Skill UI

This utility ensures that academic manuscripts adhere to specific journal house styles, such as the MIND Style. It handles complex citation mechanics, line numbering requirements for review copies, and the crucial process of anonymization for blind refereeing. Use it to audit your work's readiness for submission, guaranteeing consistency and compliance before the final draft.

This utility allows agents or desks to emit structured signals (e.g., hands-up, blocked, done, checkpoint) in JSON format. These signals are crucial for real-time dashboard consumption, providing the operator or coordinator with immediate, actionable insights into the work status, disagreement points, or required attention levels of various work units. It also supports optional 'outcome signals' for self-assessment calibration.

This utility packages multiple independent FHIR R4 resources into a single, valid Transaction Bundle. It automatically handles deterministic URN UUID generation and resolves internal cross-references, making the bundle immediately ready for POSTing to a FHIR server. This is crucial for maintaining data integrity and interoperability when submitting multiple related clinical resources.

This utility guides users in creating standardized and descriptive commit messages for staged changes using the Conventional Commits specification. It enforces structure, defining types (feat, fix, chore, etc.), scopes, and detailed body/footer requirements, ensuring a clear and maintainable project history.

This utility separates clinical entity extraction from clinical coding. It processes de-identified text, utilizing OpenMed to identify key clinical spans. These spans are then programmatically mapped into structured FHIR R4 resources (like Condition, Observation, and MedicationStatement) and assembled into a Bundle. This process ensures deterministic, standardized data output suitable for interoperability and medical record structuring.

This utility analyzes code changes within a branch compared to the base branch. It calculates a complexity score, detects scope coherence issues (warning if changes are too large or unrelated), and generates a fully structured Pull Request (PR) draft. It automates the creation of titles, comprehensive descriptions (including checklists and technical details), and even suggests splitting the PR into smaller, manageable units, significantly improving code review quality and efficiency.

This utility is essential for developers needing to ensure that recent code modifications function as intended. By running the application within a verification environment, users can quickly validate that the changes meet all expected behaviors, maintaining system stability and quality assurance before deployment or merging.

This utility is designed to safely read and display the contents of various configuration files. It is essential for inspecting settings, verifying file structure, and debugging without the risk of modifying any data. Simply provide the file path to view its contents.

This utility provides a straightforward mechanism for reading the contents of specified files and returning the data. It is ideal for quick file inspection, data validation, or integrating basic file content retrieval into automated scripts and workflows.

A utility designed to read the contents of local data files by specifying their file path. This tool is useful for quick data inspection, initial data loading, or preliminary analysis when a user needs to access raw information from various file formats (e.g., TXT, CSV).

This utility is designed to automatically generate professional, formatted reports from structured data sources. Users simply provide the designated data input, and the system handles the entire report generation process, ensuring high consistency and quality across all resulting documents. It is ideal for data analysts and business intelligence users who require standardized reporting.

This tool summarizes long documents into concise summaries using advanced NLP techniques entirely on your local machine. It ensures maximum data privacy as no external network connections or APIs are required, making it ideal for offline environments and sensitive data processing.