Skill UI

Read-only diagnosis for OpenViking memory issues: trace backward from a memory file to its archive memory_diff.json, then to session messages when needed. Use it for incorrect content, wrong paths or owners, missing memories, and unexplained updates or deletes.

Search and read biomedical papers, regulatory documents, clinical trials, and protein databases via the Paperclip CLI, with semantic search, SQL, map/reduce, and line-pinned citations.

Query live genomic surveillance data via GenSpectrum LAPIS API to identify circulating viral lineages, growth rates, and mutations. Essential for determining current pathogen states like dominant SARS-CoV-2 variants or influenza clades, ensuring accuracy beyond static knowledge cutoffs. Supports multiple pathogens including SARS-CoV-2, Influenza, and RSV.

Apply Martin Fowler-inspired enterprise architecture rules when choosing layers, service layers, transaction scripts, domain models, repositories, mappers, or DTOs. Helps structure enterprise applications with proven patterns.

This skill provides a stable standalone fixture for Qoder, allowing users to inspect the active project using standard QwenPaw tools. It is designed for developers to verify project status and structure without external dependencies. Ideal for debugging and project analysis tasks.

This portable skill enables the AI to utilize standard file tools to examine and analyze the current project structure. It allows for inspecting code files, configuration settings, and documentation directly within the workspace. This fixture skill ensures stability and reliability when performing file-based operations during development tasks.

Apply Martin Fowler-inspired refactoring rules to improve existing code structure while preserving observable behavior. Covers code smells, small safe refactoring steps, test-backed cleanup, and separating refactoring from feature changes.

This skill applies Refactoring.Guru-inspired rules for diagnosing code smells and selecting appropriate refactoring techniques. It helps preserve behavior while avoiding uncontrolled redesign. Before making design or code decisions, read the mini rules first. Use the full guide only as a deeper reference when needed. It ensures targeted cleanup without over-engineering.

Apply Michael T. Nygard-inspired production reliability rules when designing failure handling, timeouts, retries, circuit breakers, observability, or deployment behavior.

Combines welfare readouts such as weight loss, temperature, clinical scores and biomarkers into a single RELSA severity score per animal per day, with kernel-density attention/danger zones and ARIMA-based forecasting of upcoming humane endpoints for 3Rs refinement reporting.

This skill helps maintainers verify reported bugs in the mcp-toolbox project. It involves analyzing issue reports, checking versions and configurations, and attempting local reproduction to determine if the bug is real, fixed, or misconfigured. The process requires citing specific evidence like file paths and commit SHAs to support verdicts such as confirmed, already-fixed, or client-side issues. It ensures efficient bug triage without unnecessary infrastructure setup.

Sweeps googleapis/mcp-toolbox for issues and PRs with no real activity in N days, classifies each silence as the author's, maintainer's, or nobody's, and drafts nudge or close comments for maintainer review only.