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Improving skills from run logs v1.0.0

Use this resource to find failures and slow steps in a skill's run logs and propose fixes

New

  • 598 downloads
  • 206 likes
  • 249 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install skill-improvement-from-runs

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 a run's state and event log, and spots blockers, slow steps and unclear instructions. It writes a list of improvements and can suggest a minimal patch to the SKILL.md. You get an improvements file ready to turn into tasks.

Mostly picked by

Updated November 2, 2026

Card for the “Improving skills from run logs” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: analysis of events.jsonl and state.json logs
  • SKILL.md: template for the improvements report

Good fit for

  • Your agent workflows often fail at the same step
  • You want to evolve a skill based on real runs

Not for

    Tags

    • skills
    • logs
    • improvement
    • agents
    • runs

    About

    You say

    “Analyze the last run of the quote-generation skill and suggest improvements.”

    Card for the “Improving skills from run logs” skill

    Skill published by heyvhuang 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 failures and slow steps in a skill's run logs and propose fixes
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.7 KB

    Origin and licence

    Listed unmodified

    Author
    heyvhuang
    Source
    github.com/heyvhuang/ship-faster/tree/64047d24e0ecb513a5aa879767d95ec7e0e44462/skills/skill-improver
    Licence
    MIT

    Notice

    « skill-improver » (heyvhuang, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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