Agent skill

thesis-matching

Matches inbound deals against investment thesis criteria and fund strategy

Stars 514
Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/a5c-ai/babysitter/tree/main/library/specializations/domains/business/venture-capital/skills/thesis-matching

Metadata

Additional technical details for this skill

domain
business
skill id
vc-skill-004
specialization
venture-capital

SKILL.md

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 for successor funds

Usage

Match Deal to Thesis

Input: Deal summary, company data, sector classification
Process: Compare against thesis criteria, score alignment
Output: Thesis match score, alignment details, flags

Triage Inbound Flow

Input: Batch of inbound deals
Process: Rapid thesis matching and prioritization
Output: Prioritized list, pass recommendations, review queue

Analyze Portfolio Fit

Input: Potential investment, current portfolio
Process: Assess concentration, diversification, reserves
Output: Portfolio fit analysis, construction implications

Update Thesis Definition

Input: Revised thesis criteria, rationale
Process: Update thesis model, recalculate pipeline matches
Output: Updated thesis, pipeline re-scoring results

Thesis Dimensions

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.

Integration Points

  • Deal Flow Tracker: Automatic thesis scoring on deal entry
  • Deal Scoring Engine: Feed thesis match into composite score
  • Proactive Deal Sourcing: Guide sourcing toward thesis areas
  • IC Memo Generator: Include thesis alignment analysis

Best Practices

  1. Clearly document thesis with specific, measurable criteria
  2. Define "core thesis" vs. "opportunistic" boundaries
  3. Track and document all thesis exceptions
  4. Review thesis alignment quarterly with deal flow patterns
  5. Evolve thesis thoughtfully as market conditions change

Expand your agent's capabilities with these related and highly-rated skills.

a5c-ai/babysitter

gsd-tools

Central utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).

514 31
Explore
a5c-ai/babysitter

model-profile-resolution

Resolve model profile (quality/balanced/budget) at orchestration start and map agents to specific models. Enables cost/quality tradeoffs by selecting appropriate AI models for each agent role.

514 31
Explore
a5c-ai/babysitter

verification-suite

Plan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.

514 31
Explore
a5c-ai/babysitter

state-management

STATE.md reading, writing, and field-level updates. Provides cross-session state persistence via .planning/STATE.md with structured fields for current task, completed phases, blockers, decisions, and quick tasks.

514 31
Explore
a5c-ai/babysitter

git-integration

Git commit patterns, formats, and conventions for GSD methodology. Provides atomic commits per task, structured commit messages, planning file commits, branch management, and milestone tag operations.

514 31
Explore
a5c-ai/babysitter

frontmatter-parsing

YAML frontmatter parsing and manipulation for .planning/ documents. Provides read, write, update, query, and validation operations on frontmatter blocks in GSD markdown artifacts.

514 31
Explore

Didn't find tool you were looking for?

Be as detailed as possible for better results