business-archetype-classifier

Classify how a company creates and delivers value to route downstream operating decisions.

Updated Aug 22, 2026
One-click install
npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill business-archetype-classifier-fritzgeraldz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: business-archetype-classifier
Source: https://github.com/fritzgeraldz/Vibe-Managing/tree/main/skills/adaptation/business-archetype-classifier
Command: npx skills add https://github.com/fritzgeraldz/Vibe-Managing --skill business-archetype-classifier-fritzgeraldz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Founders and agents often apply generic business advice that ignores how a specific company actually creates and delivers value, leading to misaligned benchmarks, wrong operating plans, and poorly routed decisions. This Skill produces an evidence-backed classification of the company's business archetype so every downstream analysis uses the correct operating logic. ## Core Features & Use Cases - Archetype Classification: Identifies payer, user, unit economics, fulfillment model, recurrence, asset intensity, regulation, channel, geography, and network effects, then assigns primary and secondary archetypes with evidence and confidence scores. - Context-Aware Decision Framework: Integrates industry profile, business model, stage, maturity, and jurisdiction to quantify constraints, risk-adjusted value, and second-order effects in a Business Digital Twin. - Governed Execution: Ranks options by constraint compliance and confidence-weighted value, executes only authorized reversible actions, and routes material commitments to human approvers. - Use Case: A founder asks whether to expand into a new channel. The agent classifies the company's archetype, loads the relevant industry operating profile, simulates options against cash and risk constraints, and recommends the highest confidence-weighted plan with monitoring thresholds. ## Quick Start Use the business archetype classifier to determine our company's primary and secondary archetypes and recommend an operating plan within our cash and risk limits.

Frequently Asked Questions about business-archetype-classifier

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

FAQPage Schema
How do I classify my company's business archetype?▼

Provide the company's payer, user, unit economics, fulfillment model, recurrence, asset intensity, regulation, channel, geography, and network effects. The classifier assigns primary and secondary archetypes with evidence, confidence scores, and decision implications for each.

What is a business archetype classifier used for?▼

It determines how a company creates and delivers value so downstream skills and agents apply the correct operating logic, benchmarks, and industry profiles. It prevents generic advice from being applied to businesses with fundamentally different models.

What inputs does the archetype classification require?▼

It requires company context, goals, strategy, metrics, prior decisions, industry profile ID, business model profile IDs, stage, maturity, jurisdictions, and risk tolerance. Missing facts are retrieved from memory, derived only with explicit formulas, or asked in one concise batch.

When should I not use business archetype classification?▼

Do not use generic benchmarks before benchmark calibration establishes comparability, and do not make legal, tax, clinical, or regulated determinations that require licensed specialists. During active emergencies, invoke the incident or crisis workflow first.

Does the classifier make autonomous business decisions?▼

It executes only authorized low-risk reversible internal actions at autonomy levels L0 through L2. Money movement, binding commitments, pricing changes, external communication, and employment actions always require named human approval.

How is classification quality measured over time?▼

Quality is tracked through classification confidence, downstream routing accuracy, and override frequency KPIs, each with baseline, target, actual, trend, and owner. Recommendations are recalibrated by comparing expected versus actual results at each review.