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Capturing and validating agent lessons v1.0.0

Use this resource to turn a correction or failure into a validated, reusable rule

New

  • 535 downloads
  • 213 likes
  • 187 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-lesson-capture-evals

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

After a failure, a correction from you, or a repeated workaround, the agent captures the signal and assesses whether it deserves keeping. It checks the lesson with executable eval cases before adding it to durable guidance. You get a traceable behavior change, with no automatic rewrite of skills.

Mostly picked by

Updated November 2, 2026

Card for the “Capturing and validating agent lessons” skill

Details

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

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What you get

  • SKILL.md: triggers, capture cycle, validation and application
  • evals/: executable eval cases and scoring rubric
  • references/: eval artifact format and learning lifecycle

Good fit for

  • The same workaround keeps coming back across sessions
  • You want the corrections you give the agent to be kept, not lost

Not for

    Tags

    • learning
    • evals
    • guidance
    • agents

    About

    You say

    “Keep the lesson from this migration mistake, but apply it only after it passes validation.”

    Card for the “Capturing and validating agent lessons” skill

    Skill published by zhaono1 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 turn a correction or failure into a validated, reusable rule
    3. Review and adjust the result

    Content preview

    Files

    • evals/cases.json1.9 KB
    • evals/rubric.md0.8 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • README.md2.6 KB
    • references/eval-artifact.md2.8 KB
    • references/learning-lifecycle.md3.4 KB
    • SKILL.md8.3 KB

    Origin and licence

    Listed unmodified

    Author
    zhaono1
    Source
    github.com/zhaono1/agent-playbook/tree/be7a9d7d17593abd8cf029d51c87dbd5b445351e/skills/self-improving-agent
    Licence
    MIT

    Notice

    « self-improving-agent » (zhaono1, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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