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. User requests may stop at candidate creation/review, or continue to installation in the same turn after explicit approval; match the requested stage.

The plugins.<platform>.memory_to_skill.* config key prefix and the install-path notes are platform-specific — see your platform reference file:

Claude Code → references/claude-code.md
Codex → references/codex.md
OpenClaw → references/openclaw.md
OpenCode → references/opencode.md
DeepSeek Harness → references/dsh.md

memory-to-skill