5,054,234 AI resources indexedWorking toward the world’s largest AI resource index.

Daily Review Skill

Comprehensive daily performance review with communication tracking, meeting analysis, output metrics, and focus time monitoring. Your AI performance coach.

Installable skillMITBy kbarbel640-delUpdated Oct 31, 2026
INTENDED FOROpenClawInstall in a listed agent.

instructions.md

---
name: daily-review-88c11d7c756c
version: 1.0.0
description: Comprehensive daily performance review with communication tracking, meeting analysis, output metrics, and focus time monitoring. Your AI performance coach.
author: henrino3
tags: [productivity, performance, tracking, review, coach]
---

# Daily Review Skill

Generate comprehensive daily performance reviews with AI coaching insights.

## Features

| Feature | Source | Status |
|---------|--------|--------|
| Emails sent | Gmail API | ✅ |
| Slack messages | Slack API | ✅ |
| X.com mentions | Bird CLI | ✅ |
| Meetings attended | Fireflies (speaker verified) | ✅ |
| Git commits | git log | ✅ |
| Docs modified | Google Drive API | ✅ |
| Screen Time | macOS knowledgeC.db | ✅ |
| ActivityWatch | AW API | ✅ |

## Usage

```bash
# Run daily review for today
~/clawd/skills/daily-review/scripts/daily-review.sh

# Run for specific date
~/clawd/skills/daily-review/scripts/daily-review.sh 2026-01-15
```

## Sample Output

```
🏆 Daily Performance Review - 2026-01-15
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

📬 COMMUNICATION
  • Emails sent: 6
  • Slack messages: 203
  • X.com mentions: 5

📅 MEETINGS (Fireflies - speaker verified)
  • CEO Chat (70 min)
  • Meeting with Perfectos (27 min)
  • US Squad Standup (27 min)
  Total: 3 meetings (~2.0 hrs)

💻 OUTPUT
  • Git commits: 6
  • Docs modified: 20
  • Messages to Ada: 73

⏱️ FOCUS TIME
  Screen Time: 9.7 hrs
  • Atlas: 203min
  • Slack: 163min
  • Telegram: 45min
  
  ActivityWatch: 8.5 hrs
  • Telegram: 120min
  • Ghostty: 90min
  • Chrome: 45min
```

## Requirements

### APIs & Services
- **Gmail**: Google Workspace service account or gog OAuth
- **Slack**: Slack API token (user_token for search)
- **Fireflies**: API key for meeting transcripts
- **Google Drive**: Service account for docs tracking

### Tools
- **Bird CLI**: For X.com/Twitter (requires auth_token + ct0 cookies)
- **ActivityWatch**: Local app tracking (http://localhost:5600)

### macOS (for Screen Time)
- SSH access to Mac
- `get_screentime.py` script for knowledgeC.db queries

## Installation

1. Copy skill to your clawd workspace:
```bash
cp -r daily-review ~/clawd/skills/
```

2. Install dependencies:
```bash
# Bird CLI (on Mac)
cd ~/Code && git clone https://github.com/steipete/bird.git
cd bird && npm install && npm run build:dist

# ActivityWatch
# Download from https://activitywatch.net/
```

3. Configure secrets:
```bash
# Bird (X.com)
cat > ~/clawd/secrets/bird.env << 'EOF'
AUTH_TOKEN=your_auth_token
CT0=your_ct0
EOF

# Fireflies
echo "your_api_key" > ~/clawd/secrets/fireflies.key

# Slack
echo '{"user_token": "xoxp-xxx"}' > ~/clawd/secrets/slack-super-ada.json
```

4. Add cron job for daily 09:00 review:
```bash
clawdbot cron add --name "daily-review" --schedule "0 9 * * *"
```

## Screen Time Query

The skill queries macOS Screen Time directly from `knowledgeC.db`:

```python
SELECT 
  ZVALUESTRING as app,
  SUM(ZENDDATE - ZSTARTDATE) as seconds
FROM ZOBJECT 
WHERE ZSTREAMNAME = '/app/usage' 
AND date(ZSTARTDATE + 978307200, 'unixepoch') = '2026-01-15'
GROUP BY ZVALUESTRING
ORDER BY seconds DESC
```

## Fireflies Speaker Verification

Meetings are verified by checking if user actually spoke (not just invited):

```graphql
{
  transcripts(limit: 30) {
    title dateString duration
    sentences { speaker_name }
  }
}
```

Only meetings where `speaker_name` contains user's name are counted.

## License

MIT

Platform guidance

Imported from the listed AgentSkill.sh category. Complete supplied package files and notices are retained. Includes source scripts; review them before use. Required external tools and credentials are not installed. No bundled code was executed during import. Individual agent task behavior has not been tested.