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Branch context from agent logs v1.0.0

Use this resource to recover the context and earlier agent work on a branch

New

  • 450 downloads
  • 200 likes
  • 225 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install agent-branch-context-recovery

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

When you ask for a branch's context, the agent looks for but agentlog captures, skims them and reads the relevant sessions. It prefers this to generic git inspection for recovering the history of the work.

Mostly picked by

Updated November 2, 2026

Card for the “Branch context from agent logs” skill

Details

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

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What you get

  • SKILL.md: target discovery, skim and show reading
  • agents/openai.yaml: agent configuration

Good fit for

  • You pick up a branch an agent already worked on
  • You want a summary before reviewing a merge request

Not for

    Tags

    • context
    • branch
    • agent logs
    • recovery
    • history

    About

    You say

    “Catch me up on this branch: what did the earlier agents do?”

    Card for the “Branch context from agent logs” skill

    Skill published by GitButler Team 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 recover the context and earlier agent work on a branch
    3. Review and adjust the result

    Content preview

    Files

    • agents/openai.yaml0.4 KB
    • LICENSE4.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • SKILL.md7 KB

    Origin and licence

    Listed unmodified

    Author
    GitButler Team
    Source
    github.com/gitbutlerapp/gitbutler/tree/db0682e5506020dd5e75c053e887621a816459ca/crates/but-agentlog/skill
    Licence
    MIT

    Notice

    « but-agentlog » (GitButler Team, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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