Skill UI

A comprehensive 12-agent pipeline designed to guide users through the entire academic writing lifecycle. It covers literature search, structural planning, full-text drafting, bilingual abstract generation, simulated peer review, and professional formatting (LaTeX/DOCX/PDF). Features include Style Calibration and Writing Quality Checks to ensure publication-ready quality.

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.

A decision-grade research skill that generates a comprehensive, hypothesis-tested dossier on any entity (company, person, etc.). Unlike generic summaries, it forces the user to state a pre-existing hypothesis, then rigorously searches for evidence that validates or disproves it. The output is an editable report containing key facts, red flags, 12-month timelines, network signals, and actionable conversation hooks, making it ideal for investment, due diligence, or high-stakes meetings.

A specialized tool for clinical researchers to develop a comprehensive, strategic NIH funding roadmap. By taking inputs like research ideas, career stage, and preliminary data, it performs a multi-faceted positioning analysis, maps the research to relevant NIH institutes using RePORTER, and generates an editable Word document. This document includes mechanism recommendations, submission timelines, and mandatory program officer advice, guiding the entire grant application lifecycle.

This is a mandatory, one-time setup skill designed to interview users interactively to build a personalized knowledge base for advanced email triage. Using a structured, discipline-driven interview process, the skill collects data on email patterns, business context, and priorities, generating 7 critical structured files (e.g., email-taxonomy.md, rate-card.md). This knowledge base powers the companion 'inbox-triage' skill. Run this before initial use or whenever core business processes change significantly.

Performs comprehensive, recurring email triage by classifying messages, researching new senders, generating decision recommendations, and drafting replies. It consumes a structured knowledge base (KB) and delivers a report and updated knowledge base without sending any emails. Designed for automated, periodic execution.

Generates a highly polished, self-contained single-page HTML landing page optimized for maximum conversion. It incorporates advanced features like 3D CSS animations, GSAP scroll effects, and mouse parallax depth. To ensure accuracy, the skill uses a structured intake process (product pitch, target audience, brand colors, and tone) to build a conversion-ready page that reflects the actual product, not generic boilerplate. Outputs a single, deployable HTML file.

A specialized intelligence tool for comprehensive patent prior-art and landscape analysis. Unlike generic searches, this skill forces commitment to one of five critical sub-use-cases (Novelty Search, Freedom-to-Operate, Competitive Landscape, etc.) before conducting searches across major patent databases (Google Patents, Espacenet, USPTO). It outputs a detailed, editable report containing claim-aware analysis, risk flags, and strategic recommendations.

This skill serves as a sophisticated research orchestrator, functioning as a hybrid router. It deterministically classifies complex user queries and routes them either to specialized domain modules (e.g., trend analysis, academic literature review, patent search, or entity dossiers) or executes a robust fallback general search workflow. The system always maintains transparency regarding the routing decision, yielding comprehensive, cited reports in markdown or .docx format.

This skill automatically generates a comprehensive, professionally formatted reading list from any course syllabus. It parses learning outcomes and core topics, searches Consensus for the most recent peer-reviewed academic papers, and compiles them into a DOCX file. The generated content includes plain-language summaries and Bloom-higher-order discussion questions, calibrated specifically to the target audience (e.g., undergraduate, graduate) for maximum academic utility.

AEO (Answer Engine Optimization) is the practice of optimizing content specifically for citation in responses generated by Large Language Models (LLMs) like ChatGPT, Gemini, and Perplexity. Unlike traditional SEO, AEO focuses on improving E-E-A-T signals, structured data, and factual density to become an authoritative source for AI search, ensuring your content is cited when answering complex queries. This skill provides auditing, optimization, and tracking capabilities.

This skill provides comprehensive tools for working with the Brain Imaging Data Structure (BIDS) standard. It covers organizing diverse neuroscience and biomedical datasets (including MRI, EEG, MEG, PET, and behavioral data), validating dataset compliance, converting proprietary DICOM formats to BIDS, writing metadata sidecars, and generating BIDS-compliant derivatives. Essential for researchers preparing data for major repositories and publications.