mirror of
https://github.com/muratcankoylan/Agent-Skills-for-Context-Engineering.git
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muratcankoylan
ace9c0aeb3
- Personal operating system for founders/creators as Claude Code skill - 6 isolated modules following context engineering principles - 4 automation scripts with tool-design consolidation - Complete skills traceability documentation
122 lines
3.1 KiB
Python
122 lines
3.1 KiB
Python
#!/usr/bin/env python3
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"""
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Weekly Review Generator
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Compiles data from Digital Brain into a weekly review document.
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"""
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import json
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import os
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from datetime import datetime, timedelta
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from pathlib import Path
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# Get the digital brain root (parent of agents/)
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BRAIN_ROOT = Path(__file__).parent.parent.parent
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def load_jsonl(filepath):
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"""Load JSONL file, skipping schema lines."""
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items = []
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if not filepath.exists():
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return items
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with open(filepath, 'r') as f:
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for line in f:
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line = line.strip()
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if not line:
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continue
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try:
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data = json.loads(line)
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# Skip schema definition lines
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if '_schema' not in data:
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items.append(data)
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except json.JSONDecodeError:
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continue
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return items
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def get_week_range():
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"""Get the start and end of the current week."""
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today = datetime.now()
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start = today - timedelta(days=today.weekday())
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end = start + timedelta(days=6)
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return start.strftime('%Y-%m-%d'), end.strftime('%Y-%m-%d')
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def analyze_content(week_start):
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"""Analyze content published this week."""
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posts = load_jsonl(BRAIN_ROOT / 'content' / 'posts.jsonl')
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ideas = load_jsonl(BRAIN_ROOT / 'content' / 'ideas.jsonl')
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week_posts = [p for p in posts if p.get('published', '') >= week_start]
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new_ideas = [i for i in ideas if i.get('created', '') >= week_start]
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return {
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'posts_published': len(week_posts),
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'new_ideas': len(new_ideas),
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'posts': week_posts
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}
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def analyze_network(week_start):
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"""Analyze network activity this week."""
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interactions = load_jsonl(BRAIN_ROOT / 'network' / 'interactions.jsonl')
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week_interactions = [i for i in interactions if i.get('date', '') >= week_start]
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return {
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'interactions': len(week_interactions),
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'details': week_interactions
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}
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def analyze_metrics():
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"""Get latest metrics if available."""
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metrics = load_jsonl(BRAIN_ROOT / 'operations' / 'metrics.jsonl')
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if metrics:
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return metrics[-1] # Most recent
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return {}
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def generate_review():
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"""Generate the weekly review output."""
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week_start, week_end = get_week_range()
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content = analyze_content(week_start)
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network = analyze_network(week_start)
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metrics = analyze_metrics()
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review = f"""
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# Weekly Review: {week_start} to {week_end}
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Generated: {datetime.now().isoformat()}
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## Summary
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### Content
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- Posts published: {content['posts_published']}
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- New ideas captured: {content['new_ideas']}
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### Network
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- Interactions logged: {network['interactions']}
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### Latest Metrics
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"""
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if metrics:
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audience = metrics.get('audience', {})
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for key, value in audience.items():
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review += f"- {key}: {value}\n"
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else:
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review += "- No metrics recorded yet\n"
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review += """
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## Action Items
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1. [ ] Review content performance
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2. [ ] Plan next week's content
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3. [ ] Follow up on pending introductions
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4. [ ] Update goals progress
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5. [ ] Schedule key meetings
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## Notes
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[Add your reflections here]
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"""
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return review
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if __name__ == '__main__':
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print(generate_review())
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