analyzing-add-on-acquisition-candidates
Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
Best use case
analyzing-add-on-acquisition-candidates is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
Teams using analyzing-add-on-acquisition-candidates 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-add-on-acquisition-candidates/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How analyzing-add-on-acquisition-candidates Compares
| Feature / Agent | analyzing-add-on-acquisition-candidates | 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 bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. Use when screening add-on targets, building platform acquisition strategies, or modeling tuck-in economics.
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 Add On Acquisition Candidates Evaluates bolt-on acquisitions for existing platforms with strategic fit, synergy quantification, and return contribution analysis. ## When To Use - Screening potential tuck-in or bolt-on targets against an existing portfolio company (platform) - Building a systematic add-on acquisition pipeline for a buy-and-build thesis - Modeling the incremental return impact of a bolt-on on the consolidated platform - Comparing multiple add-on candidates to prioritize deal pursuit - Preparing investment committee materials justifying an add-on acquisition ## Inputs To Gather - **Platform profile**: current revenue, EBITDA, margin structure, capital structure, entry multiple, and hold-period assumptions - **Target financials**: revenue, EBITDA (or SDE for smaller targets), margins, growth rate, customer concentration, and capex requirements - **Deal terms**: indicative purchase price or multiple range, expected financing mix (platform revolver draw, incremental term loan, seller note, earnout), and transaction costs - **Synergy hypotheses**: specific cost synergies (back-office consolidation, procurement leverage, facility rationalization) and revenue synergies (cross-sell, geographic expansion, product bundling) with estimated ramp timeline - **Integration considerations**: management retention needs, technology/ERP compatibility, cultural fit indicators, and customer/contract transferability risk - **Market context**: sub-sector multiples for comparable transactions, competitive landscape for targets, and fragmentation level of the addressable market ## Workflow 1. **Define strategic fit criteria** — Map the target against the platform's buy-and-build thesis. Score across dimensions: geographic fill-in, product/service adjacency, customer overlap vs. expansion, and capability acquisition. Disqualify targets that fail threshold fit on the primary thesis driver. 2. **Normalize target financials** — Recast the target's P&L to reflect pro forma adjustments: owner compensation normalization, one-time items, related-party transactions, and run-rate revenue/cost changes. Arrive at adjusted EBITDA and confirm the basis for the purchase multiple. [VERIFY] treatment of add-backs against lender underwriting standards for the platform's credit facility. 3. **Quantify synergies** — Build a bottoms-up synergy model: - **Cost synergies**: headcount reductions (with severance cost), insurance/benefits consolidation, vendor renegotiation, and facility overlap. Assign confidence tiers (high/medium/low) and realization timeline (Year 1 vs. Year 2+). - **Revenue synergies**: cross-sell pipeline value, price harmonization opportunity, and new market access. Discount revenue synergies more heavily (typically 50%+ haircut for IC purposes). - Calculate net synergies after one-time integration costs. 4. **Model return contribution** — Determine how the add-on affects consolidated platform returns: - **Multiple arbitrage**: entry multiple for the add-on vs. expected exit multiple for the consolidated entity. - **Accretion/dilution**: impact on consolidated EBITDA margin and free cash flow yield. - **Levered return impact**: model the add-on's contribution to platform equity IRR and MOIC under base, upside, and downside scenarios. Sensitize on purchase price, synergy realization rate, and exit multiple. - Flag whether the add-on is self-funding through platform cash flow or requires incremental equity. 5. **Assess integration risk** — Evaluate execution complexity across: - Management quality and retention (key-person dependency) - Systems integration timeline and cost - Customer contract portability and change-of-control provisions [VERIFY] - Regulatory or licensing requirements for the combined entity [VERIFY] - Working capital seasonality mismatches 6. **Rank and recommend** — If evaluating multiple candidates, produce a scoring matrix weighted toward the platform's strategic priorities. Summarize each target with a go/no-go recommendation and prioritized pursuit order. ## Output - **Candidate screening scorecard**: strategic fit scores across defined criteria with pass/fail thresholds - **Adjusted financials summary**: restated revenue, EBITDA, and margins for each target with clear add-back detail - **Synergy bridge**: itemized cost and revenue synergies with confidence levels, timing, and integration costs - **Return contribution analysis**: incremental IRR/MOIC impact on the consolidated platform under multiple scenarios, including sensitivity tables on price and synergy realization - **Integration risk matrix**: key risk areas rated by likelihood and severity with proposed mitigants - **Recommendation summary**: prioritized candidate ranking with deal pursuit rationale and suggested next steps (LOI terms, diligence workstreams) ## Quality Checks - Confirm add-back adjustments are supportable and consistent with lender and IC expectations — do not inflate adjusted EBITDA with speculative items - Verify that synergy estimates have operational backing (e.g., specific headcount, specific vendor contracts) rather than percentage-of-revenue assumptions - Ensure the return model correctly layers the add-on into the platform's existing capital structure (check debt covenants, revolver capacity, and permitted acquisition baskets) [VERIFY] - Cross-check implied acquisition multiples against comparable transaction data for the sub-sector - Confirm that integration cost estimates include all major categories: severance, IT migration, rebranding, lease termination, and professional fees - Flag any target where customer concentration exceeds 20% of revenue in a single account or where revenue is substantially contract-dependent with near-term renewal risk
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