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Recurring sales objection patterns v1.0.0

Use this resource to find the objections that cost deals and prepare responses

New

  • 577 downloads
  • 157 likes
  • 138 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install sales-objection-patterns

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 reviews lost-deal notes to find recurring objections and how often each one comes up. It uses won deals to build responses that have worked. You get an objection playbook for training and meetings.

Mostly picked by

Updated November 2, 2026

Card for the “Recurring sales objection patterns” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: pattern detection method and output format
  • SKILL.md: recommendations and response templates

Good fit for

  • You keep losing on the same argument without knowing why
  • Your sales team lacks ready-made answers to objections

Not for

    Tags

    • objections
    • sales
    • lost deals
    • training

    About

    You say

    “Analyze the notes on our twenty lost deals this quarter and propose a response to each recurring objection.”

    Card for the “Recurring sales objection patterns” 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 find the objections that cost deals and prepare responses
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.4 KB

    Origin and licence

    Listed unmodified

    Author
    onewave-ai
    Source
    github.com/onewave-ai/claude-skills/tree/b2267d9171af4f56848d82992381b20b89b44056/objection-pattern-detector
    Licence
    MIT

    Notice

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

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