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Forecast the cost of a Convex app v1.0.0

Use this resource to estimate Convex spending and find the costly functions

New

  • 504 downloads
  • 135 likes
  • 122 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install convex-spend-preview

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 reads your deployment's read statistics, attributes costs to the functions responsible and projects their growth. You get a ranking, an estimate and the cheapest fix to apply.

Mostly picked by

Updated November 2, 2026

Card for the “Forecast the cost of a Convex app” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md: measurement procedure and cost confirmation rules
  • SKILL.md: growth projection and function ranking

Good fit for

  • Your Convex bill grows faster than your traffic
  • You want to forecast cost before a traffic spike

Not for

    Tags

    • convex
    • cost
    • reads
    • projection

    About

    You say

    “Tell me which functions in my app cost the most and what it will cost at 10,000 users.”

    Card for the “Forecast the cost of a Convex app” skill

    Skill published by convex under the Apache-2.0 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 estimate Convex spending and find the costly functions
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE10.7 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md4 KB

    Origin and licence

    Listed unmodified

    Author
    convex
    Source
    github.com/convex/agent-skills/tree/3d1e9c6e288a23ed5f8ff28adab300d5b62a1686/skills/convex-cost
    Licence
    Apache-2.0

    Notice

    « convex-cost » (convex, Apache-2.0) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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