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Firecrawl latency tuning v1.0.0

Use this resource to speed up a working Firecrawl integration by changing one setting at a time

New

  • 419 downloads
  • 173 likes
  • 185 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install scraping-api-latency-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 measures the full path, from submission to downstream recording, then adjusts scope, formats, cache freshness, async mode or pagination. It changes one control at a time to preserve freshness and completeness. You get before-and-after measurements and a documented decision.

Mostly picked by

Updated November 2, 2026

Card for the “Firecrawl latency tuning” skill

Details

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

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What you get

  • SKILL.md: measurement method, settings and approval checks
  • references/official-docs.md: cache options and documented parameters

Good fit for

  • A Firecrawl integration works but is too slow
  • The cache returns pages that are too old after a setting change

Not for

    Tags

    • firecrawl
    • latency
    • cache
    • performance

    About

    You say

    “Reduce the latency of our Firecrawl crawl without losing recent pages.”

    Card for the “Firecrawl latency 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 a working Firecrawl integration by changing one setting at a time
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.6 KB
    • references/official-docs.md1.8 KB
    • SKILL.md4.3 KB

    Origin and licence

    Listed unmodified

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

    Notice

    « firecrawl-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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