Individual skill
memory-to-skill
Not available
plugins/dsh/skills/memory-to-skill/SKILL.md
Source commit 369ae1da48b76b4e87e7481a61642f4b2dbeb894
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
Standard SKILL.md format has not been attested at this commit. No installation command is available; inspect the source.
Repository context
- Repository stars (not skill ratings)
- 2,860
- Repository last updated
- Nov 10, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-memory Repository topic
- claude-code Repository topic
- claude-code-plugin Repository topic
- memory Repository topic
- openclaw Repository topic
- rag Repository topic
- agent Repository topic
- embeddings Repository topic
- milvus Repository topic
- semantic-search Repository topic
Declared tags are partial or unavailable.
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
SKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesSKILL.mdcore · 7,845 bytesreferences/claude-code.mddoc · 706 bytesreferences/codex.mddoc · 706 bytesreferences/dsh.mddoc · 850 bytesreferences/openclaw.mddoc · 702 bytesreferences/opencode.mddoc · 1,331 bytes
Read excerpt
<!--
memsearch-dsh memory-to-skill skill body.
Registered at plugin load by plugins/dsh/index.js via ctx.skills.register()
with metadata (name: memory-to-skill, description, whenToUse) supplied in code.
-->
You manage MemSearch's **procedural memory**: skills distilled from the work you
repeat — a third layer beside the daily journals (episodic) and PROJECT.md /
USER.md (semantic). State once that this is MemSearch skill distillation, not
the host agent's built-in skills system.
Stages: **0** memory journals → **1** candidate (`.memsearch/skill-candidates/`,
a git-tracked store that keeps evolving) → **2** installed (an agent skill dir).
Candidates are never installed automatically; installing is always a human step.