Skill UI

This skill generates a comprehensive, structured churn analysis, moving far beyond simple headline rates. It meticulously separates avoidable vs. unavoidable customer losses, identifies high-risk segments (by tier, cohort, etc.), calculates critical metrics like Net Revenue Retention (NRR), and pinpoints actionable early warning signals. The output culminates in prioritized, data-driven intervention recommendations to improve customer retention.

This skill generates a comprehensive, structured Customer Success Plan (CSP) that serves as a joint roadmap between the Customer Success Manager (CSM) and the client. It guides collaboration through defined business goals, measurable success metrics (KPIs), and phased milestones across the entire customer lifecycle, from onboarding to renewal and expansion. Ideal for kickoff calls, Quarterly Business Reviews (QBRs), and joint planning sessions.

This advanced skill downloads Instagram posts, carousels, and Reels at their original, high resolution directly from the CDN. It supports batch processing of multiple URLs, automatically creates organized folders for each post, and stitches multi-slide carousels into a single PDF file, making content archiving and aggregation seamless.

Generates a comprehensive, professional, and honest monthly or quarterly investor update. This skill helps founders structure progress reports by including key metrics, major wins, candid challenges, and specific, actionable asks, tailored for early-stage and growth investors.

This skill synthesizes user signals gathered from diverse sources—such as interviews, support tickets, NPS verbatims, app reviews, and sales calls—into a single, weighted, and comprehensive insight brief. It moves beyond surface-level feature requests to surface the core underlying user needs, identifies contradictions (divergence), and assigns confidence ratings based on source diversity and weight. Ideal for product managers and UX researchers needing to reconcile complex, mixed data sets.

This skill automates the NotebookLM AI research tool using browser automation via the Claude Chrome extension. It allows users to programmatically create new notebooks, add multiple sources (URLs, documents, text), and trigger complex output generations, such as mindmaps, audio overviews, and briefing documents, without manual clicking. Ideal for researchers and builders managing high volumes of source material.

A specialized tool designed to strip out predictable, statistical patterns common in AI-generated writing. It systematically rewrites overly polished or uniform text—such as blog posts, emails, or social media captions—by injecting genuine human signals, ensuring the final output reads like it was written by a real person.

This skill generates a comprehensive and highly structured project status report, perfect for weekly communication with key stakeholders (e.g., Steering Committees, Sponsors, PMO). It ensures that all critical areas—including RAG status, milestone progress, identified risks, blockers, and required decisions—are documented clearly and concisely, keeping the project transparent and on track without requiring a formal meeting.

This tool structures and generates a comprehensive, customer-focused Quarterly Business Review (QBR) deck. It guides the user through creating a slide-by-slide narrative that demonstrates value delivered, reviews key metrics, aligns on business outcomes, and defines mutual next steps for executive stakeholders.

Generates comprehensive, audience-calibrated product roadmaps that tell a cohesive strategy story. Use this skill when planning product direction, presenting quarterly goals to leadership, or defining strategic initiatives. It structures the output using the Now/Next/Later framework, ensuring the narrative includes success metrics, strategic context, and explicit deprioritization rationale, adapting the detail level for executives, engineers, or customers.

This tool analyzes historical sprint velocity data to generate a comprehensive engineering team health report. It moves beyond simple charts by diagnosing underlying delivery patterns, identifying risks like chronic over-commitment, and assessing story point calibration. The report provides actionable recommendations for improving capacity planning and team predictability.

A comprehensive, structured guide for designing large-scale distributed systems. Use this framework to structure interview answers or real-world architectural proposals, covering everything from clarifying requirements and estimating capacity to deep component design, data flow, and critical trade-offs.