improve-memory
Skill1 starsChanged 2 months agoNo licenceView on GitHub
Draft a proposed cleanup of this project's long-term memory (MEMORY.md plus its detail files in ~/.claude/projects/<slug>/memory/) and its CLAUDE.md files, given a learnings list, typically the output of `session-analysis dream`. Merges duplicate memories, resolves contradictions, fixes broken index/wiki-link pointers, and proposes CLAUDE.md or path-scoped-rules upgrades, writing everything to one memory-improvement-overview.md for a human to ratify. Use when the user asks to clean up, audit, deduplicate, or reconcile memory, to fold session-analysis dream output into memory, or types `/improve-memory`. Not for extracting learnings from transcripts in the first place: that's `session-analysis dream`, and this skill takes its output as input rather than reproducing it. Not for applying an approved change: writing the overview is the whole job; editing MEMORY.md, a detail file, or any CLAUDE.md is a separate, deliberate step this skill never performs itself.
In this repository17 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- agent-styleSkill
- benchmark-code-graphsSkill
- bug-reportSkill
- claims-and-scope-disciplineSkill
- context7-mcpSkill
- dreamSkill
- dual-scoped-review-plansSkill
- git-worktree-topologySkill
- plan-and-reviewSkill
- plan-docsSkill
- plan-rolloutSkill
- reviewSkill
- root-cause-fixSkill
- send-resultsSkill
- session-analysisSkill
The file
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 5 are distinctive, and 6 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
6
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 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.
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- It worked
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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.

