One Skill in Claude Replaces My 7 Sales GPTs. Here Is How.
TL;DR
Claude Skills save your process and knowledge in reusable prompts that run together in a single conversation. They share context and build on each other. I use them for sales — prospect research, personalized emails, call prep, objection handling — but the pattern works for any workflow.
The problem with custom GPTs
I was an SDR and BDR at Salesforce. When I started using AI for sales, I built 7 custom GPTs. One for prospect research. One for email drafts. One for call notes. One for objection handling. And so on.
The problem: none of them talked to each other. Every time I switched from research to email drafting, I had to copy and paste the context. For every single prospect. Research output into the email GPT. Email thread into the call prep GPT. Call notes back into the CRM summary GPT.
Copy, paste, repeat. Dozens of times a day.
What Claude Skills change
A Skill is a saved process with your knowledge baked in. Think of it as a prompt that Claude remembers and can call automatically.
The difference from custom GPTs:
- Multiple Skills run in one conversation
- They share context automatically
- Each Skill builds on what the previous one produced
You do not copy and paste between tools. You load your Skills, start a conversation, and Claude chains them together.
The sales workflow
Here is what my setup looks like in practice:
Skill 1: Prospect Research
Takes a company name or LinkedIn URL. Pulls together what the company does, recent news, hiring patterns, tech stack signals, and strategic priorities. Outputs a structured research brief.
Skill 2: Personalized Outreach
Reads the research brief from Skill 1. Generates a first-touch email that references specific details — not generic "I saw your company is growing" filler. Every email is different because the research is different.
Skill 3: Call Preparation
Takes the research brief and any email thread history. Builds a call script with talking points, potential objections, and discovery questions tailored to that specific prospect.
Skill 4: Objection Handling
Trained on common objections in your industry. When you feed it a specific objection from a call, it generates responses grounded in your product's actual value propositions.
Why existing tools do not solve this
Most sales teams already use Clay, Apollo, or Sales Navigator. Those tools are excellent at finding leads and pulling data. They can tell you that Notion is hiring 3 AI Engineers.
What they cannot do is tell you why that matters for your pitch. Or what to say about it. Or how to connect it to your product's value proposition.
That is the gap Skills fill. They take raw data and turn it into strategic, personalized action.
Beyond sales
I use sales as the example because that is my background. But Skills work for any workflow where you chain multiple steps that need shared context.
- Content creation: research, outline, draft, edit
- Recruiting: job analysis, candidate screening, outreach
- Consulting: client intake, analysis, recommendation
The principle is the same: save your process, load it once, let the AI handle the chaining.
The carousel
The PDF below walks through the full setup step by step. It covers how to create Skills, how to structure them for sales, and how to chain them in a single conversation.
About the Author
Co-founder
Samuel is the co-founder of TRAX AI, helping SMEs across Europe automate repetitive tasks with custom AI solutions. He works hands-on with clients from first audit to production delivery.