skills/capital/preparing-deal-attribution-analysis/SKILL.md
Structures investment-level performance attribution with return decomposition, timing analysis, and value driver identification. Use when preparing deal attribution, analyzing investment returns, or building exit case studies.
npx skillsauth add casemark/skills preparing-deal-attribution-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Structures investment-level performance attribution with return decomposition, timing analysis, and value driver identification for LP reporting, annual meeting presentations, and exit case studies.
Validate cash flow data — Reconcile capital contributions and distributions against fund admin records. Confirm dates, amounts, and instrument types. Flag any gaps with [VERIFY].
Calculate gross return metrics — Compute gross IRR, gross MOIC (total value / invested capital), and DPI (distributions / paid-in) using the verified cash flow schedule. For unrealized deals, use the most recent fair value per the fund's valuation policy. [VERIFY] valuation methodology (last round, comparable multiples, DCF) if not explicitly stated.
Decompose the return into value drivers — Build an attribution bridge breaking total value creation into:
Perform timing analysis — Calculate holding period and annualized returns. Compare early vs. late value creation (e.g., first 2 years vs. remaining hold). Note whether acceleration of exit or delayed realization materially affected IRR vs. MOIC relationship.
Benchmark against underwriting — Compare actual outcomes to the original base-case model across revenue CAGR, exit EBITDA, exit multiple, and leverage at exit. Quantify variance in dollar and percentage terms. Categorize each driver as outperform, in-line, or underperform vs. plan.
Benchmark against market — Compare deal IRR/MOIC to the relevant public market equivalent (PME), sector index return (Long-Nickels or Kaplan-Schoar), and fund-level median deal return. Note whether value creation was primarily alpha (company-specific) or beta (market/sector tailwind).
Draft the attribution narrative — Write a concise investment story covering: thesis at entry, key actions taken during hold, value creation breakdown, and lessons learned. For exits, include buyer rationale and process summary. For unrealized deals, note key risks to current valuation.
The deliverable should include:
Format for LP consumption — clean tables, labeled charts, and a narrative that can stand alone in an annual meeting book or LPAC presentation.
development
name: automated-contract-summary language: en description: Generates structured executive summaries of contracts using ML — captures key terms, party obligations, risk allocations, and compliance requirements in a standardized format. Optimized for high-volume review where speed and consistency matter. tags: - summarization - agreement - corporate --- # Automated Contract Summarization Produces standardized executive summaries of contracts using machine learning, capturing essential term
tools
Extracts regulatory obligations from dense regulations across jurisdictions. Breaks down multi-level regulations into clear article-level obligations, classifies applicability to a business, and prioritizes by risk level. Use when translating regulations into actionable compliance requirements.
development
Continuously monitors regulatory landscapes for changes relevant to a specific business. Ingests global regulatory updates, filters by relevance, summarizes impact, and produces an actionable change advisory. Use when tracking regulatory developments affecting a particular product or market.
testing
Compares an organization's existing compliance controls, policies, and procedures against extracted regulatory obligations to identify coverage gaps. Produces a remediation plan with prioritized actions. Use when assessing compliance maturity or preparing for regulatory audits.