Skill UI

Build comprehensive 3-5 year financial models crucial for early-stage startups. This guide covers revenue projections using cohort-based methods, detailed cost structuring (COGS, S&M, R&D, G&A), robust cash flow analysis, and multi-scenario planning (Conservative, Base, Optimistic). It provides the quantitative foundation needed for fundraising, strategic planning, and investor presentations.

Automated guidance for Teams Webhook Sender scenarios within business automation, offering best-practice patterns, ready-to-use configurations, and validation steps for workflow, email, spreadsheet, and process optimization tasks.

A comprehensive tool designed to monitor new token launches across various Decentralized Exchanges (DEXs). It detects new pair creation events, fetches detailed token metadata, and performs deep contract risk analysis. The analysis checks for critical indicators such as mint functions, proxy patterns, blacklists, and ownership status, helping users safely track market activity on major chains like Ethereum, Base, and BSC.

This skill is designed to help users optimize the operational costs of the TwinMind AI platform. It provides detailed usage monitoring and guidance for selecting the most appropriate subscription tier (Free, Pro, or Enterprise). Users can manage advanced features such as high-accuracy transcription (Ear-3) and AI summarization across multiple models (GPT-4, Claude, Gemini), ensuring efficient resource utilization and cost control for large-scale meeting AI operations.

A comprehensive guide to setting up TwinMind Enterprise for large-scale corporate environments. This includes configuring on-premise deployment, integrating custom AI models (GPT-4, Claude, Gemini), and enabling Single Sign-On (SSO) using Okta. It is essential for implementing strict Role-Based Access Control (RBAC) and managing team-wide meeting intelligence and transcript sharing in a secure, enterprise setting.

This comprehensive guide details the process for managing service transitions on the TwinMind platform. It instructs users on how to audit current usage, export all key configurations (settings, integrations, webhooks), and execute plan upgrades (Pro or Enterprise) via both the dashboard and API. This ensures a seamless and controlled migration between service tiers.

Placeholder skill describing the pending Wave Accounting toolkit on Composio; no native tools exist yet so users are directed to existing Stripe, Zoho Invoice, QuickBooks, or FreshBooks automations while waiting for the integration.

This skill helps users quickly create and build professional websites or landing pages for their businesses. By collecting essential details like the business name and description, it generates a ready-to-use signup link for hosting the new site on the B12 platform. It is ideal for entrepreneurs needing a fast and professional online presence.

A comprehensive guide for optimizing licensing costs associated with AI developer tools (like Windsurf). It provides structured methods for auditing seat utilization, matching feature tiers to specific team roles, calculating the ROI per seat, and implementing continuous usage monitoring to maximize cost efficiency and minimize wasteful spending.

This guide details how to configure Windsurf for professional enterprise deployment, covering critical security and governance features. Key areas include setting up SSO/SAML authentication, defining role-based permissions (Owner, Admin, Member), establishing organization-wide AI policies and data controls, managing user seats, and implementing comprehensive audit trails for compliance.

This skill provides centralized management for organization-wide Windsurf settings, including editor preferences, AI behavioral policies, tool approvals, and compliance requirements. It is essential for administrators who need to standardize configurations, manage global team policies, and ensure organizational compliance across multiple teams within an enterprise setting.

This skill provides comprehensive analytics for Windsurf deployments, allowing teams to track AI feature adoption, measure productivity gains, calculate Return on Investment (ROI), and identify key areas for optimization. Use this when analyzing team usage patterns, generating usage reports, or conducting ROI assessments for AI tools.