Skill UI

A powerful research skill that captures the current 'pulse' of any topic by aggregating discussions from multiple sources, including Reddit, Hacker News, the open web, and optionally X/Twitter. It forces the user to define topic specificity, desired angle (trend, sentiment, problems, opportunities), time window, and platform scope before executing. The output is a cohesive, citation-backed briefing that provides cross-platform pattern analysis, making it ideal for competitor intelligence, trend discovery, and audience sentiment analysis.

This skill conducts a comprehensive audit to identify and prioritize automation opportunities within a user's existing workflow. It guides users through a structured intake (covering roles, repetitive tasks, and pain points) and systematically scans connected tools (like Gmail, Slack, Calendar, and CRMs) to surface actionable, ranked quick wins, minimizing implementation effort and maximizing impact.

An expert skill for systematically finding, qualifying, and building highly targeted prospect lists. It supports diverse motions including B2B SaaS, general B2B companies, local small businesses, and early-stage demand-signal discovery. The process guides users through defining the Ideal Customer Profile (ICP), sourcing candidates, rigorously qualifying them, and prioritizing the best targets for outreach.

This skill converts vague coding requests into a single, actionable, and detailed project plan. It guides the user through defining scope, establishing concrete, ordered action items (discovery, changes, tests, rollout), and identifying potential risks or open questions, ensuring a robust development workflow.

This meta-skill orchestrates a comprehensive research pipeline for sales professionals. It accepts initial lead requests and systematically performs web searches, reviews public source evidence, and drafts actionable materials. The final output includes a detailed account brief, pain hypotheses, stakeholder maps, personalized outreach emails, and discovery call questions, enabling deep preparation before any sales interaction.

This skill provides a comprehensive, step-by-step workflow for generating complete Power BI reports from scratch using the pbir CLI. It covers everything from initial model discovery and defining design briefs to visual placement, formatting, filtering, validation, and final publishing in Fabric or Power BI Desktop. It ensures best practices are followed to create robust, professional, and interactive dashboards.

This skill acts as a literature-research assistant, orchestrating a Python CLI to interface with APIs like Semantic Scholar and arXiv. It enables users to search for academic papers by topic, retrieve detailed metadata, perform impact analysis using citation tracking, download PDFs, and extract text content. It streamlines the entire academic research workflow from initial discovery to deep reading.

This skill provides advanced connection-discovery and semantic search across your personal Apple Notes. It moves beyond simple keyword matching to find related ideas, identify non-obvious 'bridges' between concepts, and synthesize comprehensive summaries of your thoughts. Ideal for knowledge workers looking to recall, analyze, or map their personal knowledge base.

This skill generates a comprehensive customer journey map, detailing the entire customer experience from initial awareness through to advocacy. It identifies key stages, customer actions, emotional highs and lows, critical pain points, and actionable opportunities for product improvement or service enhancement. Ideal for UX research, product discovery, and cross-functional alignment.

This skill generates a comprehensive discovery call brief designed for sales professionals. Users input prospect details and product info, and the AI outputs a structured guide including market research summaries, hypotheses about pain points, deep-dive questioning frameworks, and clear success criteria. It ensures every sales conversation is strategic, context-driven, and leads to a defined next step.

A comprehensive framework for structuring user interviews, customer discovery, or Jobs-to-be-Done (JTBD) research. This guide provides structured steps for screener creation, deep behavioral exploration (focusing on past actions, not future predictions), and systematic synthesis/pattern detection, ensuring the gathering of genuine, actionable insights.

This skill enables querying Delta Lake tables and raw files stored in OneLake using DuckDB. It supports two primary modes: local execution via CLI/Python for ad-hoc analysis, and in-notebook execution within Fabric, combining DuckDB's speed with notebook context. Ideal for data exploration, schema discovery, and data quality validation across the Fabric ecosystem.