Matches inbound deals against investment thesis criteria and fund strategy
Analyzes inbound investment deals against fund thesis criteria and portfolio strategy for rapid triage.
npx claudepluginhub a5c-ai/babysitterThis skill is limited to using the following tools:
The Thesis Matching skill provides systematic matching of inbound investment opportunities against the fund's investment thesis, strategic priorities, and portfolio construction criteria. It enables rapid triage of deal flow while ensuring alignment with fund strategy.
Input: Deal summary, company data, sector classification
Process: Compare against thesis criteria, score alignment
Output: Thesis match score, alignment details, flags
Input: Batch of inbound deals
Process: Rapid thesis matching and prioritization
Output: Prioritized list, pass recommendations, review queue
Input: Potential investment, current portfolio
Process: Assess concentration, diversification, reserves
Output: Portfolio fit analysis, construction implications
Input: Revised thesis criteria, rationale
Process: Update thesis model, recalculate pipeline matches
Output: Updated thesis, pipeline re-scoring results
| Dimension | Typical Criteria |
|---|---|
| Sector | Software, Healthcare, Fintech, Consumer, etc. |
| Stage | Pre-seed, Seed, Series A, Growth |
| Geography | North America, Europe, Global |
| Business Model | SaaS, Marketplace, Consumer, Deep Tech |
| Check Size | $500K - $2M, $5M - $15M, etc. |
| Themes | AI/ML, Climate, Future of Work, etc. |
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