Skill UI

This skill is designed to assist developers in debugging complex code issues. It analyzes detailed error messages, stack traces, and common error types (like TypeError or ReferenceError) to accurately pinpoint the root cause of bugs. It provides a structured, step-by-step report including specific fix suggestions and proactive prevention strategies.

A comprehensive guide for integrating Microsoft Graph SDK into applications. It covers accessing Microsoft 365 data (users, mail, calendar, Teams, SharePoint) from various languages (.NET, Python, TypeScript). Key topics include robust authentication patterns (Managed Identity, OBO), advanced data retrieval techniques like pagination, delta queries, batch requests, and setting up change notifications via webhooks. Learn best practices for secure and efficient API interaction.

A comprehensive, domain-agnostic 13-agent system designed for rigorous academic research on any topic. It guides users through the entire research lifecycle, supporting deep literature reviews, systematic meta-analysis, cross-source synthesis, bias assessment, and generating professional APA 7.0 reports. Ideal for academics, students, and analysts needing structured, deep insights.

This skill helps discover new Japanese Natural Language Processing (NLP) resources, including GitHub repositories and Hugging Face models/datasets, that are not yet documented in the awesome-japanese-nlp-resources list. It analyzes a given topic, suggests candidates using web search, and outputs contribution-ready markdown for easy integration.

Combines a curated Japanese NLP resource dataset with live web research to produce an up-to-date trend report on models, tooling, benchmarks, embeddings, speech, and related subfields.

This tool outlines the complete end-to-end migration process from an Oracle database environment to SQL Server. It automates schema conversion, data migration, and generates necessary assessment reports by simulating SSMA console operations. Ideal for database architects and developers planning heterogeneous database migrations.

This skill generates a comprehensive issue report on the current challenges, limitations, and open problems within Japanese Natural Language Processing (NLP) for a specified topic. By combining knowledge from a curated local dataset with real-time web search, it provides a deep dive into ongoing research gaps, evaluating the state-of-the-art and recommending areas for future work.

A comprehensive intelligence tool designed for clinical researchers to navigate the complex NIH grant landscape. It utilizes a detailed 6-step intake process (covering research idea, career stage, and data status) to perform a multi-faceted positioning analysis. The system maps research to appropriate NIH institutes using RePORTER data and generates an editable Word document containing actionable mechanism recommendations, submission timelines, and strategic guidance for funding applications.

This advanced skill provides comprehensive patent prior-art and landscape intelligence. Instead of generic searches, it forces the user to commit to one of five specialized sub-use-cases: Novelty Search, Freedom-to-Operate (FTO), Competitive Landscape, Acquisition Diligence, or Litigation Prior-Art. It searches multiple global databases (Google Patents, Espacenet, USPTO) and outputs a detailed, actionable DOCX report with strategic recommendations, risk assessments, and technical verdicts.

This advanced orchestrator manages complex internal business workflows, covering process mapping, vendor management, capacity planning, and procurement optimization. It acts as a central router, classifying multi-signal inquiries and delegating tasks to specialized sub-skills (e.g., knowledge-ops, vendor-management). It follows a structured, depth-first workflow and returns actionable, digested reports anchored in documentation and next steps.

A powerful utility that transforms structured Markdown and JSON artifacts (like research reports, review summaries, or project plans) into polished, single-file HTML views. It ensures artifacts are highly readable for human consumption, maintaining the source Markdown as the canonical truth while adding necessary presentation layers like dashboards or academic layouts.

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.