprehensive coverage. Use this when you need to validate a concept against all possible failure modes or explore every corner of a complex system design.

A detailed guide for researchers submitting papers to China Industrial Economics. It outlines the journal's specific focus on rigorous empirical evidence, policy evaluation, industrial organization, and the digital/regional economy. The guide emphasizes best practices for methodology (e.g., DID, event-study), robustness checks, mechanism testing, and ensuring actionable policy implications.

This guide helps scholars assess whether their literary or language-studies project meets the broad, general-interest standards of PMLA. It provides a detailed "fit test" framework, ensuring the work focuses on a significant problem, maintains broad scholarly interest, and presents a sustained argument rather than a descriptive survey. Useful for framing academic essays or deciding between different publication venues.

This tool acts as a comprehensive workflow router for manuscripts aiming for top-tier journals like Science. It doesn't write the content but guides the user through essential stages—from initial significance testing to final submission and rebuttal. It diagnoses bottlenecks and suggests the next specialized skill needed, ensuring the manuscript meets high standards for general interest and structure.