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Backend performance bottleneck analysis v1.0.0

Use this resource to find and fix performance bottlenecks in an endpoint

New

  • 401 downloads
  • 226 likes
  • 141 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install backend-bottleneck-analysis

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 first runs a performance scan, then reads the code path and looks for N+1 queries, missing indexes, synchronous operations and caching opportunities. It ends with an analysis report and the fixes to apply.

Mostly picked by

Updated November 2, 2026

Card for the “Backend performance bottleneck analysis” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: scan, code reading and query check steps
  • SKILL.md: performance analysis report template

Good fit for

  • An endpoint takes several seconds to respond
  • One list request fires dozens of queries

Not for

    Tags

    • performance
    • n+1
    • backend
    • queries

    About

    You say

    “Why is the orders endpoint slow? Look for N+1 queries and propose fixes.”

    Card for the “Backend performance bottleneck analysis” skill

    Skill published by tonone-ai <hello@tonone.ai> 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 find and fix performance bottlenecks in an endpoint
    3. Review and adjust the result

    Content preview

    Files

    • .claude-plugin/plugin.json0.5 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md5.2 KB

    Origin and licence

    Listed unmodified

    Author
    tonone-ai <hello@tonone.ai>
    Source
    github.com/jeremylongshore/tons-of-skills-marketplace/tree/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/ai-agency/tonone/skills/spine-perf
    Licence
    MIT

    Notice

    « spine-perf » (tonone-ai <hello@tonone.ai>, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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