deal-scoring-engine
Automated deal scoring based on thesis alignment, market size, team, and traction metrics
Profile →npx skills add a5c-ai/babysitter --skill deal-scoring-engine --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Deal Scoring Engine ## Overview The Deal Scoring Engine skill provides automated, consistent evaluation of investment opportunities against defined criteria. It generates composite scores based on thesis alignment, market opportunity, team quality, and business traction to support pipeline prioritization and investment decisions. ## Capabilities ### Thesis Alignment Scoring - Match opportunities against fund investment thesis - Sector, stage, and geography fit assessment - Strategic priority alignment scoring - Anti-thesis and exclusion criteria flagging ### Market Opportunity Assessment - TAM/SAM/SOM scoring based on market data - Market growth rate and timing assessment - Competitive intensity evaluation - Regulatory and macro environment scoring ### Team Evaluation Scoring - Founder background and experience assessment - Domain expertise and market knowledge scoring - Team completeness and capability gaps - Track record and references scoring ### Traction and Metrics Scoring - Revenue and growth rate benchmarking - Unit economics (LTV/CAC, margins) scoring - Engagement and retention metrics assessment - Capital efficiency and burn rate evaluation ### Composite Score Generation
- Overview
- Capabilities
- Thesis Alignment Scoring
- Market Opportunity Assessment
- Team Evaluation Scoring
- Traction and Metrics Scoring
- Composite Score Generation
- Usage
- Score New Deal
- Configure Scoring Model
- Benchmark Against Portfolio
- Calibrate Model
- Scoring Dimensions
- Integration Points
What does the deal-scoring-engine skill do?
Automated deal scoring based on thesis alignment, market size, team, and traction metrics
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill deal-scoring-engine --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.