memory-evolution

name	memory-evolution
description	Process pending X-OmniClaw task memories, update MEMORY.md, and rebuild the compact USER-PROFILE.md.
metadata	{"xomniclaw":{"always":false,"emoji":"🧠","skillKey":"memory-evolution","version":"1.0.0","category":"memory"}}

Memory Evolution

Use this skill when the user asks to:

• update global memory
• evolve task memory
• summarize task experience into the user profile
• inspect memory evolution status
• configure or verify the daily memory update mechanism

This skill maintains task-derived memories. Gallery-derived memories are maintained by gallery-memory.

Memory Files

• MEMORY.md: task memory from X-OmniClaw usage, including habits, reusable workflows, failures, and project context.
• memory/IMAGE-MEMORY.md: gallery memory from photos and screenshots.
• memory/USER-PROFILE.md: compact user profile loaded by default. It should be rebuilt from both MEMORY.md and IMAGE-MEMORY.md.

Preferred Tool

memory_evolution

Use memory_evolution as the direct tool for this workflow.

Supported actions:

• run: process pending task memory events, update MEMORY.md, and rebuild memory/USER-PROFILE.md
• status: inspect the latest evolution run status and pending event count

Recommended Calls

Run evolution

{
  "action": "run"
}

Check status

{
  "action": "status"
}

Daily Update Pattern

The app owns a managed scheduled task named 全局记忆进化.

Its instruction should be equivalent to:

使用 memory_evolution 工具执行全局记忆进化：处理待沉淀的 X-OmniClaw 任务记忆，更新 MEMORY.md，并重建 USER-PROFILE.md。

Best Practices

1. Do not update MEMORY.md directly during every normal task. Normal tasks should only append pending events.
2. Keep USER-PROFILE.md compact because it is loaded by default for all tasks.
3. Put reusable task lessons and workflows in MEMORY.md; put only distilled user habits and key preferences in USER-PROFILE.md.
4. Do not duplicate gallery details in USER-PROFILE.md; summarize preferences, recent activity, and stable interests from IMAGE-MEMORY.md.