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Scoring, segmenting and checking a prospect list v1.0.0

Use this resource to score and segment a prospect list before handover

New

  • 412 downloads
  • 189 likes
  • 191 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install prospect-list-scoring-segments

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

A step of the research-audience playbook: the agent gives each row a score with its reason, tiers rows A and B, then groups them into three to six segments by angle. It runs the pre-handover checks and writes the list files, with tier C rows set aside in a separate file. Use it through research-audience.

Mostly picked by

Updated November 2, 2026

Card for the “Scoring, segmenting and checking a prospect list” skill

Details

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

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What you get

  • SKILL.md: scoring and tier rules
  • SKILL.md: segment grouping and pre-handover checks

Good fit for

  • You have a raw list to sort before outreach
  • You want a message angle for each group of prospects

Not for

    Tags

    • prospects
    • scoring
    • segmentation
    • list
    • B2B

    About

    You say

    “Score and segment this list of 400 companies, and set aside the off-target ones.”

    Card for the “Scoring, segmenting and checking a prospect list” skill

    Skill published by gooseworks-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 score and segment a prospect list before handover
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.5 KB
    • skill.meta.json0.4 KB

    Origin and licence

    Listed unmodified

    Author
    gooseworks-ai
    Source
    github.com/gooseworks-ai/goose-skills/tree/1add09bd8e0d057e91e25c96b9282498e2fcb2a2/skills/marketing/research-audience-score-segment-qa
    Licence
    MIT

    Notice

    « research-audience-score-segment-qa » (gooseworks-ai, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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