Skill UI

A foresight agent that runs a rigorous 12-step pipeline combining Claude’s qualitative intelligence with Python’s deterministic arithmetic to analyze high-stakes future scenarios, infer reasonable horizons, and surface quantitative signals for prediction requests.

Customer research expert that synthesizes qualitative and quantitative signal. Analyzes transcripts, surveys, tickets, and online reviews to reveal pains, triggers, jobs-to-be-done, and customer language. Mines public sources such as Reddit and G2, and designs primary interviews and surveys to discover customer sentiment and market fit.

This skill provides programmatic access to comprehensive global financial market data via the Alpha Vantage API. Users can retrieve time-series data, including historical prices (OHLCV) for equities, options, forex, commodities, and crypto. It also provides access to fundamental metrics (e.g., P/E ratio, market capitalization), economic indicators (e.g., GDP, CPI), and over 40 technical indicators (e.g., RSI, MACD), making it ideal for quantitative analysis and financial modeling.

A comprehensive skill for the entire lifecycle of AI capability development. Use this tool to draft new skills from scratch, iteratively improve existing ones, and rigorously measure their performance. The process includes capturing user intent, defining test cases, running quantitative benchmarks, evaluating results, and optimizing the skill description for maximum triggering accuracy.

A comprehensive mentor for graduate students and early-career researchers, guiding the entire research lifecycle. This skill covers formulating rigorous research questions, designing studies (quantitative, qualitative, mixed-methods), conducting literature reviews, analyzing data, and writing publishable papers. It emphasizes methodological rigor, critical thinking, and ethical considerations.

A powerful tool designed for systematic literature reviews and meta-analyses. It searches scientific papers and retrieves highly structured experimental data directly from the full text, going beyond mere abstracts. It extracts over 25 fields, including detailed methods, quantitative results, sample sizes, quality scores, and conclusions, enabling comprehensive evidence synthesis for academic research.

This skill utilizes the Kronos model to perform advanced financial time-series forecasting. It generates quantitative base predictions and then integrates news sentiment analysis to adjust and refine the forecast, making it an essential tool for finance professionals needing actionable market insights.

This skill provides comprehensive deal-desk support by performing quantitative scoring and risk assessment for commercial deals. It scores deals across margin, risk, and strategic value, routes discount requests to the correct human approver chain (e.g., Director, CFO, Legal), and flags contract landmines (e.g., uncapped indemnity, MFN) in redlined MSAs. It never auto-approves; every output is a score and a recommendation for a named human sign-off.

A comprehensive reference guide providing quantitative benchmarks and formulas for system architects. It covers user-to-RPS conversion, storage estimation, bandwidth calculation, known scale limits of major technologies (databases, queues, caches), and capacity planning for various user loads (1K DAU to 10M DAU). Essential for designing scalable, high-availability applications.

A specialized skill for creating highly structured, measurable, and strategically aligned Objectives and Key Results (OKRs). It guides product teams, startups, and departments in setting ambitious goals by defining clear objectives and quantitative key results. It actively flags common anti-patterns, such as vanity metrics or output-based goals, ensuring all KRs are measurable and tied back to the company's North Star metric.

This skill generates a sophisticated prioritization matrix by combining quantitative RICE (Reach, Impact, Confidence, Effort) scoring with qualitative Strategic Alignment ratings. Use this when multiple features compete for resources, requiring a balanced decision between sheer user impact and adherence to core business OKRs. The output provides a scored priority matrix, quadrant placement (Now, Next, Later, Drop), and explicit sequencing recommendations.

NVIDIA garak is an open-source LLM vulnerability scanner designed for comprehensive red-teaming and security assessment. It systematically probes large language models (via OpenAI-compatible APIs, Hugging Face, etc.) using thousands of adversarial prompts. It covers critical vulnerabilities such as prompt injection, jailbreaking, data leakage, and toxicity. Use this tool to establish a repeatable security baseline before or after deployment, validate the effectiveness of safety guardrails, or generate quantitative evidence for AI risk assessments.