Skill UI

Automates Async Interview workflows by orchestrating Composio tools through the Rube MCP gateway; always discover current schemas first, verify toolkit connections, then run executions with schema-compliant arguments and session-aware bookkeeping.

Automates Tally bookkeeping operations by orchestrating Composio's Tally toolkit through Rube MCP, ensuring dynamic schema discovery via RUBE_SEARCH_TOOLS before executing workflows and validating connections first.

Automates Xero bookkeeping by managing invoices, contacts, payments, bank transactions, and chart-of-accounts workflows through toolkit actions, ideal for small businesses needing cloud-enabled accounting updates.

A comprehensive guide for startups to maximize Return on Investment (ROI) by optimizing operational costs and leveraging R&D tax credits. This skill covers strategies for improving bookkeeping efficiency, structuring employment (W-2 vs. contractor), selecting the optimal financial plan, and minimizing overall accounting complexity using Fondo's tools.

This comprehensive guide details the setup process for the Fondo platform, designed for automated startup bookkeeping, tax filing, and tracking R&D tax credits. Users must connect core financial sources, including payroll providers (e.g., Gusto, QuickBooks), corporate bank accounts (via Plaid), and expense management tools (e.g., Brex, Ramp). Following these steps ensures seamless data synchronization and compliance for US-incorporated businesses.

This reference architecture outlines a comprehensive financial stack for startups. It centralizes core financial functions—including banking (Mercury), payroll (Gusto), revenue/expense tracking (Stripe/Brex), and advanced bookkeeping/tax services (Fondo)—into a unified data flow. It helps founders and finance teams manage everything from daily transactions to monthly closing, tax filings (like R&D credits), and generating board reports efficiently.

A comprehensive guide detailing the process of migrating bookkeeping and accounting services to Fondo. It covers multiple scenarios, including transfers from DIY solutions, other firms (like QuickBooks, Pilot, Bench), and managing changes in accountants. The guide outlines necessary data preparation (GL exports, bank statements, tax records) and the phased onboarding process to ensure seamless financial continuity for growing businesses.

This guide outlines the stringent standards for academic paper reproducibility in theoretical machine learning (e.g., COLT). It provides a comprehensive pre-submission audit checklist covering formal proof completeness, assumption bookkeeping, constant tracking, and ensuring numerical illustrations are fully traceable. Use this methodology to strengthen your theoretical claims and withstand rigorous peer review.

This skill manages complex, stateful proof projects as a local-first pipeline. It guides the user through drafting, rigorous verification, and source bookkeeping. It systematically handles proof continuation across runs, maintaining a full audit trail. When local attempts stall, it orchestrates handoffs to external AI models (like GPT Pro) or performs optional deep audits (DeepSeek), ensuring a structured, traceable, and verifiable output suitable for academic or technical submission.