Skill UI

This skill guides authors on meeting stringent academic requirements for manuscript submission, specifically addressing the mandatory replicability standard set by The Journal of Politics (JOP). Acceptance is strictly contingent on providing a complete, documented, and executable package. The required materials include the dataset(s), master code, codebook, and a comprehensive readme file, ensuring that any published finding can be independently verified and reproduced by a journal analyst. It also provides guidelines for handling restricted data.

This is a comprehensive, final preflight checklist designed for submitting scientific manuscripts to PNAS. It guides authors through every critical stage, including assessing broad significance, choosing the correct submission track, optimizing the abstract and significance statement, verifying data integrity, handling ethics approvals, and ensuring all required files and metadata are compliant. It acts as a single gatekeeper before submission.

A comprehensive guide for packaging and submitting artifacts for Information Retrieval (IR) conferences (like SIGIR). It details the strict requirements for reproducibility, including mandatory components like TREC-format run files, qrels, and index recipes. The process covers repository structure, anonymization for review, handling data provenance, and ensuring that results can be audited by any reviewer using standard community tooling.

This comprehensive pre-upload audit guide ensures submissions meet the strict technical and anonymity requirements for UAI OpenReview. It covers critical aspects like the 8-page main body constraint, combining all content into a single PDF, handling file size caps (15MB/50MB), and performing an identity sweep to maintain double-blind review standards.

Astropy is the essential Python package for astronomical research and data analysis. It provides a comprehensive suite of tools for handling celestial coordinate transformations (e.g., ICRS, Galactic), managing physical units and quantities, processing FITS files, performing complex cosmological calculations, and ensuring precise time handling. It is indispensable for any project involving scientific data in the field of astronomy and astrophysics.

This tool audits and validates all Claude Code hooks defined across your settings files. It checks for validity, performance safety, correct event scoping, and proper exit-code handling (blocking vs. non-blocking). Essential for initial setup, debugging hooks that fail to fire, or performing routine system hygiene passes to ensure your agent's tool flow is robust and reliable.

This tool analyzes specified source code files or modules to automatically generate comprehensive and structured test suites. It identifies testable units (functions, classes, methods), adheres to project conventions (like AAA pattern), and ensures high coverage for critical scenarios, including happy paths, boundary edge cases, and error handling. It supports popular frameworks such as Jest, Vitest, and pytest.

Load and animate 3D models in Three.js using GLTFLoader. Supports skinned animations, compressed meshes (DRACO), and KTX2 textures. Use this when importing .gltf or .glb files into a web scene. Includes setting up AnimationMixer for playback and handling compressed asset decoders.

This skill guides developers to migrate .NET projects from checked-in .designer.cs files to using the Microsoft.CodeAnalysis.ResxSourceGenerator. It covers adding NuGet packages, removing generated designer files, updating MSBuild configurations, and handling special metadata like CustomToolNamespace.

Python SDK for transcribing authorized audio files with the azure-ai-transcription client, including timestamps, authentication options, and privacy-aware handling of transcripts and credentials.

Automate BambooHR HR operations through Rube MCP and Composio: search employees, track profile changes, manage time-off requests and balances, update employee records, and review dependents and benefits with safe data handling.

Essential Bash and Linux/macOS terminal patterns for command chaining, file and process management, text processing, networking, scripting, and robust error handling.