Skill UI

This skill provides comprehensive guidance on leveraging d3.js (Data-Driven Documents) to create sophisticated, interactive, and publication-quality data visualizations. It covers core concepts like data binding, implementing various chart types (network graphs, geo-maps, etc.), handling complex transitions, and ensuring responsiveness across modern JavaScript frameworks (React, Vue, Vanilla JS). Learn the standard workflow for scale definition, axis creation, and drawing custom visual elements with fine-grained control.

This guide provides a comprehensive, multi-step technical process for migrating historical meeting recordings and data into the Fireflies.ai ecosystem. It covers various scenarios, including batch uploads from public URLs, importing authenticated files (S3/GCS), direct file uploads, and tracking progress via webhooks, ensuring a robust and validated transition from competitor platforms.

This skill provides comprehensive guidance on establishing secure, high-performance connectivity between on-premises data centers and major public cloud providers (AWS, Azure, GCP). It covers various connection options, including Site-to-Site VPN, AWS Direct Connect, Azure ExpressRoute, and GCP Cloud Interconnect. Use this skill to design and implement complex hybrid network patterns (e.g., Hub-and-Spoke, Multi-Cloud), ensuring high availability, proper routing (BGP), and adherence to security best practices.

This guide provides essential security best practices for implementing Langfuse, an LLM observability platform. It covers critical areas such as secure credential management (public vs. secret keys), implementing PII scrubbing techniques before tracing, hardening self-hosted environments, and enforcing the principle of least privilege. Use this guide to ensure your LLM integrations meet strict data privacy standards (e.g., GDPR, HIPAA).

This powerful skill researches public sentiment and discussion trends for any given topic over the last 30 days. It aggregates posts and engagement data from major platforms including Reddit, X, YouTube, TikTok, Hacker News, and GitHub, providing a comprehensive, multi-source view of current public conversation, market interest, and evolving industry shifts. Ideal for competitive analysis and trend spotting.

A comprehensive guide for integrating Plaid API into fintech applications. Covers secure link token creation, public token exchange for persistent access tokens, and real-time transaction synchronization using the /transactions/sync endpoint. Includes best practices for identity verification, ACH authentication, and webhook handling, ensuring robust financial data connectivity.

This skill facilitates the end-to-end deployment of web applications and websites, supporting full-stack architectures including backend APIs, databases, and file storage. It is used when the user wishes to publish a project to a public, live URL, managing the entire deployment lifecycle from template selection to status checking and updates.

Provides a Python client for querying the Data Commons knowledge graph so teams can resolve entities, fetch statistical observations, and explore public demographic, economic, and health datasets with optional Pandas support.

Query and download the NCI Imaging Data Commons public cancer imaging datasets via idc-index, filter by metadata, fetch DICOM files, visualize series, and respect licensing details for AI training or research.

Conduct rigorous, multi-database literature reviews with systematic workflows, verified citations in styles like APA or Nature, and AI-enhanced schematics for publication-ready markdown and PDF outputs in biomedical and technical domains.

Direct REST/API access to PubMed for constructing complex Boolean or MeSH queries, filtering by publication attributes, and automating literature retrieval or citation management via NCBI’s E-utilities.

Scanpy is a scalable Python toolkit for single-cell RNA-seq analyses, covering QC, normalization, dimensionality reduction, clustering, marker discovery, annotation, and publication-ready visualization across h5ad/10X/CSV datasets.