Skill UI

This resource provides a minimal working example for implementing a complete digital document signing workflow using the Documenso SDK. It comprehensively guides users through creating a document, uploading a PDF file, adding designated recipients, placing specific signature fields, and finally triggering the signing process via code examples (TypeScript, Python) or REST API calls. Use this when integrating document signing into new applications or testing core document management capabilities.

This comprehensive checklist guides teams through the entire process of deploying Granola in a production or enterprise environment. It covers critical phases including plan selection, security hardening (SSO, data retention), integration setup (Slack, Notion, CRM), pilot testing, and post-launch monitoring, ensuring a smooth and successful organizational rollout.

This skill guides users through a comprehensive, multi-stage process for creating high-quality documentation. It systematically moves through Context Gathering (understanding the background and audience), Refinement & Structure (iteratively building and editing sections), and Reader Testing (simulating external review to catch blind spots). Ideal for drafting complex specifications, proposals, or design documents that need to be robust and clear for a wide audience.

A comprehensive toolkit designed to professionalize LLM prompt workflows. It moves prompts from ad-hoc drafts to measurable, production-ready assets through A/B testing against structured test cases, immutable version tracking, and governance guidelines. Essential for marketing teams needing verifiable quality and safety for AI-generated content.

An expert guide for planning, designing, and implementing statistically rigorous A/B tests and product experiments. It covers core principles like formulating strong hypotheses, selecting primary/guardrail metrics, calculating sample sizes, and analyzing results to drive actionable business insights.

A scientific, customer-centric framework for systematically improving conversion rates on websites and landing pages. This methodology guides users through funnel mapping, identifying core visitor objections, and conducting evidence-based A/B testing. It is essential for auditing underperforming funnels, optimizing checkout flows, and transforming general marketing hypotheses into measurable, statistically significant improvements.

Validate business ideas with Sahil Lavingia’s Minimalist Entrepreneur playbook by selling a manual version, defining precise users, testing processes without code, and gauging if customers will pay before building.

This skill guides users through a structured, three-phase process to transform vague, raw ideas into sharp, actionable concepts. It utilizes structured thinking (divergent brainstorming, convergent evaluation, and assumption stress-testing) to define the core problem, validate assumptions, scope the Minimum Viable Product (MVP), and articulate clear trade-offs (Not Doing list). Ideal for product managers, entrepreneurs, and strategists needing concrete direction.

Guides teams through testing messaging and word choice to find defensible market positioning, using a phased Crawl-Walk-Run rollout plus word-change experiments to accelerate enterprise deals.

This structured mode acts as an experiment design partner for Product Managers. It guides users through formulating testable, falsifiable hypotheses, designing rigorous A/B tests (including sample size, duration, and guardrails), and interpreting results honestly. It helps PMs move from vague beliefs to clear, data-backed decisions: Ship, Iterate, or Kill.

This comprehensive guide provides a full walkthrough of integrating with the SalesLoft API. It demonstrates core functionalities such as listing, creating, and updating contact records (People), and managing membership in automated sales sequences (Cadences). Ideal for initial API setup, complex system testing, or implementing structured sales outreach features.

This guide provides a comprehensive framework for designing statistically rigorous A/B tests, split tests, and multivariate experiments. It covers everything from formulating strong hypotheses and calculating sample sizes to selecting appropriate primary, secondary, and guardrail metrics for various business contexts.