agentleFS
eranw2000eranw2000/multi-phase-skills-framework/save-context/SKILL.md

save-context

Skill10 starsChanged 18 days agoLicence not identifiedView on GitHub

End-of-session context save. Reads the session transcript so a compacted conversation cannot shrink what gets saved, routes each discovery to the file that will actually be read (project CLAUDE.md, global CLAUDE.md and its satellites, a path-scoped rule, a skill, or memory), measures the always-loaded files before adding to them, captures the session's still-open action items into the project TODO buckets, writes the next-session pin, and reads back what it wrote. Use when the user says "save context", "save session", "/save-context", or wants to capture this session's learnings without closing the session. For the same save PLUS shutting down the session's servers, jobs and agents, use close-session instead.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 8 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈8

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

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

The licence could not be identified — read it at the source. We count its rules but don't quote them. Read them on GitHub.

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
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.

Now do this for your own.

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.