Skill UI

Acts as a senior SaaS CFO advisor: ingests revenue, customer, and cost inputs, runs validated calculators, benchmarks each health metric by segment and stage, and prioritizes the most critical actions with plain-English guidance.

Guides borrowers through refinance evaluation by collecting loan data, extracting mortgage statement fields, validating inputs against underwriting rules, and recommending the best products with clear, consumer-friendly explanations.

Models cap table dilution, SAFE conversion, and exit waterfalls for venture rounds, generating OCF inputs and running Python scripts to calculate ownership changes and waterfall outcomes.

Assess any business decision through Sahil Lavingia’s Minimalist Entrepreneur lens, focusing on community value, manual-first processes, profitability, and reversible moves to keep plans lean and validating with early customer input.

This system treats ideas like living species on an 'evolution island.' Instead of simple storage, it runs structured, multi-round iterations simulating biological processes: competition, crossbreeding, and mutation. Users input initial concepts, and the tool systematically evaluates them using a 6-dimensional scoring framework (Novelty, Feasibility, Value, etc.). It helps users deepen viability, discover unexpected connections between disparate ideas, and prioritize the most robust concepts for development and investment.

This meta-skill converts messy meeting inputs—such as transcripts, rough notes, or recordings—into highly structured, actionable outputs. It automatically extracts key decisions, assigns owners, generates follow-up tasks, and creates drafts for popular collaboration platforms like GitHub, Trello, or Notion, ensuring continuity from discussion to execution.

This skill transforms vague, unclear, or half-formed business opportunities and brief descriptions into highly structured, actionable problem statements. It guides the user through a three-stage process: reframing the core questions, rigorously defining in-scope and out-of-scope boundaries, and designing a minimum viable research plan. It ensures that ambiguous inputs are converted into clear, executable steps, allowing the user to respond with confidence rather than asking for more clarification meetings.

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.

This skill runs a single, simulated tick of a defined business pod (Sales). It is designed for dry-run testing, allowing users to validate inputs, resolve agents, and reserve budgeted resources without invoking real LLM workers. It handles template loading, schema validation, budget management, and emits structured status reports for subsequent workflow consumption.

This skill assists in researching prediction markets, treating them as potential data sources or oracle signals for corporate decision intelligence, product development, and agent inputs. It provides source-grounded analysis of implied probabilities, signal quality, and integration patterns, while strictly avoiding investment advice.

This tool accesses a brand's cumulative intelligence graph to retrieve, rank, and synthesize relevant marketing learnings. By inputting a context (channel, audience, objective, etc.), it generates an actionable playbook that informs current decisions using past validated insights, eliminating the need for manual searching through old reports. It handles confidence thresholds, time ranges, and identifies conflicting patterns.

This skill is designed for building complex, audit-ready financial models in Excel. Use it for 3-statement projections, DCF valuation, LBO analysis, unit economics, or advanced scenario planning. It enforces professional standards like the three-zone architecture (Inputs, Calculation, Outputs), strict formula discipline, and robust auditing gates, ensuring the output is suitable for high-stakes decision-making.