mcpbeat

Qualify Lead

langchain-ai/qualify-lead

Use when the user wants to qualify a sales lead or prospect.

250 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
19
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository 
npx skills add https://github.com/langchain-ai/lca-deepagents --skill qualify-lead

The instruction itself

2 sections, as written by the author

Qualify a Lead

Use the BANT framework to qualify the prospect systematically.

Step 1: Budget: Ask what budget range they are working with and how purchasing decisions are made in their organisation.

Step 2: Authority: Confirm whether you are speaking with the decision maker. If not, ask who is and whether they can be involved.

Step 3: Need: Understand the specific pain point. What problem are they trying to solve? What happens if it stays unsolved?

Step 4: Timeline: Ask when they are looking to make a decision and when they would need the solution running.

Output

After gathering responses, classify the lead and summarise your findings:

  • Qualified: clear budget, authority confirmed, defined need, decision within 90 days
  • Nurture: one or more gaps; recommend a follow-up in 30 days
  • Disqualify: no budget, no authority, or no real need identified

How to use it

Copy the folder

Take langchain-ai/qualify-lead from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.