thesis-matching
Matches inbound deals against investment thesis criteria and fund strategy
npx skills add a5c-ai/babysitter --skill thesis-matching --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.
# Thesis Matching ## Overview 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. ## Capabilities ### Investment Thesis Encoding - Encode multi-dimensional investment thesis criteria - Define sector focus areas and exclusions - Specify stage preferences and check size ranges - Articulate strategic themes and conviction areas ### Deal Matching Analysis - Match incoming deals against thesis dimensions - Score alignment across criteria with weighted importance - Identify thesis exceptions worth considering - Flag anti-thesis or exclusion criteria matches ### Portfolio Construction Fit - Assess portfolio concentration and diversification - Check against sector and stage allocation targets - Evaluate vintage year and deployment pacing - Consider follow-on reserve requirements ### Thesis Evolution Tracking - Track thesis adjustments over fund lifecycle - Document thesis exceptions and rationale - Analyze deal flow patterns vs. thesis alignment - Support thesis refinement fo
- Overview
- Capabilities
- Investment Thesis Encoding
- Deal Matching Analysis
- Portfolio Construction Fit
- Thesis Evolution Tracking
- Usage
- Match Deal to Thesis
- Triage Inbound Flow
- Analyze Portfolio Fit
- Update Thesis Definition
- Thesis Dimensions
- Integration Points
- Best Practices
What does the thesis-matching skill do?
Matches inbound deals against investment thesis criteria and fund strategy
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill thesis-matching --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.