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Recalling learnings from past sessions v1.0.0

Use this resource to find the relevant learnings from past sessions in memory

New

  • 545 downloads
  • 174 likes
  • 144 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install memory-recall-past-learnings

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 command runs a semantic search over the learnings database and shows the five most relevant results, with their type, confidence level and context. You get the solutions and decisions already recorded, without rediscovering them.

Mostly picked by

Updated November 2, 2026

Card for the “Recalling learnings from past sessions” skill

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: command usage and query examples
  • SKILL.md: result format with type and confidence level

Good fit for

  • You hit a problem you already solved in an earlier session
  • You are picking up a project and want the architecture decisions already made

Not for

    Tags

    • memory
    • learnings
    • semantic search
    • sessions

    About

    You say

    “/recall TypeScript hook configuration”

    Card for the “Recalling learnings from past sessions” skill

    Skill published by parcadei 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 the relevant learnings from past sessions in memory
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md1.3 KB

    Origin and licence

    Listed unmodified

    Author
    parcadei
    Source
    github.com/parcadei/continuous-claude-v3/tree/d07ff4b06b62f43771bc0c927d0211b734d6149e/.claude/skills/recall
    Licence
    MIT

    Notice

    « recall » (parcadei, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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