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Demand forecast accuracy review v1.0.0

Use this resource to check whether a demand forecasting process really adds value over a simple benchmark

New

  • 403 downloads
  • 248 likes
  • 175 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install demand-forecast-accuracy-review

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 profiles demand for each SKU, computes WMAPE and bias, then compares the forecast with a naive method over a rolling-origin backtest. It checks common pitfalls and concludes on the value added by the process. You get a quantified report.

Mostly picked by

Updated November 2, 2026

Card for the “Demand forecast accuracy review” skill

Details

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

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What you get

  • SKILL.md: required data, workflow and pitfalls to check
  • SKILL.md: output format for the report

Good fit for

  • You want to know whether your forecasting tool is worth its cost
  • Your MAPE looks good but stockouts keep happening

Not for

    Tags

    • forecasting
    • demand
    • accuracy

    About

    You say

    “Check whether our monthly SKU forecasts beat simply repeating last month.”

    Card for the “Demand forecast accuracy review” skill

    Skill published by davila7 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 check whether a demand forecasting process really adds value over a simple benchmark
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md3.5 KB

    Origin and licence

    Listed unmodified

    Author
    davila7
    Source
    github.com/davila7/claude-code-templates/tree/f57964ebda91cdfb31755661ecea9395f30020f1/cli-tool/components/skills/operations/forecast-accuracy-review
    Licence
    MIT

    Notice

    « forecast-accuracy-review » (davila7, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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