Skills olo-deal-screening
Target company evaluation and deal qualification for PE and strategic buyers
install
source · Clone the upstream repo
git clone https://github.com/openclaw/skills
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aniebyl/olo-deal-screening" ~/.claude/skills/clawdbot-skills-olo-deal-screening && rm -rf "$T"
manifest:
skills/aniebyl/olo-deal-screening/SKILL.mdsource content
Deal Screening for M&A
Score and qualify acquisition targets against buyer investment criteria.
Screening Framework
Evaluate targets across five dimensions, each scored 0-100:
1. Strategic Fit (25% weight)
- Industry/sector alignment with buyer portfolio
- Geographic fit (markets, operations, customer base)
- Product/service complementarity
- Technology or capability gap fill
- Brand and market position value
2. Financial Profile (25% weight)
- Revenue scale (minimum threshold check)
- Revenue growth trajectory (3-year trend)
- EBITDA margin vs. industry benchmark
- Revenue quality (recurring vs. one-time, customer concentration)
- Working capital efficiency
3. Valuation Attractiveness (20% weight)
- EV/EBITDA vs. comparable transactions
- EV/Revenue vs. sector median
- Implied IRR at estimated purchase price
- Multiple arbitrage potential (buy low, exit higher)
4. Risk Profile (15% weight)
- Customer concentration (top 10 customers as % of revenue)
- Key-person dependency
- Regulatory exposure
- Technology obsolescence risk
- Litigation or compliance issues
5. Execution Feasibility (15% weight)
- Management team quality and retention likelihood
- Integration complexity estimate
- Competitive auction dynamics
- Seller motivation and timeline
- Financing availability
Scoring Output
Overall Fit Score: 78/100 — PROCEED TO DD Strategic Fit: 85/100 ████████░░ Financial Profile: 72/100 ███████░░░ Valuation: 80/100 ████████░░ Risk Profile: 68/100 ██████░░░░ Execution: 82/100 ████████░░ Recommendation: PROCEED TO DD Key Strengths: [top 3] Key Concerns: [top 3] Suggested Next Steps: [prioritized actions]
Thresholds
| Score Range | Recommendation |
|---|---|
| 80-100 | Strong fit — prioritize for DD |
| 65-79 | Good fit — proceed with caution |
| 50-64 | Marginal — requires strategic justification |
| Below 50 | Poor fit — pass unless compelling thesis |
Deal-Breaker Checks (Auto-Fail)
Before scoring, check for absolute disqualifiers:
- Revenue below buyer's minimum threshold
- Negative EBITDA (unless growth-stage thesis)
- Active material litigation exceeding 20% of EV
- Sanctioned entities in ownership chain
- Industry explicitly excluded by buyer mandate
PE-Specific Criteria
For financial sponsor buyers, additionally evaluate:
- LBO feasibility: Can the deal be levered 3-5x EBITDA?
- Value creation levers: Revenue growth, margin expansion, add-ons, multiple expansion
- Exit path: IPO viability, strategic buyer universe, sponsor-to-sponsor
- Hold period returns: Target 20-25% gross IRR over 3-5 years
- Fund fit: Check size, vintage, sector focus, geographic mandate
Output Format
Provide structured JSON-compatible output with:
: 0-100overall_score
: proceed_to_dd | proceed_with_caution | passrecommendation
: object with each dimensiondimension_scores
: list of any auto-fail conditions triggereddeal_breakers
: top 3 positive factorsstrengths
: top 3 risk factorsconcerns
: prioritized action itemsnext_steps