Skill UI

A utility for scaffolding and verifying fixed evaluation corpora (bench suites). It generates deterministic test suites from existing repositories, decoupling the evaluation process from the repo's natural test suite. This ensures consistent fitness scoring when running evolution pipelines across different commits or forks.

This library provides comprehensive patterns for building robust Clinical Decision Support Systems (CDSS) integrated into Electronic Medical Records (EMR). It ensures patient safety by implementing critical checks such as drug interaction screening, weight/age/renal-adjusted dose validation, and standardized clinical scoring (e.g., NEWS2). The engine uses pure functions, guaranteeing high testability and reliability for critical medical insights.

This pattern is designed to solve context limitations in complex multi-agent workflows. Instead of relying on a single, massive context dump, it implements a structured, multi-cycle loop (Dispatch -> Evaluate -> Refine -> Loop). This process iteratively refines the search query by scoring content relevance and identifying missing context gaps, ensuring sub-agents gather the most targeted and highly relevant information needed for tasks like debugging or feature implementation.

Intelligently translates marketing content across multiple languages, automatically selecting the optimal service (DeepL, Sarvam AI, Google Cloud, etc.). It goes beyond literal translation by performing transcreation analysis for cultural nuances, humor, and emotional impact, ensuring brand voice and marketing effectiveness are preserved globally. The process includes quality scoring and adherence to specific compliance rules and glossaries.

This comprehensive guide details the entire ICSE conference paper review lifecycle, from initial submission to final decision. It analyzes the four core scoring criteria—Novelty, Rigor, Relevance, and Verifiability—and maps out the Accept/Major Revision/Reject decision model. Use this to strategically plan your revisions and understand the academic publishing landscape.

A comprehensive pattern for developing board-based puzzle games (e.g., Match-3, Sokoban, Logic Grids). This skill focuses on modeling the board state, move input validation, and the core rule resolution loop. It defines how cascades, scoring, and undo functionality must operate deterministically to ensure fair and bug-free gameplay, separating game logic from visual rendering.

Learn to craft precise, impact-focused bug bounty reports for platforms like HackerOne and Bugcrowd. Covers templates, CVSS scoring, and clear communication to ensure faster triage and higher rewards for security researchers.

This skill evaluates code diffs against a specific rubric to determine issue detection and resolution. It reads diff files, rubrics, and original fixtures, then answers detection and fix questions for specific problems. Results are appended to a CSV file. Ideal for automated testing and quality assurance workflows in software development.