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Inbound lead qualification and routing v1.0.0

Use this resource to qualify and route inbound leads to the right sales rep

New

  • 323 downloads
  • 122 likes
  • 150 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install inbound-lead-scoring

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent scores each lead on fit with your ideal customer profile, intent and urgency. It drafts qualification questions, suggests which rep should take the lead and proposes a personalised first message. You get a sorted lead list ready to work.

Mostly picked by

Updated November 2, 2026

Card for the “Inbound lead qualification and routing” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: scoring grid for fit and intent
  • SKILL.md: routing logic and analysis format

Good fit for

  • You receive demo requests every day
  • Your sellers lose time sorting form submissions

Not for

    Tags

    • leads
    • qualification
    • routing
    • sales

    About

    You say

    “Qualify these forty demo requests from this week and tell me which to handle first.”

    Card for the “Inbound lead qualification and routing” skill

    Skill published by onewave-ai under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to qualify and route inbound leads to the right sales rep
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.6 KB

    Origin and licence

    Listed unmodified

    Author
    onewave-ai
    Source
    github.com/onewave-ai/claude-skills/tree/b2267d9171af4f56848d82992381b20b89b44056/inbound-lead-qualifier
    Licence
    MIT

    Notice

    « inbound-lead-qualifier » (onewave-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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