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vc-founder-assessment

Evaluate founders against conviction_patterns JSONB and produce founder-assessment.md.

Updated Apr 10, 2026
Search Tags:#due-diligence#career-history#vc-diligence#founder-assessment#team-research#founder-market-fit#conviction-patterns
One-click install
npx skills add https://github.com/pepito105/Reidar.V2 --skill vc-founder-assessment
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: vc-founder-assessment
Source: https://github.com/pepito105/Reidar.V2/tree/main/skills/vc-research/vc-founder-assessment
Command: npx skills add https://github.com/pepito105/Reidar.V2 --skill vc-founder-assessment

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide rigorous, evidence-driven research to determine whether specific founders and their teams have the experience, domain insight, and execution capability required to succeed in early-stage, founder-led investments. The output clarifies founder-market fit, surfaces objective prior-outcome signals, and identifies team gaps that materially affect investment risk.

Core Features & Use Cases

  • Structured multi-wave research: Parallel searches for career histories, prior outcomes, public presence, and team composition to build verifiable evidence rather than impressions.
  • Member-level pattern matching: Compares founders to an investor's conviction_patterns JSONB to surface alignment with historical backing patterns without making recommendations.
  • Actionable output: Produces a standardized founder-assessment.md with founder profiles, team composition, founder-market fit judgment, hard questions, data gaps, and flags for follow-up.
  • Use Case: Ideal for VC analysts running due diligence on early-stage deals where the team is the primary investment thesis, or for integration into a vc-diligence-brief pipeline.

Quick Start

Run founder research on [Company Name] focusing on founders' career outcomes, domain expertise, technical depth, team composition, and alignment with my conviction_patterns and save the assessment to founder-assessment.md.

Frequently Asked Questions about vc-founder-assessment

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I assess founder-market fit during early-stage venture due diligence?▼

Founder assessment evaluates founders and founding teams for evidence of founder-market fit and execution capability using structured research across public signals and career histories. It produces a standardized assessment document surfacing prior-outcome signals and team composition gaps.

What is the best way to evaluate a founding team's execution capability for a VC deal?▼

Evaluating a founding team's execution capability requires parallel searches into member-level career histories and public presence to build verifiable evidence. It compares founders against historical conviction patterns to produce a standardized founder-assessment.md output.

Can I use conviction patterns to match founders against my historical VC backing criteria?▼

Yes, founder assessment matches founders against conviction patterns by comparing member-level research to an investor's conviction_patterns JSONB. This surfaces alignment with historical backing patterns during early-stage venture due diligence without making explicit investment recommendations.

How do I structure founder research to identify team gaps in early-stage investments?▼

Structure founder research by applying parallel searches across career histories, prior outcomes, and team composition. This process identifies member-level domain insight and technical depth, surfacing objective team gaps that materially affect investment risk in founder-led deals.

Does founder assessment work for standalone team evaluations outside of a full deal pipeline?▼

Yes, founder assessment applies to standalone founder assessments as well as early-stage venture due diligence and founder-led deals. It generates a standardized founder-assessment.md containing founder profiles, hard questions, and data gaps for integration into a vc-diligence-brief pipeline.

What limitations exist when researching public signals for prior founder outcomes?▼

Researching public signals for prior outcomes is limited by available verifiable data, which may leave data gaps in the founder-assessment.md. The assessment surfaces these data gaps and flags them for follow-up rather than relying on subjective impressions.

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