Skill UI

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.

Synthea generates statistically realistic, fully synthetic patient records in multiple standards (FHIR R4, C-CDA, CSV). This tool is essential for developers and researchers needing safe, shareable test data for OpenMed pipelines, CI fixtures, or specialized de-identification leakage gate test sets. It ensures zero risk of exposing real Protected Health Information (PHI).

A comprehensive guide for performing reverse engineering using Ghidra. This skill is essential for scenarios where commercial tools like IDA are unavailable, or when performing large-scale, automated headless analysis. It covers the entire workflow, from project setup and function decompilation to advanced headless scripting and integration with other exploit tools.

This tool performs a comprehensive analysis of AI configuration file evolution within a Git repository. It tracks when specific AI configs were first introduced, charts monthly commit velocity related to AI features, highlights key PRs that shaped the development, and synthesizes the project's AI maturity phases. Ideal for mapping AI adoption timelines and assessing technical maturity.

A robust tool for batch cleanup of stale or merged Git worktrees. It automatically identifies and safely removes merged branches, calculates precise disk usage per worktree, and provides an interactive review process for unmerged or protected branches. Essential for maintaining clean repository environments.

This specialized skill provides a deep workflow for reverse engineering stripped Go and Rust binaries. It guides the recovery of lost runtime metadata, including symbols, pclntab data, and panic strings. The process addresses language-specific challenges, such as Go's interface structures and Rust's complex async state machines, serving as a crucial complement to general decompilers like IDA or Ghidra.

Automatically transforms raw CHANGELOG entries into polished, multi-format social media announcements. It generates content tailored for LinkedIn, Twitter/X, Newsletters, and Slack, supporting both English and French. Ideal for creating structured release notes, weekly summaries, and professional product announcements to boost developer visibility and user engagement.

Automatically updates an existing handoff document by merging the current session’s progress. It intelligently applies specific merge rules to different sections: appending new history to 'Work Done' and 'Discoveries', while replacing volatile sections like 'Status' and 'Next Steps' to reflect the most current state. This ensures a comprehensive, chronological record of project advancement.

A comprehensive skill for managing KubeSphere's external access gateway using ingress-nginx. It supports cluster, workspace, and project-level ingress setup, covering installation planning, status monitoring, upgrade management, and graceful uninstallation across multiple Kubernetes clusters.

This extension provides comprehensive management for external access using the standard Kubernetes Gateway API and Traefik as the underlying proxy. It supports multi-tenant scoping across cluster, workspace, and namespace levels, enabling robust, modern API gateway configuration within the KubeSphere ecosystem.

This skill generates complete, deploy-ready static landing pages by analyzing a source code repository. It reads key files (README.md, CHANGELOG.md, etc.), extracts structured content (features, installation guides, FAQ), and compiles it into a professional, responsive HTML/CSS/JS site. Ideal for standardizing open-source project showcases, converting technical documentation into marketing pages, or quickly building a project homepage.

This skill resolves entities extracted by OpenMed (e.g., Disease, Drug) to standardized Concept Unique Identifiers (CUIs) within the UMLS Metathesaurus. It is essential for cross-vocabulary normalization, allowing users to unify concepts (like SNOMED CT, ICD-10, RxNorm) to a single canonical CUI. Crucially, the process relies entirely on the user's own UTS API key, ensuring that the Metathesaurus content is never bundled or cached.