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Lokalise performance tuning v1.0.0

Use this resource to speed up calls to the Lokalise API

New

  • 523 downloads
  • 137 likes
  • 161 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install lokalise-api-throughput-tuning

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 switches to cursor pagination, caches translation downloads and batches key operations. It throttles requests below the 6 requests-per-second limit and suggests selective downloads per language.

Mostly picked by

Updated November 2, 2026

Card for the “Lokalise performance tuning” skill

Details

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

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What you get

  • SKILL.md: pagination, caching, batch operations, throttling and benchmarks

Good fit for

  • Your Lokalise syncs are slow on a large key set
  • Your API calls fail because of rate limits

Not for

    Tags

    • lokalise
    • api
    • performance
    • caching
    • rate limit

    About

    You say

    “Tune my Lokalise sync: it goes over the 6 requests-per-second limit during each build.”

    Card for the “Lokalise performance tuning” 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 speed up calls to the Lokalise API
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • SKILL.md13.8 KB

    Origin and licence

    Listed unmodified

    Author
    Jeremy Longshore <jeremy@intentsolutions.io>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/skills/.curated/lokalise-performance-tuning
    Licence
    MIT

    Notice

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

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