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Forecast generation v1.0.0

Use this resource to build forecasts from data

New

  • 481 downloads
  • 186 likes
  • 175 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install business-forecast-generation

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

It triggers on requests such as “forecast generator”. The content is a generic framework (overview, instructions, examples, error handling): the card does not describe a specific function beyond that framework.

Mostly picked by

Updated November 2, 2026

Card for the “Forecast generation” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: generic framework with overview, instructions and examples
  • SKILL.md: prerequisites, output format and error handling

Good fit for

  • You want a starting point to anticipate your sales
  • You are preparing a forecast report for a client

Not for

    Tags

    • forecast
    • data
    • analysis
    • sales
    • reporting

    About

    You say

    “Use the forecast generator skill to project my sales for the next six months.”

    Card for the “Forecast generation” skill

    Skill published by Jeremy Longshore <jeremy@intentsolutions.io> 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 build forecasts from data
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md2.3 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/12-data-analytics/forecast-generator
    Licence
    MIT

    Notice

    « forecast-generator » (Jeremy Longshore <jeremy@intentsolutions.io>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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