The Charles Green
Framework
Trust-Based Selling & the Trust Equation in Practice
Charles Green represents one of the most distinctive thinking patterns in their field. Charles Green's approach, captured in this framework as mental models, decision heuristics, and the signature questions they would ask.
The trust-based selling & the trust equation in practice framework distils Charles Green'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 Charles Green made when it mattered. Use it for decision-making, writing, strategy, or any situation where you want your AI to think with Charles Green's distinctive patterns rather than a default model voice.
A glimpse of Charles Green's thinking.
The fastest path to a sale is, paradoxically, to stop focusing on the sale. Green's central argument, developed across *The Trusted Advisor* (Maister, Green, and Galford, 2000) and *Trust-Based Selling* (2006), is that trustworthiness is a ratio, not a trait, and that most advisors destroy trust not through incompetence but through excessive self-orientation. The advisor's job is to make the client successful; revenue follows from that commitment as a consequence, not as a goal.
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Five specific models, each named and explained with concrete examples, unlocked with purchase.
"What would have to be true about your situation for this recommendation to be the wrong one?"
4 more questions in Charles Green'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 Charles Green 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 Charles Green'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 Charles Green, 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
- →charles-green.zip: a native Claude Skill. Upload to Settings → Skills in Claude, or unzip to
~/.claude/skills/ - →charles-green-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.
Take the client only if the difficulty is about the work, not about you. A large client that is hard because the problem is gnarly, the stakeholders are political, or the scope is fluid can be a gift. A large client that is hard because they treat vendors as disposable, haggle every invoice, and punish candor will quietly teach your whole company to protect itself instead of advising well.
The test I would apply is Self-Orientation, yours and your team's. If you sign this client, whose interests will your people be tracking by month four? If the revenue is large enough that you will start shading your honest recommendations to keep the account safe, the ratio collapses, and you will have bought a dependency, not a relationship. Founders under growth pressure underestimate this. The warning sign is whether you can imagine telling this client, in the first ninety days, something unwelcome and surviving it.
So do not decide from the proposal. Request a working session with the people who will actually live with your advice, and use it to say one hard, specific thing about their situation before any contract exists. Watch what happens. If they lean in and argue with substance, the difficulty is workable and the account can become your best source of referrals. If they bristle, change the subject to price, or ask who else you have worked for, you have your answer, and declining will cost you less than serving them badly.
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 Charles Green. A mental-model toolkit, not a literal representation. Delivered as a .md file compatible with Claude, ChatGPT, Gemini, and any LLM.