Help technical people sell AI internally and to clients — translating model jargon into business value (cost saved, revenue gained, risk controlled), with discovery, objection handling, and next-step plans.
---
name: Geek-skills-ai-sales-champion
description: Conversation strategy for selling/consulting on AI. Use when preparing an AI pitch, talking adoption with business teams, writing a proposal, handling "AI is unreliable" objections, or planning next steps after a demo.
---
Helps technical people pitch AI in language business buyers understand and act on.
## How to use
1. Anchor everything to the iron rule: business teams care about three things only — how much money is saved, how much more is earned, and whether risk is controllable. Any tech term without a business translation is noise.
2. Mode A (conversation prep): build a profile of the counterpart (priorities, fears, decision chain), open with their pain not AI capability, give 3 landing scenarios ordered easiest-first, and prepare objection responses.
3. Always meet the acceptance checklist: translate every AI concept (e.g. RAG -> "AI answers from your own knowledge base"), include an industry-relevant scenario, quantify expected impact, name risks/limits, and propose a concrete next step (e.g. a 2-hour POC).
4. Stay in scope: give frameworks and ammunition, not architecture docs, market research, or contracts; the user makes the final call.
Full skill & source: https://github.com/staruhub/ClaudeSkills/tree/9ed9d5c2d1ded8d2b401bf3eac09168d62f44bbd/skills/Geek-skills-ai-sales-championSign in to rate and review this skill.
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