AgentSkillsCN

daily-log

每日收尾回顾指令,帮助用户反思当天的工作,为明天做好准备。

SKILL.md
--- frontmatter
name: daily-log
description: End-of-day review command that helps reflect on the day's work and prepare for tomorrow.
disable-model-invocation: true

/daily-log - Daily Review and Reflection

End-of-day review command that helps reflect on the day's work and prepare for tomorrow.

Usage

code
/daily-log

Instructions

When this skill is invoked, follow these steps interactively:

Step 1: Load Today's Daily Note

  1. Get today's date and load the daily note from daily/YYYY-MM-DD.md
  2. Parse the "やること" section to get the planned tasks
  3. Parse the "やったこと" section to see what was accomplished

Step 2: Task Review (Interactive)

For each task in "やること":

  1. Display the task list with numbers
  2. Ask: "完了したタスクの番号を教えてください(複数可、カンマ区切り)"
  3. For incomplete tasks, ask one by one:
    • "「{task}」はどうしますか?"
    • Options:
      1. 明日に繰り越し
      2. もう不要
      3. 保留

Use AskUserQuestion tool to collect responses.

Step 3: Reflection (Interactive)

Ask the user:

  1. Good (うまくいったこと)

    • "今日うまくいったことは何ですか?"
  2. Could be better (改善できること)

    • "改善できそうなことはありますか?"
  3. Tomorrow's priorities (明日やること)

    • "明日やりたいことはありますか?"

Step 4: Save Daily Log

Update the daily note with:

markdown
### 振り返り

#### Good
- {user's response}

#### Could be better
- {user's response}

### 明日やること
- {carried over tasks}
- {user's new tasks}

Step 5: Save to Second Brain

Store the day's summary in second-brain for future reference:

javascript
store_memory({
  content: "2026-02-04の振り返り: {summary}",
  tags: ["daily-log", "reflection", "YYYY-MM-DD"],
  source: "daily/YYYY-MM-DD.md"
})

Step 6: Confirm Completion

Report to the user:

  • Summary of completed tasks
  • Tasks carried over to tomorrow
  • Reminder that tomorrow's /morning will pick up where we left off

Output Format

Keep the interaction conversational and low-friction. Use numbered options where possible to minimize typing.

Notes

  • This skill works in tandem with /morning
  • The "明日やること" section feeds into the next day's /morning
  • Reflections are stored in second-brain for long-term learning