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leolou0512leolou0512/claude-skills/skills/memtree/SKILL.md

memtree

Skill1 starsChanged 26 days agoMITView on GitHub

Long-horizon project memory as a folder tree that keeps fine detail compaction would lose. Each folder describes itself and what lives below it, so a session reads titles first and expands only relevant branches. Use before any /compact, when resuming after compaction, when context nears 400-500k, when picking up an area of a long project, or when the user says memory tree, memtree, "save before compact", "what did we decide about X".

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Before work on an area, and after any compaction: view the tree, open every branch touching the task.

    line 27
  2. Distinctive:

    Do this while the detail is still in context.

    line 31
  3. Distinctive:

    Keep source: put the report or log in the node, or a commit or file link.

    line 34

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Memory tree

Compaction replaces detail with generalised summaries. The tree keeps the detail. Compact summary is a lead; the tree is the source.

memory/
  NODE.md               what this tree holds
  voice/
    NODE.md             description of appropriate detail, what is below
    transcription/
      NODE.md
      2026-10-29_model_compare.html
      leo_comments.md

A node is a folder. Any file may live in it: markdown, HTML, reports, the user's comments, logs. To add a layer, move a folder inside another; links are relative so nothing breaks.

NODE.md: first line = one-line description. Then detail fitting that level: top nodes a few lines, deeper nodes more. Note contents with - name: note.

Read the tree: python3 ~/.claude/skills/memtree/memtree.py <root> --depth 2. Expand by calling it on a node, then open files.

Reading

  • Before work on an area, and after any compaction: view the tree, open every branch touching the task.
  • Tree and summary disagree: the tree wins. Check code or git if it matters.

Before compact, the session itself writes

Do this while the detail is still in context; a later session or hook can't recover it.

  1. View the tree. Update existing nodes rather than adding parallels.
  2. Copy exact: the user's words, decisions and why, rejected options and why, numbers, error strings, commands, file:line, commit ids. Summarise only reasoning.
  3. Keep source: put the report or log in the node, or a commit or file link. A conclusion without its source misleads once stale.
  4. Changed decision: mark old text superseded by <path>; never silently overwrite.
  5. Skip what code, git or CLAUDE.md already record.

Then log and ask for /compact.

Upkeep

A node's folder gets crowded → group into subfolders and rewrite descriptions upward. Rewrite from the files, never from an older summary. Status is untested: it hasn't yet been compared against compaction alone.

Download now (ZIP)

Does it work?

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

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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.

Check your setup, free