
Claude
the skill plays the role of a sales intelligence analyst inside Claude. Give it a company and a goal (selling, partnering, hiring), and it pulls the relevant people from FullEnrich, infers their hierarchy from titles and seniority, generates a Mermaid org chart you can paste anywhere, and recommends who to talk to first (decision-maker, champion, potential blocker), with a one-line explanation per person.
1. Connect the FullEnrich MCP to Claude
This skill needs only one MCP active in your Claude workspace:
FullEnrich MCP at
https://mcp.fullenrich.com/mcp
New to MCPs? Follow the FullEnrich MCP setup guide.
2. Install the skill in Claude
Click Download Skill above to grab the skill .zip file, then install it in Claude:
Open Customize in Claude
Click Create new skill
Click the + button at the top
Choose Create Skill
Pick Upload a skill and select the
.zipyou just downloaded
3. Drop the company you want to map
Activate the skill by sending Claude a company with intent. Examples:
"Map the org chart at Stripe"
"Who works at dust.tt? Show me the team structure"
"I want to sell a DevOps tool to Datadog, who should I talk to?"
"Organigramme de Alan, je veux comprendre l'équipe engineering"
Company name, domain, or LinkedIn company URL all work. If the name is ambiguous (e.g. a generic word), the skill asks for the domain or LinkedIn URL to be sure.
4. Confirm scope and objective
Two quick questions before searching, because the same company looks completely different depending on what you are after:
Scope: full company, leadership only, or a specific department (Engineering, Sales, Product, etc.). For companies above 50 employees, the skill recommends scoping to a department so the data stays useful.
Objective: selling a product or service, partnership / BD, recruitment, or general research. This shapes the contact recommendations in step 6.
5. Get the team and the inferred hierarchy
The skill runs targeted searches by seniority (C-level + VP, then Directors + Heads of, then Managers if you asked for full depth), deduplicates the results, and groups people by function (Engineering, Sales, Marketing, Product, Operations, Finance, HR, Legal, Other) inferred from their titles. Important caveat shown on every result: "This org chart is based on title analysis, actual reporting lines may differ."
6. Mermaid org chart + contact recommendations
You get two things in chat:
A Mermaid diagram ready to paste into Notion, Linear, GitHub, or any tool that renders Mermaid. Top levels (CEO, C-suite, VPs) form a clean tree, lower levels are grouped in subgraphs by function. Above 20 people, the skill caps the diagram at L4 and lists the rest as text below.
A "who to talk to" section tailored to your objective. For a sales goal you get a decision-maker 🎯, a champion ⭐, and a potential blocker ⚠️, each with a one-sentence explanation of why they matter and a suggested approach. For partnerships, a partnership lead and an exec sponsor. For recruitment, the hiring manager, a team lead, and HR if found.
A short intelligence note at the end calls out signals from the structure (e.g. "Engineering has 15 people vs 3 in Sales, this is a product-led company", "No Head of Security found, hiring opportunity or handled by the CTO", "VP Marketing joined 3 months ago, likely still building their team").
Built-in safeguards: the hierarchy is inferred from titles, never invented. The skill always discloses this. It calibrates titles against company size (a "CTO" at a 10-person startup and a "CTO" at Google are different roles), runs targeted searches by seniority instead of trying to paginate, and never forces a tree structure on a genuinely flat company. Enrichment of the recommended contacts is opt-in and always asks for explicit confirmation on the credit cost.
What is next? After delivering the org chart and recommendations, the skill offers natural follow-ups: enrich the recommended contacts with email and phone, prepare a meeting brief on one of them, draft personalized outreach for each, or push them to your CRM (HubSpot, Attio, Monday, Notion, Airtable).
Troubleshooting
Claude says the FullEnrich MCP is not connected
Open Claude settings and connect https://mcp.fullenrich.com/mcp. The skill resumes on the next message.
"Multiple companies match this name"
The company name is ambiguous (e.g. Anthropic the lab vs. another firm with the same name). Reply with the domain or LinkedIn company URL and the skill picks the right one.
Search returns very few people
Two reasons: the company is small, or FullEnrich does not have the full team indexed. The skill is honest about it instead of inventing a hierarchy. Try widening the scope (full company instead of one department).
Org chart looks too flat
Some companies are genuinely flat (5 co-founders + a few engineers). The skill presents what the data supports, no fabricated layers.
Mermaid diagram does not render in your tool
The skill always pairs the diagram with a text summary listing every person under their function. Copy the text version if Mermaid is not supported in your destination.
"CREDITS_INSUFFICIENT" on enrichment
Despite the name, this status means no data was found for that contact, not that you are out of credits. The skill flags this clearly when it surfaces.
