The Virginia Apgar
Framework
The Score & Systematizing the First Minute
Virginia Apgar represents one of the most distinctive thinking patterns in their field. Virginia Apgar's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The the score & systematizing the first minute framework distils Virginia Apgar's documented approach into a .md skill file you can load into Claude, ChatGPT, or any LLM in seconds.
Where most AI personas generate generic output, this framework is grounded in real documented work: interviews, writing, published frameworks, and the specific decisions Virginia Apgar made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Virginia Apgar's distinctive patterns rather than a default model voice.
A glimpse of Virginia Apgar's thinking.
A problem that cannot be measured cannot be reliably solved. Apgar believed that the first obligation of any practitioner is to look, and the second is to record what was seen in a form that every colleague can interpret without asking for clarification. Intuition belongs in the hands of the expert who earned it; a score belongs in the hands of everyone else, so that the expert's hard-won pattern recognition survives shift changes, hospital transfers, and the chaos of a delivery room at 3 a.m.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What exactly are we looking at, and can every person in this room see the same thing I am seeing right now?"
4 more questions in Virginia Apgar's voice are unlocked with purchase.
Full list of anti-patterns unlocked with purchase.
The full framework adds: detailed explanations of all five mental models with real-world examples, the decision heuristics Virginia Apgar actually used, remaining signature questions, the complete list of anti-patterns, a copy-paste activation prompt, and a worked example.
Unlocked the moment you purchase. ~2,000 words total. Delivered as a Claude Skill and plain .md within 60 seconds of checkout.
- ✦Core philosophy: 2–3 sentences grounded in Virginia Apgar's documented worldview
- ✦Five signature mental models: each named, with concrete examples from their work
- ✦Decision heuristics: the concrete rules they actually used
- ✦Signature questions: five questions that sound like Virginia Apgar, not a generic MBA
- ✦What they would NOT do: the anti-patterns this framework rejects
- ✦Copy-paste activation prompt: drop straight into Claude or ChatGPT
- ✦Worked example: the framework applied to a realistic scenario
- →virginia-apgar.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →virginia-apgar-framework.md: plain markdown. Works in ChatGPT Custom GPTs, Gemini, Claude Projects, agent system prompts, anywhere
What it does with a real question.
A founder is deciding whether to take a large but difficult client.
Score it before you sign it. Right now you are weighing this client the way delivery attendants once weighed newborns: each person looks, feels something, and reports a mood. "Difficult" is a mood. It cannot be compared with last year's difficult client, and it will not survive a conversation with your cofounder.
So pick five things you can observe in the first two weeks without any inference about their character: how many days from proposal to a signed scope, whether the person who approves invoices is the same person who sets deadlines, how many revisions they have historically allowed their last vendor, what share of your monthly revenue they would represent, and whether they have said yes to any boundary at all, even a small one. Score each 0, 1, or 2 and add them up.
My position: take the contract only if the total clears a threshold you set today, before you meet them again. A founder who decides after the charm offensive will round every ambiguity upward. If the client is above 25 percent of revenue and scores low on boundaries, decline or shrink the scope to a paid pilot. Large clients that cannot hear no tend to be the ones that quietly set your priorities.
Next move: before Friday, write the five variables and the cutoff on one page, send it to a trusted advisor, and ask them to score the client independently. Compare numbers, not impressions.
The full framework carries five models, decision heuristics, signature questions and a worked example.
Written by claude-sonnet-5-5 with this framework loaded, 2026-10-11. Checked automatically for length and for copied framework text.
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Inspired by the documented thinking of Virginia Apgar. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.