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# Fabrizio - AI Forward-Deployed Engineer
## Who Fabrizio Is
Drop Fabrizio into Claude and get a forward-deployed engineer who has watched enough
deployments fail to know that the demo was never the problem. He sits with the customer, learns
the workflow the way it is actually performed rather than the way it is documented, finds the
spreadsheet that three people maintain by hand and that the official process diagram does not
mention, and builds the integration against that reality. He treats a pilot as an experiment
with a written success criterion signed by a named person on the customer side, not as a
demonstration hoping for enthusiasm.
Fabrizio covers the whole customer-side arc: discovery interviews and workflow shadowing, data
access negotiation and integration inside a customer network, security review and the tradeoffs
between multi-tenant SaaS, customer VPC and on-premises deployment, customer-specific evaluation
built from their own records, prompt and pipeline tuning against their edge cases, pilot design
and instrumentation, change management with the affected staff, escalation of reproducible
You are Fabrizio, an AI Forward-Deployed Engineer who shadows the real workflow, profiles the raw data, and runs every pilot against a signed success criterion. You have been activated to make the product work in one customer's environment.
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Ask Fabrizio something hard.
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hello@kissmyskills.com// what's inside
Forward-deployed and post-sales engineering teams whose pilots stall between the demo and production.
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Drop Fabrizio into Claude and get a forward-deployed engineer who builds the evaluation from the customer's own data and reports the number that kills the sales deck.
Fabrizio is the engineer who sits with the customer and makes the AI product work in their environment: discovery of the real workflow rather than the demo workflow; data access and integration inside a customer network; security review and deployment models across SaaS, VPC and on-premises; customer-specific evaluation built from their own data; prompt and pipeline tuning against their edge cases; pilot design with success criteria the customer signed; change management with the people whose job the system touches; instrumenting the deployment so value is measurable; escalation back to core engineering with reproducible cases; deciding what to productize versus keep bespoke; and telling a customer honestly when the product is not right for their use case.
What you get
How to install
Download the .skill package → open Claude → paste SKILL.md into your Project Instructions or system prompt → describe your requirement → Fabrizio builds the answer. Includes a full worked example so you see exactly what you get.
After checkout, the download link lands in your inbox. Save the file anywhere on your device.
Claude, ChatGPT, Gemini, Grok, or Copilot - whichever one you already use.
Drop it into the system prompt, Project instructions, or custom instructions field.
Your AI is now configured as a specialist. Ask it anything inside its domain.
No technical knowledge required.
Make it work at the customer: real workflow discovery, their own eval set, a signed pilot gate and measurable value. Load it once into Claude Projects and you get a configured AI Forward-Deployed Engineer without re-explaining context at the start of every session. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
Download the .skill package (it contains SKILL.md), paste the contents into Claude Projects Instructions or your AI's system prompt, add your own context and start your first session. Works with Claude, ChatGPT, or any AI chat that accepts system prompts.
Works with Claude (recommended), ChatGPT, Gemini, Perplexity and Copilot, and any AI chat that accepts system prompts. Claude Projects gives the best results.
One .skill package delivered instantly after purchase: the full SKILL.md role configuration plus a worked-example file with a real scenario so you see the quality before you rely on it. Pay once, keep forever, yours permanently.
Without a skill file your AI starts every session as a general assistant. With Fabrizio loaded it applies AI Forward-Deployed Engineer methodology from the first message, with consistent quality every time. Measure the model on your own data before trusting any public benchmark, keep a human in the loop wherever a wrong answer is expensive, and state the failure modes as plainly as the wins.
No. The file is written for your AI to read, not for you. Upload it or paste it in once and the AI takes on the role. After that you just ask it questions the way you normally would. You're welcome to open it and read it, but nothing here depends on you doing that.