The plugin produces substantive output. However, the tasks are relatively simple, or work is a midpoint rather than a near-final draft. The level of specificity and expert-level input is lacking. The plugin needs customization and iteration before it is consistently useful.
This plugin covers the entire private equity workflow: finding and evaluating deals, running due diligence, modeling returns, writing investment committee memos, and managing portfolio companies after
This plugin covers the entire private equity workflow: finding and evaluating deals, running due diligence, modeling returns, writing investment committee memos, and managing portfolio companies after acquisition. It works from uploaded files — CIMs, financial packages, data room documents — or from web research when sourcing new targets. Each skill produces a specific deliverable (screening memo, DD checklist, returns model, value creation plan) rather than general analysis, so outputs are ready for partners and investment committees with light editing.
“Screen this CIM — is it worth a first call?”
One-page screening memo with pass/fail criteria table, bull/bear cases, and first-call questions
“Model returns at 8x entry, 5% growth, 4x leverage”
Excel workbook with base/bull/bear IRR and MOIC, two-way sensitivity tables, and returns attribution waterfall
“Build the 100-day plan for this acquisition”
Value creation roadmap with EBITDA bridge, phased action plan, KPI dashboard, and owner accountability matrix
Works standalone from uploaded files and web research. No external API connections are required. When connected, can integrate with CRM systems, email (Gmail), and Slack for deal sourcing relationship checks and outreach drafting. Data rooms and file storage (SharePoint, Google Drive) enhance portfolio monitoring and AI readiness scans.
Structured extraction from deal documents — pulls financials, deal terms, customer data, and risk factors from CIMs and teasers so the screening and IC memo skills have clean inputs to work from
Pass/fail investment criteria framework — scores each deal against the fund’s specific thresholds (revenue range, margins, sector, valuation) so partners see a clear verdict, not just analysis
Multi-scenario returns modeling — builds sensitivity tables that vary entry multiple, leverage, exit timing, and growth simultaneously so the deal team can stress-test assumptions in minutes
Sector-tailored due diligence generation — adds workstream items specific to the target’s industry (reimbursement risk for healthcare, SOC2 for software) so nothing sector-critical gets missed
EBITDA bridge construction — maps every value creation lever to dollar impact by year so operating partners have a quantified execution roadmap, not a generic strategy slide
Portfolio-wide opportunity stacking — ranks AI and operational improvements across all portfolio companies by dollar impact so the operating team deploys resources where the math is biggest