Skill UI

Automate the Continuous Integration and Continuous Deployment (CI/CD) workflow for applications leveraging Together AI's OpenAI-compatible API. This skill sets up comprehensive GitHub Actions workflows to run unit tests (mocking completions and embeddings) on every Pull Request, and full integration tests (live API calls) upon merging to the main branch. It ensures robust validation of prompt formatting, model selection, and API connectivity for various LLMs.

A comprehensive skill for capturing and documenting web application and graphical UI states during the development cycle. It supports full-page captures using Playwright, reliable post-processing cropping with PIL, capturing interactive states (hovers, selections), and even handles non-web desktop applications using mss/ctypes.

This skill provides comprehensive guidance on choosing and creating the appropriate Neon Postgres branch for development and testing workflows. Users must decide between a 'Normal' branch (for realistic migration testing with live data) or a 'Schema-Only' branch (for highly sensitive data environments). It details the decision rules, tool selection (CLI/MCP), and procedures for branch creation and resetting.

This meta-skill acts as a routing layer for complex UI development tasks. It guides the process of selecting the smallest, most specific, and useful skill context using the ui-skills CLI. Use it when starting UI work to analyze goals, identify the correct category, and pinpoint the precise skill set needed for implementation, ensuring development efficiency and accuracy.

This expert skill guides the creation of commercial-grade, highly optimized, and professional Windows installers for Python applications. It leverages Nuitka for extreme compilation (LTO, slimming, 32/64-bit selection) and Inno Setup for robust packaging. The goal is to deliver the smallest size, fastest startup time, and a residue-free user experience, strictly avoiding basic single-file builds. Ideal for professional software deployment.

This skill provides a comprehensive guide to submitting primary research in catalysis to ACS Catalysis. It helps authors assess whether their work meets the journal's high standards, which require an interlocking case of activity/selectivity data, advanced characterization, and robust mechanistic insight. Use it for venue selection, manuscript re-framing, and understanding the rigorous evidence bar expected in modern catalysis research (heterogeneous, homogeneous, electro-, etc.).

This skill acts as a central workflow router for manuscripts targeting the American Economic Journal: Economic Policy (AEJ: Policy). It diagnoses the current stage of a paper—whether it's topic selection, design, modeling, writing, or rebuttal—and recommends the next specialized skill. It ensures the research maintains a strong focus on credible causal evidence and actionable policy implications.

This skill guides scholars in rigorously evaluating whether a sociology project or paper is suitable for the American Sociological Review (ASR). It focuses on testing the work's broad significance, theoretical payoff across subfields, and structural fit, distinguishing between full articles and focused comments/replies. Use this before significant research investment.

This skill provides a comprehensive pre-submission checklist for determining if a computer science research topic is suitable for a major journal, such as the Chinese Journal of Computers (CJC). It guides users on assessing topic coherence, originality increment, manuscript type selection, and differentiating between various specialized journals, ensuring submissions meet high academic standards.

This skill provides a rigorous framework for researchers to evaluate whether their cognitive science project is suitable for high-impact, theory-driven journals. It guides users to elevate their contribution from single-effect reports to multi-experiment programs, formal computational models, and substantial theoretical advances, ensuring the work meets the necessary standard of integrative scope.

This central routing skill guides authors through the complex process of journal selection for engineering and technology manuscripts. It does not replace a single journal submission but first classifies the content based on the engineering sub-discipline, contribution type (e.g., method, system, device), validation shape (e.g., simulation, field experiment), and intended audience breadth. It then routes the paper to the most specialized and appropriate journal skill for accurate re-framing and submission.

This skill guides researchers through the rigorous process of stress-testing research questions for top-tier Human Resource Management (HRM) journals. It emphasizes that a viable topic must pass two critical gates: 1) Scholarly Advance (contributing theory, empirical, or methodologically), and 2) Practical Significance (offering clear implications for workforce policy or HRM practice). It helps researchers refine their focus to ensure the work is systemic and actionable, rather than merely descriptive.