Skill UI

A comprehensive guide to implementing Clean Architecture patterns for both Android and Kotlin Multiplatform (KMP) projects. It covers robust module structuring, dependency inversion rules, defining UseCases and Repositories, and designing the data layer using technologies like Room, SQLDelight, and Ktor. Learn how to separate concerns, maintain platform independence, and manage complex data flows.

A comprehensive tool designed to audit and validate the structural integrity of a Domain-Driven Design (DDD) codebase. It detects cross-context import violations, checks for violations of aggregate invariant rules, and enforces naming conventions for domain events and repositories. Ideal for CI/CD gates and pre-merge code reviews to prevent architectural decay.

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 skill provides a comprehensive, read-only audit of a development workspace, including active repositories, installed plugins, connected services, and environment configurations. It analyzes existing capabilities against best practices to identify functional gaps and recommends the most valuable ECC-native skills, hooks, and workflows needed to enhance the development experience. Ideal for setup planning and architectural reviews.

A comprehensive security auditing tool designed to analyze codebases for vulnerabilities. It provides a structured workflow to scan entire repositories, review specific changes (like PR diffs or single commits), and suggest verified patch files. Findings are challenged by independent agents, ensuring that suggested fixes are targeted and require manual review before application.

This guide provides crucial advice for authors submitting to conferences with severe page limitations, such as DAC. It teaches the 'decision-criticality test' to help authors allocate content, ensuring that only core, review-mandated arguments remain in the main body, while supporting details and code can be moved to external repositories.

This guide provides comprehensive advice for positioning computer science manuscripts, particularly those involving software repository mining, developer behavior, and empirical methods, for the Mining Software Repositories (MSR) conference. It covers required elements like dataset construction, validity threat analysis, reproducible workflows, and aligning the work with the specific scope of software analytics venues, helping authors strategically re-frame their research for maximum impact.

This tool guides the accurate invocation of the `ov skills` command group for managing the entire skill lifecycle on OpenViking. It supports adding skills from local directories, Git repositories, or GitHub URLs, and provides commands for listing, searching, updating, removing, and validating skill formats. Use it when an agent needs to automate skill deployment or discover available capabilities.

A comprehensive guide for packaging robotic research artifacts (code, policies, ledgers, hardware specs) for peer review and public release. It details the necessary steps to ensure maximum reproducibility, auditability, and permanence, covering both anonymous review-time evidence and citable public repositories.

Scans your local machine's Git history to locate abandoned or unfinished side projects. It performs a deep 'autopsy' on these repositories, determining their causes of death (e.g., deployment fear, killed by newer ideas) and identifying personal developmental patterns. The tool then surfaces the most promising candidate for resurrection, helping you finally ship it.

Exa MCP provides advanced neural search capabilities across the web, specialized code repositories (like GitHub), and corporate/personnel databases. Use it for deep background research, finding the latest news, debugging complex code patterns, or conducting thorough market and competitor analysis.

This tool provides a preferred, end-to-end method for modifying code in real-world repositories. It simulates a professional development workflow: cloning the target repository, running changes on a dedicated task branch, and critically, verifying the implementation through an independent red $\to$ green $\to$ regression test loop. It is designed for fixing GitHub issues, implementing new features, or adding functions to existing codebases, ensuring the structural integrity and correctness of the changes.