Skill UI

A powerful tool for querying individual-level genotype data from the extensive 1000 Genomes Project dataset (GRCh38). This skill allows users to identify specific genetic variants within a region or to pinpoint which individuals carry variants matching complex criteria (e.g., specific allele frequencies, clinical significance). It is essential for genetic association studies, population genetics, and assessing individual relatedness.

This skill provides deep, cross-border financial analysis and valuation metrics for stocks across multiple markets (e.g., US, HK). Users can access detailed income statements, balance sheets, cash flow data, analyze business segments, compare valuation multiples (PE, PB), run sophisticated DCF models, and perform value screening. It is an essential tool for fundamental research, investment modeling, and corporate analysis.

This skill guides users through the complete lifecycle of data quality incident management using Monte Carlo MCP tools. It performs detailed investigation, including root cause analysis and blast radius assessment. It then coordinates various external tools (APIs, CLI) to propose and execute appropriate remediation actions, ensuring all data incidents are resolved with full context.

This tool provides forward-looking cost projection by calculating the average daily burn rate from a specified measurement window. It linearly extrapolates future spending across multiple time horizons (7d, 30d, 90d, 365d) and alerts users to the projected date of budget exhaustion. It is essential for proactive financial planning, SRE cost monitoring, and setting CI/CD build cost gates.

This tool provides a granular, per-message cost breakdown within a single conversation session. It serves as a deep-dive utility following an anomaly detection, allowing operators to pinpoint exactly which messages incurred the highest costs. It reveals critical cost components like output tokens, cache writes, and model escalations, helping users understand the true resource consumption beyond simple token counts.

This tool detects and classifies anomalies (such as spikes, drift, flatlines, or pattern breaks) in the telemetry data streamed from Cognitum Seed IoT devices. It utilizes Z-score analysis to quantify the deviation from normal operational metrics. Use this when investigating unexpected device behavior, validating stability before firmware advancements, or triaging large-scale fleet health alerts.

A read-only tool designed to compare prediction-market baskets or themes against the user's existing knowledge base, portfolio notes, research memos, or financial context. It performs gap analysis, flagging potential conflicts, stale assumptions, and areas of missing research. This skill provides structured insights into fit and exposure without offering any investment or trading advice.

This tool aggregates various system metrics—including counters, gauges, and histograms—from the observability namespace. It calculates baselines, flags significant deviations (anomalies) based on statistical standards, and provides a comprehensive system health report. Use it to get a detailed snapshot of system performance, monitor for degradation, and ensure overall system stability.

An advanced tool for network intelligence that calculates weighted graph scores to map the optimal path to a target. It identifies potential introducers, measures 'bridge value' across connections, and helps determine whether a connection requires a warm introduction or direct outreach on platforms like X and LinkedIn. Ideal for users needing the raw ranking methodology.

This tool automates the entire process of optimizing investment portfolio allocations using a sophisticated mean-variance engine. Users can set specific risk targets, assess detailed risk metrics (variance, correlation), predict expected returns using neural networks, and generate actionable, step-by-step rebalancing plans. It is designed for quantitative traders managing complex asset baskets and historical pattern analysis.