memory-keeper
Manages project structure, auto-saves artifacts, and performs recovery protocols. Use this skill at the end of tasks or when encountering errors.
安装与使用
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
查看来源 ↗使用指南技能说明
Memory Keeper Skill
Purpose
To ensure the Structural Memory of the agent is preserved, artifacts are backed up, and the agent can recover from context limits.
Trigger Conditions
- Task completion (finishing a feature).
- User mentions
/retroor "save memory". - Agent encounters "Agent terminated due to error" or "Context Limit" errors.
Workflow Rules
1. Structural Integrity Check
- Verify
agent/rules/exists. - Verify
docs/exists. - Verify
.memory/exists.-
Action: If missing, suggest running
init-projector creating them.
-
Action: If missing, suggest running
2. Auto-Save Protocol
When a major task is done:
-
Format Timestamp:
YYMMDD_HHMM. -
Target Directory:
.memory/[Timestamp]_[TaskName]/. -
Action: Copy key artifacts (
task.md,implementation_plan.md,spec.md) to this folder.- Note: Do not perform the copy yourself if it's too heavy. Just remind the user or create a script.
3. Recovery Protocol (Agent Terminated Handler)
If the Agent is slow, buggy, or hits token limits:
- Advise User: "I am hitting context limits. Recommendation: Factory Reset."
-
Command: Suggest running:
./antigravity_toolkit.sh full -
Post-Reset: Remind user to:
- "Import rules and workflows" immediately after reset.
使用示例
查看来源仓库中的使用示例与配置说明。
查看来源 ↗来源历史
- 收录时间
- 2026-01-20
- 索引更新时间
- 2026-01-26
- Branch
- main
收录与同步日期属于本站记录。源码修改历史请查看来源仓库。
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