Skill UI

A comprehensive, single-screen Kanban board prototype designed for visualizing agile project management and sprint tracking. It features distinct columns (Backlog, In Progress, Review, Done), draggable cards, assignee avatars, and advanced filtering options, making it ideal for managing product backlogs, simulating tools like Trello, or visualizing complex workflows.

This powerful tool compares identical tables across two SQL Server instances (e.g., Production vs. Staging). It efficiently detects missing rows, extra columns, schema drifts, and data mismatches. Leveraging Python and Apache Arrow for fast columnar data transfer, it provides a comprehensive reconciliation report, making it essential for data migration validation and ETL verification.

This skill generates comprehensive Entity Relationship Diagrams (ERDs) and database schemas as D2 source code from an existing Entity Framework Core codebase. It analyzes DbContexts, DbSet declarations, Fluent API mappings, and migrations to accurately visualize tables, columns, primary/foreign keys, relationships (including many-to-many joins), owned types, and constraints. The output is a structured .d2 file, suitable for rendering into SVG or PNG, helping developers document the persistence model.

This tool reads a CSV containing three columns (x, y_baseline, y_ours). It uses matplotlib to generate a two-line plot visualizing the results and saves the final output as a PDF file. It is specifically designed for visualizing performance comparisons in scientific papers.

An interactive workflow for auditing and standardizing naming conventions (tables, columns, measures) in Power BI semantic models (TMDL). It ensures names are human-readable, consistent, and aligned with core business terminology, addressing technical issues like abbreviations, mixed casing, and inappropriate technical prefixes.

A comprehensive skill to diagnose and fix excessive Postgres egress (network data transfer) that leads to high cloud database bills. It guides the user through using `pg_stat_statements` to identify the most data-intensive queries. Key fixes include limiting selected columns (avoiding SELECT *), implementing pagination (LIMIT/OFFSET), and identifying high-frequency data sources for caching.

A highly visual Kanban board template designed for agile project and workflow management, similar to Trello. It features four distinct columns (To Do, In Progress, In Review, Done) to track the lifecycle of tasks. Users can filter by assignee, label, and search, and optionally group cards using swimlanes for enhanced clarity during operational sprints and team coordination.

This tool automates the creation of new, sequentially numbered database migration scripts. It generates paired 'up' and 'down' SQL files for managing schema changes, such as creating tables, adding/modifying columns, or creating indexes. It ensures idempotency and maintains a consistent migration history.

A comprehensive guide for standardizing the presentation of findings in academic manuscripts, particularly for social science and public administration journals. It covers strict formatting rules for quantitative regression tables (three-line style, max 6 columns), variable definition sheets, qualitative data coding tables, and process/mechanism diagrams, ensuring methodological rigor and compliance with high publication standards.

This comprehensive audit checklist guides authors through the final pre-upload steps for major academic conferences like MobiCom. It covers critical areas including HotCRP site confirmation, adherence to strict formatting rules (columns, page limits), maintaining double-blind anonymity, and mitigating wireless-specific identity leaks to ensure a smooth and compliant submission process.

This guide provides comprehensive standards for formatting tables and figures for high-level academic journals. It details rigorous requirements, such as adhering to the three-line table format (booktabs), limiting columns, correctly placing standard errors, and ensuring figures meet minimum DPI and color constraints. Use this when transforming raw statistical outputs into publication-ready, professional content.

This tool de-identifies sensitive free-text columns (e.g., names, dates, identifiers) in local structured datasets (CSV, JSONL, Parquet) using advanced OpenMed models. It ensures strict privacy by generating a completely redacted dataset and a separate PHI-free aggregate summary, allowing for secure data sharing and analysis without compromising source privacy or logging sensitive values.