analyzing-secondary-transactions
Evaluates secondary market transactions with NAV assessment, discount/premium analysis, and portfolio evaluation. Use when analyzing secondary deals, pricing LP interests, or evaluating GP-led secondaries.
Best use case
analyzing-secondary-transactions is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates secondary market transactions with NAV assessment, discount/premium analysis, and portfolio evaluation. Use when analyzing secondary deals, pricing LP interests, or evaluating GP-led secondaries.
Teams using analyzing-secondary-transactions should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/analyzing-secondary-transactions/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-secondary-transactions Compares
| Feature / Agent | analyzing-secondary-transactions | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Evaluates secondary market transactions with NAV assessment, discount/premium analysis, and portfolio evaluation. Use when analyzing secondary deals, pricing LP interests, or evaluating GP-led secondaries.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Analyzing Secondary Transactions Evaluates secondary market transactions including LP interest sales, GP-led continuation vehicles, strip sales, and preferred equity secondaries. Covers NAV assessment, discount/premium calibration, portfolio-level evaluation, and deal structuring considerations. ## When To Use - Pricing an LP interest in a PE/VC/growth equity fund for sale or purchase on the secondary market - Evaluating a GP-led secondary (single-asset continuation, multi-asset roll-up, tender offer) - Assessing a portfolio of fund interests for a bulk secondary bid - Benchmarking a proposed discount or premium against comparable transactions - Reviewing a secondary fund's pipeline or existing portfolio for valuation reasonableness ## Inputs To Gather - **Fund information**: Fund name, vintage year, strategy, GP track record, fund size, fund term and remaining life - **NAV data**: Most recent reported NAV, NAV date, valuation methodology (mark-to-market vs. mark-to-model), audited vs. unaudited status - **Cash flow history**: Called capital, distributions to date, remaining unfunded commitments, DPI and TVPI as reported - **Portfolio details**: Underlying company list, sector mix, revenue/EBITDA multiples where available, holding periods, exit pipeline - **Deal terms**: Proposed price (as % of NAV), deferred consideration or earnout structures, stapled commitment requirements, transfer restrictions or ROFR provisions - **Market context**: Recent comparable secondary transactions, broker quotes, secondary market volume and pricing trends [VERIFY current market data against recent broker reports such as Greenhill, Jefferies, Lazard] ## Workflow 1. **Validate NAV quality** - Determine NAV staleness (months since last reported NAV; adjust if >3 months) - Assess valuation methodology rigor — identify any marks based on cost, round-to-round, or third-party appraisals - Flag concentrated positions (>20% of NAV in a single asset) as higher-risk marks - Check for pending write-downs, known exits since NAV date, or capital calls that shift the reference point 2. **Compute adjusted NAV** - Roll forward NAV for known interim events: distributions received, capital called, announced exits or write-downs - Apply sector or comparable-company multiple adjustments where public market equivalents have moved materially since the NAV date - Produce a base-case adjusted NAV and a stress-case adjusted NAV (e.g., 10–20% haircut on unrealized marks) 3. **Analyze discount/premium** - Express the bid price as a percentage of reported NAV and adjusted NAV - Benchmark against comparable secondary transactions by vintage, strategy, quartile ranking, and remaining fund life - Decompose the discount into components: illiquidity discount, J-curve risk (early vintage), GP quality premium/discount, portfolio concentration risk, unfunded commitment liability - For GP-led transactions, evaluate the implied valuation against recent third-party marks and comparable exit multiples 4. **Evaluate portfolio quality** - Categorize underlying assets by maturity stage (early, growth, mature, exit-ready) - Assess sector diversification and single-name concentration risk - Review exit visibility: identify assets with clear near-term exit pathways (IPO pipeline, announced M&A) vs. long-duration holds - For VC-heavy portfolios, apply power-law return assumptions and stress-test top holdings 5. **Assess deal structure and terms** - Quantify unfunded commitment exposure and expected call schedule — model net cash flow profile - Evaluate transfer restrictions: ROFR timelines, LP Advisory Committee consent requirements, GP consent [VERIFY against fund LPA] - Analyze stapled commitment provisions (new primary commitment required alongside secondary purchase) - For GP-led deals, review alignment terms: GP rollover percentage, management fee reset, carry crystallization 6. **Model returns** - Build a base-case, upside, and downside scenario for net IRR and net MOIC from entry price - Key assumptions: holding period to full liquidation, distribution pacing, remaining value creation - Sensitivity analysis on entry price (discount to NAV) vs. exit multiple vs. hold period - Compare projected returns against the buyer's target return hurdle ## Output Produce a structured analysis report with these sections: - **Executive Summary**: Deal overview, recommended bid range (as % of NAV), key risk factors, go/no-go recommendation - **NAV Assessment**: Reported vs. adjusted NAV, quality of marks, staleness adjustment - **Discount/Premium Analysis**: Proposed pricing vs. benchmarks, discount decomposition - **Portfolio Review**: Asset-level summary table, concentration metrics, exit pipeline assessment - **Cash Flow & Return Model**: Projected net IRR and MOIC under base/upside/downside scenarios, sensitivity tables - **Deal Structure Notes**: Transfer mechanics, unfunded exposure, stapled commitments, key LPA provisions - **Risk Factors**: Top 3–5 risks with mitigation considerations ## Quality Checks - Confirmed NAV date and adjusted for interim events — never price off a stale, unadjusted NAV - Discount benchmarking uses transactions within a comparable vintage, strategy, and time window (ideally trailing 12 months) - Return model assumptions are internally consistent (e.g., distribution pacing aligns with portfolio maturity) - Unfunded commitment liability is fully reflected in the total cost basis and return calculations - All GP consent, ROFR, and transfer restriction provisions are flagged [VERIFY against specific fund LPA terms] - Stapled commitment terms are modeled as a separate cash outflow, not blended into the secondary pricing - Assumptions clearly labeled; uncertain data points marked with [VERIFY]
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