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Strava training load and power analysis v1.0.0

Use this resource to analyse your Strava training load and best power efforts

New

  • 403 downloads
  • 123 likes
  • 112 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install strava-training-load-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 syncs your Strava activities, computes training load (CTL and ATL), plots your power curves and the time spent in each zone. You get analyses the app does not offer.

Mostly picked by

Updated November 2, 2026

Card for the “Strava training load and power analysis” skill

Details

Generates with
Your agent's model
Licence
Apache-2.0

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What you get

  • SKILL.md : sync and activity commands
  • SKILL.md : pre-race form, best efforts and decoupled long run recipes

Good fit for

  • You are preparing a race and want to check your load
  • You want your best power efforts for the year

Not for

    Tags

    • strava
    • training
    • power
    • load

    About

    You say

    “Where is my training load before Sunday's race?”

    Card for the “Strava training load and power analysis” skill

    Skill published by azaaron 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 analyse your Strava training load and best power efforts
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE11.3 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md14.8 KB

    Origin and licence

    Listed unmodified

    Author
    azaaron
    Source
    github.com/mvanhorn/printing-press-library/tree/b7f184dc0b34ea3e16e85407ba028d828f59e085/cli-skills/pp-strava
    Licence
    Apache-2.0

    Notice

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

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