Skill UI

This skill enables searching for stock tickers across A-Share, HK, and US markets. It can retrieve comprehensive historical price data (OHLCV) over specified date ranges, and also fetches crucial fundamental financial metrics such as market capitalization, P/E ratio, and industry sector information. Use this tool when needing to analyze the past or current performance of a publicly traded company.

This comprehensive guide demonstrates how to scrape live webpages using Bright Data's Web Unlocker proxy. It details how to bypass advanced anti-scraping mechanisms, such as CAPTCHAs and fingerprinting, automatically. Users are provided with full code examples in both Node.js and Python, showing methods for scraping via the proxy endpoint and through the dedicated REST API. Ideal for starting new scraping projects or integrating Bright Data into existing workflows.

This internal agent skill processes raw X/Twitter posts into structured bug candidates. It systematically performs parsing, content deduplication, PII redaction, reliability scoring, and classification. Finally, it clusters related reports using deterministic signatures, providing a highly organized output for efficient bug triage and analysis from large-scale social media streams.

This expert acts as a dedicated data analysis partner for Product Managers. It helps users explore data, write complex queries (e.g., SQL, BigQuery), analyze key metrics, and create structured dashboards. Use this tool when you need to derive actionable insights from complex datasets, compare user cohorts, or understand product performance trends to inform critical business decisions.

A comprehensive skill designed to query and download large-scale public cancer imaging data from the NCI Imaging Data Commons (IDC). Utilizing the idc-index package, users can access diverse modalities, including radiology (CT, MR, PET) and pathology datasets. The tool supports complex metadata querying, subset selection by cancer type or anatomical site, and visualization, making it essential for AI model training and scientific medical research. No authentication is required for data access.

Conduct comprehensive, systematic literature reviews across biomedical, scientific, and technical domains. This skill facilitates meta-analyses, scoping reviews, and research syntheses by searching multiple academic databases (e.g., PubMed, arXiv). It generates professionally formatted reports (Markdown/PDF) with verified citations and mandates the inclusion of AI-generated scientific schematics (e.g., PRISMA flow diagrams). Ideal for academic research and thesis writing.

This comprehensive guide details the process of implementing a secure and robust system for handling Palantir Foundry webhook events. It covers key steps including API-based webhook registration, mandatory signature verification with replay protection, sophisticated event routing for various object lifecycles (create, update, delete), and ensuring idempotent processing using caching mechanisms like Redis. Use this when external microservices must react reliably and immediately to changes within the Foundry Ontology or data assets.

Access and query 10 major academic paper databases (including PubMed, arXiv, OpenAlex, Crossref, etc.) via REST APIs. This tool facilitates comprehensive scholarly literature searches, allowing users to find abstracts, check citation details (DOI/PMID), track open access status, retrieve preprints, and analyze citation graphs across diverse fields like biomedicine and physics.

This guide provides a comprehensive method for setting up Snowflake observability. It teaches how to leverage built-in ACCOUNT_USAGE views to monitor critical metrics such as query performance (latency, error rates), credit consumption, and storage growth. Furthermore, it demonstrates how to implement automated alerts for operational issues (e.g., high failure rates, stuck warehouses) and export metrics to external monitoring systems like Grafana or Prometheus.

This skill generates a sophisticated, single-screen consumer dashboard mimicking a high-end lifestyle publication's dating column. It moves beyond simple swiping mechanics to visualize complex social metrics, mutual matches, and connectivity trends using editorial typography and restrained design. Ideal for concepts requiring data-driven storytelling about personal or community relationships.

This utility displays the precise, real-time token usage and estimated cost savings for the current session. It reads directly from the internal session log, ensuring objective and accurate data without requiring AI computation. Triggered by /caveman-stats, it provides immediate performance metrics to monitor API costs and usage patterns.

Utilize the OpenAlex API to conduct comprehensive academic research. This tool provides deep metadata, including open citation graphs, institutional affiliations, and detailed funding information, going beyond basic preprint searching. Ideal for academic researchers needing robust, open-access publication data.