agentleFS
soophoosoophoo/skills/remember/SKILL.md

remember

Skill0 starsChanged 43 days agoNo licenceView on GitHub

Carry a project's working state across sessions. At the end of a session (save mode), it files what happened into the right place in context/ — ticks finished build-plan steps, adds new conventions to architecture.md, flags decisions that need an ADR — and keeps context/project/memory.md for the rest: where to resume, git state, dead ends, small decisions. At the start of a session (resume mode), it reads it all back and briefs you on where things stand and the next action, handing off to the interrupted skill (a `scope` interview, a `build`). Use when the user says "remember this", "let's wrap up", "save where we are", "on s'arrête là", before stopping work you'll resume later — or, to resume, "where were we", "resume", "où on en était", "reprends".

69 other projects use a version of this.

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Used with

Projects with it also use agent-context-isolation, agentica-infrastructure and 10 more.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.

The file

We split this skill into the rules it gives an agent

7 rules. 0 are common, 5 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 60 edited versions we read keep these.

  • 5

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.

“Common” is measured: kept by at least 6 in 10 of the 60 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

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What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

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Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.