Skill UI

Aggregates test results from multiple frameworks, computes coverage/pass rate trends, and produces stakeholder-friendly HTML, PDF, or JSON reports for CI/CD test reports, coverage checks, failure analysis, or historical comparisons.

This advanced workflow enables users to perform deep analyses on large-scale people intelligence datasets. Users can build custom queries with multi-dimensional filters, run comparisons across different candidate pools (e.g., Q1 vs Q4), and aggregate skill density by geographical region. It is essential for talent acquisition teams needing to identify market trends and optimize hiring strategies beyond standard search functions.

This skill performs comprehensive research on public sentiment and discussion trends for any given topic over the last 30 days. It aggregates data and engagement from major platforms including Reddit, X, YouTube, TikTok, Hacker News, GitHub, and general web sources, providing a holistic view of current conversation and market reaction.

This skill allows users to track large cryptocurrency transactions and the movements of "whale" wallets across multiple blockchains. It monitors exchange inflows and outflows, helping users analyze potential market trends, identifying accumulation or selling pressure from major holders. Ideal for crypto analysts and investors needing real-time market insights.

Captures and surfaces Whatsapp activity details so teams can monitor conversations, spot trends, and maintain compliance or support readiness.

This skill functions as an expert-level web researcher, utilizing advanced search strategies (query optimization, domain filtering) to gather, synthesize, and validate information from multiple web sources. It is ideal for complex research tasks requiring fact verification, identifying trends, and producing structured, actionable insights, ensuring high credibility for the final output.

This skill acts as a content freshness specialist, identifying outdated elements—such as statistics, dates, examples, and industry trends—within existing SEO content. It provides strategic guidelines, update priorities (High/Medium/Low), and actionable refresh plans to improve search engine rankings and maintain topical authority. Use it proactively for established but aging content to combat content decay.

Scans codebases for debt, scores severity, tracks trends, produces prioritized remediation plans, and reports progress for engineering teams balancing refactoring with feature delivery.

Research current UI/UX visual trends from Dribbble and related design communities to inform color, typography, layout, and interaction choices before starting a project.

This comprehensive skill guides content creators through a structured process to generate, refine, and validate high-potential YouTube video ideas. It ensures that every concept aligns with the channel's core content pillars, target audience needs, and current market trends. By utilizing advanced methods like gap analysis and trend riding, it provides a prioritized, scored list of executable video ideas, moving the user from abstract concepts to actionable content strategies.

Enables efficient querying of the bioRxiv preprint server with keywords, authors, dates, and categories, returning structured JSON metadata and optional PDF downloads for literature reviews or tracking research trends.

This skill provides zero-shot time series forecasting using Google's TimesFM foundation model. It forecasts any univariate time series (like sales, sensor data, or weather) without requiring custom model training. The model delivers point forecasts along with calibrated prediction intervals (quantiles), offering a robust and probabilistic view of future trends. It is ideal for rapid, reliable forecasting across diverse time-based datasets.