Skill UI

A comprehensive guide to implementing schema.org structured data using JSON-LD format. Learn to correctly identify page types (Product, Article, Organization, FAQPage) and apply the necessary schema markup to help search engines understand content context. This skill covers initial assessment, core principles (accuracy, validation), and optimizing for rich results like star ratings, site search blocks, and rich snippets, significantly boosting search engine visibility and CTR.

This tool streamlines the entire meeting preparation lifecycle. By integrating Notion context, performing targeted searches, and enriching content with Codex research, users can draft structured agendas, pre-reads, and decision documents. It ensures all necessary background information, owners, timeboxes, and industry insights are compiled for highly effective meetings.

This comprehensive guide details the stringent process of preparing an accepted scholarly paper for publication in LIPIcs proceedings. It covers mandatory steps including converting to the specific `lipics-v2021` class, systematic de-anonymization (restoring authors, ORCIDs, and acknowledgements), completing rich metadata (ACM CCS, keywords, funding), and reconciling the final body text with the public full version. Essential reading for ensuring smooth production.

This function guides academic writers in transforming rich textual readings into a consequential, field-shaping argument suitable for major scholarly publications (like PMLA). It moves beyond mere description by structuring the core elements: a contestable thesis, the interpretive warrant, the critical move, and the broad implications (stakes) for the discipline. Use this when your reading has deep potential but lacks a clear, governing, and consequential claim.

This skill connects extracted drug entities with authoritative regulatory facts from the public OpenFDA API. It retrieves Structured Product Labeling (SPL) data, NDC package codes, approved indications, boxed warnings, and current recall/enforcement status. It is essential for enriching drug profiles, providing regulatory context, and supporting unexpectedness checks. Note: This skill provides information, not clinical decision support.

This technique segments unstructured clinical documents (such as HPI, PMH, and A&P sections) into contextually rich, canonical chunks. This is crucial for improving the precision of downstream NLP tasks like Named Entity Recognition (NER) and de-identification. By identifying and normalizing headers and mapping them to LOINC codes, the system ensures that the source context (e.g., historical vs. active) is maintained, leading to significantly more accurate results.

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.

Rewrites commit messages to sound like a careful human engineer wrote them. Strips AI/marketing slop (e.g., 'comprehensive solution', 'robust implementation', 'leverage') while keeping Conventional Commits format. Ensures direct, specific, and imperative subject lines with optional context-rich body. Ideal for developers who want clean, professional git history without AI-generated jargon.

Looot is an MCP server providing access to over 2,500 data API endpoints. It allows users to search for work emails, company information, SERP results, and web pages from a single prepaid balance. Ideal for enriching person or company data, analyzing SEO metrics, scraping web content, and retrieving social media profiles. It supports various tools like Claude, Cursor, and Gemini via the Model Context Protocol.