Skill UI

This core skill is designed for academic publishing, combining deep AI research with structured, professional writing. It guides the creation of manuscripts using IMRAD structure and handles complex citation styles (APA, AMA, etc.). Crucially, it mandates the generation of graphical abstracts and rich technical schematics to ensure the highest level of visual rigor for research papers.

A specialized skill designed to convert complex legal materials—such as contracts, matter descriptions, corporate structures, timelines, or compliance processes—into context-appropriate, structured Mermaid diagrams. It utilizes a multi-step process involving structured data extraction, LLM enrichment, and mandatory gates to ensure accuracy. Ideal for visualizing relationships, obligations, and flows in legal documents, but strictly limited to legal or legal-adjacent diagrams.

This internal, deterministic gate enforces academic rigor before manuscript compilation. It audits the input, rejecting unsupported empirical claims, missing citation verdicts, or concrete outcome numbers that lack user evidence. It ensures that generated scientific papers only present validated results, blocking unsupported quantitative or qualitative assertions.

This skill performs pharmacokinetic and pharmacodynamic modelling, including non-compartmental analysis, compartmental fitting, and population PK. It helps derive exposure metrics, evaluate dosing regimens, and predict drug interactions using Python scripts. Suitable for analyzing concentration-time data and supporting clinical pharmacology workflows.

Bilig WorkPaper provides a code-first runtime environment for complex spreadsheet business logic. It allows agents to interact with structured data using formulas and JSON workbooks via deterministic API calls (MCP/TypeScript). This is ideal for replacing unreliable UI automation in use cases like quote calculators, budget modeling, and data validation, ensuring calculation integrity through explicit read-back proof.

This skill provides quantitative analysis frameworks and CLI indicator scripting via Longbridge. It supports pairs trading, volatility strategies, multi-factor models, and statistical methods like ADF/GARCH. Users can run scripts against K-line data for strategy optimization, hedging, and ML-based prediction without requiring login. Ideal for quantitative finance workflows.

A comprehensive suite designed for AI agents to perform safe, deep, and multi-format web searches. It allows agents to retrieve current web information, analyze PDFs, extract YouTube transcripts, and access GitHub code files. Instructions include guidelines for varying search depths and using specialized tools for code context retrieval.

Read live Microsoft Fabric capacity utilization and per-item CU consumption from the Capacity Metrics semantic model with fab, diagnose throttling, carry-forward and stale metrics-app issues, and start, pause or monitor capacities from scripts or a status bar.

End-to-end organization of Power BI or Analysis Services semantic models to be report-ready: table groups, display folders, Title Case naming conventions, hierarchies, sort-by columns, hiding, descriptions, format strings, perspectives, translations and security roles.

Turn YouTube videos, channels, or playlists into text using the Apify youtube-transcript-scraper Actor. Get plain text, timestamped segments, SRT/VTT captions, and translated transcripts with video metadata for summaries, quotations, and research.