Agent Daily Review#

Overview#

The Daily Review skill helps agents conduct systematic review and reflection at the end of the day, transforming fragmented daily records into structured growth accumulation.

Core Capabilities:

1. Scan Records - Automatically scan today's memory files, artifacts, and MEMORY.md entries
2. Categorize Activities - Classify activities into: Completed, In Progress, Issues/Blockers, Learning/Growth, Others
3. Reflect and Analyze - Calculate productivity score, identify highlights and challenges, generate improvement suggestions
4. Generate Report - Output structured review report and archive to long-term memory

Use Cases:

• User says "Do my daily review for today"
• User says "Summarize today"
• Cron scheduled task triggers (e.g., daily at 22:00)
• User wants to review work/learning status for a specific day

Workflow#

1. Scan Today's Records#

Execute scripts/daily_review.py to scan the following:

• memory/YYYY-MM-DD.md - Today's journal entries
• MEMORY.md - Today's entries in long-term memory
• workspace/*.md - Artifact files generated today

2. Categorize Activities#

Automatically identify and categorize:

• Completed - Contains keywords like "completed," "done," "resolved," ✅
• In Progress - Contains keywords like "in progress," "working on," 🔄
• Issues/Blockers - Contains keywords like "issue," "blocked," "bug," ❌
• Learning/Growth - Contains keywords like "learned," "researched," "understood"
• Meetings/Communication - Contains keywords like "meeting," "discussed," "sync"

3. Reflect and Analyze#

Perform intelligent analysis based on categorization results:

• Productivity Score - Calculate based on record count and artifact count (0-100)
• Today's Highlights - Identify completed important tasks and decisions
• Challenges Encountered - Summarize issues and pending items
• Improvement Suggestions - Generate personalized recommendations based on data

4. Generate Report#

Output structured report containing:

• Today's Overview (statistics)
• Completed Tasks List
• In Progress Tasks List
• Issues/Blockers
• Learning/Growth Records
• Highlights Summary
• Reflection and Suggestions
• Tomorrow's Plan Framework

5. Archive to Memory#

• Save review report to reviews/review_YYYY-MM-DD.md
• Append review summary to MEMORY.md

Usage#

Manual Execution#

bash

# Execute today's review
python scripts/daily_review.py

# Specify working directory
python scripts/daily_review.py -w /path/to/workspace

# Specify output file
python scripts/daily_review.py -o /path/to/output.md

# Review specific date
python scripts/daily_review.py -d 2024-01-15

# Do not save to MEMORY.md
python scripts/daily_review.py --no-memory

Use as Module#

python

from scripts.daily_review import DailyReview

review = DailyReview("/path/to/workspace")
report = review.run(save_to_memory=True)
print(report)

Cron Auto-Trigger#

Set up automatic daily review at 22:00:

bash

# Add scheduled task using openclaw cron
openclaw cron add --name "daily-review" \
  --schedule "0 22 * * *" \
  --command "python ~/.qclaw/skills/daily-review/scripts/daily_review.py"

Or using cron tool:

json

{
  "name": "daily-review",
  "schedule": {"kind": "cron", "expr": "0 22 * * *", "tz": "Asia/Shanghai"},
  "payload": {
    "kind": "agentTurn",
    "message": "Please perform today's review using the daily-review skill, scanning today's records and generating a review report."
  },
  "sessionTarget": "isolated"
}

Report Format#

Review reports use Markdown format with the following sections:

markdown

# Daily Review Report - YYYY-MM-DD

## 📊 Today's Overview
- Date, Record Count, Artifact Count, Productivity Score

## ✅ Completed
- Task List

## 🔄 In Progress
- Pending List

## ⚠️ Issues/Blockers
- Issue List

## 📚 Learning/Growth
- Learning Records

## 🎯 Today's Highlights
- Highlights Summary

## 💭 Reflection and Suggestions
- Improvement Suggestions

## 📝 Tomorrow's Plan
- Plan Framework

Directory Structure#

text

workspace/
├── memory/
│   └── 2024-01-15.md          # Today's journal entries
├── reviews/
│   └── review_2024-01-15.md   # Review report
├── MEMORY.md                   # Long-term memory (review summary appended here)
└── *.md                        # Artifacts generated today

Tips#

1. Cultivate Journaling Habit - Record timestamped entries in memory/YYYY-MM-DD.md daily for better review results
2. Use Keywords - Use keywords like "completed," "learning," "encountered issue" when journaling to facilitate auto-categorization
3. Periodic Review - Review weekly/monthly review reports to discover growth trajectory
4. Integrate with Cron - Set up automatic review to ensure daily reflection is never missed

Resources#

• scripts/daily_review.py - Core review script
• references/framework.md - Detailed review framework explanation (optional reading)