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observe
Force extraction of observations from the current conversation into observational memory
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
メニュー
Force extraction of observations from the current conversation into observational memory
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Remove specific observations from long-term memory
Search and display observations from long-term observational memory
Compress and reorganize observational memory, condensing old observations
| name | observe |
| description | Force extraction of observations from the current conversation into observational memory |
| disable-model-invocation | true |
| argument-hint | [optional: specific topic to focus on] |
You are being asked to manually extract observations from the current conversation and save them to the observational memory system.
Determine the memory directory by running:
python3 -c "import os; print(os.path.expanduser('~/.claude/projects/' + os.getcwd().replace('/','-') + '/memory/'))"
Read the current observations file at that path (observations.md). If it doesn't exist, you'll create it.
Review the current conversation and extract observations following these rules:
Date: YYYY-MM-DD
- HH:MM Observation text
- HH:MM Sub-detail
Append new observations to the observations file. Do not overwrite existing content.
Show the user what was observed with a brief summary.
If $ARGUMENTS is provided, focus your observations specifically on that topic.