Skills conference-schedule-optimizer
Use when planning conference schedules, optimizing session selection at scientific meetings, managing time between presentations, or maximizing networking at academic conferences. Creates personalized schedules balancing learning, networking, and career development for medical and scientific conferences.
git clone https://github.com/openclaw/skills
T=$(mktemp -d) && git clone --depth=1 https://github.com/openclaw/skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/aipoch-ai/conference-schedule-optimizer" ~/.claude/skills/clawdbot-skills-conference-schedule-optimizer && rm -rf "$T"
skills/aipoch-ai/conference-schedule-optimizer/SKILL.mdConference Schedule Optimizer
Create optimal conference schedules balancing learning, networking, and career development for scientific and medical conferences.
Quick Start
from scripts.schedule_optimizer import ConferenceScheduler scheduler = ConferenceScheduler() # Generate optimized schedule schedule = scheduler.optimize( conference="ASHG2024", interests=["genomics", "bioinformatics", "rare diseases"], constraints={"avoid_mornings": True, "networking_priority": "high"} ) # Export to calendar scheduler.export(schedule, format="ical", filename="my_conference.ics")
Core Capabilities
1. Session Prioritization
priorities = scheduler.prioritize_sessions( sessions=conference_sessions, criteria={ "topic_relevance": 0.35, "speaker_reputation": 0.25, "career_value": 0.20, "networking_opportunity": 0.20 } )
Prioritization Matrix:
| Factor | Weight | How Measured |
|---|---|---|
| Topic Relevance | 35% | Keyword matching with your research |
| Speaker Impact | 25% | Citation count, h-index, previous talks |
| Career Value | 20% | Job opportunities, collaborations |
| Networking | 20% | Attendee overlap, social events |
2. Schedule Optimization
optimized_schedule = scheduler.create_schedule( sessions=priorities, constraints={ "max_consecutive_sessions": 3, "lunch_break": "12:00-13:00", "must_attend": ["Keynote: Dr. Smith", "Workshop: CRISPR"], "avoid": ["conflict_of_interest_sessions"] } )
3. Conflict Resolution
resolved = scheduler.resolve_conflicts( overlapping_sessions=[session_a, session_b], strategy="attend_record_delegate" )
Conflict Resolution Strategies:
| Strategy | Best For | Implementation |
|---|---|---|
| Attend + Record | High-priority talk | Attend live, watch recording later |
| Split Time | Equal priority | 20 min each, network after |
| Delegate | Team attending | Colleague attends, shares notes |
| Poster Alternative | Overlapping talks | Visit presenter's poster session |
4. Networking Planner
networking_blocks = scheduler.plan_networking( target_attendees=[ {"name": "Dr. Smith", "institution": "Stanford", "topic": "Genomics"}, {"name": "Prof. Johnson", "institution": "Broad", "topic": "CRISPR"} ], strategy="coffee_chats", buffer_minutes=15 )
Networking Tactics:
- Coffee Chats: Schedule 15-min meetings before/after sessions
- Poster Sessions: High-quality conversations in relaxed setting
- Social Events: Evening receptions for informal networking
- Twitter/X: Live-tweet to connect with remote attendees
5. Travel Time Calculator
schedule_with_travel = scheduler.add_travel_time( base_schedule, venue_map="conference_center.pdf", walking_speed="normal", # or "slow" with poster tubes buffer_percent=20 )
CLI Usage
# Optimize from conference program PDF python scripts/schedule_optimizer.py \ --program ashg2024_program.pdf \ --interests "genomics,bioinformatics,ethics" \ --constraints "no_mornings,prefer_posters" \ --output my_schedule.ics # Real-time update with room changes python scripts/schedule_optimizer.py \ --conference ASHG2024 \ --update --notify # Generate networking targets python scripts/schedule_optimizer.py \ --conference ASHG2024 \ --mode networking \ --my-research "rare disease genomics" \ --output targets.csv
Common Patterns
Pattern 1: First-Time Attendee
Goal: Maximize learning, minimize overwhelm
schedule = scheduler.optimize( conference="ISMRM2024", experience_level="first_time", strategy="breadth_over_depth", include_tutorials=True, social_events_priority="high" )
Pattern 2: Job Seeker
Goal: Network with target institutions
schedule = scheduler.optimize( conference="SFN2024", goals=["job_search", "networking"], target_institutions=["NIH", "Stanford", "Genentech"], career_sessions_priority="must_attend" )
Pattern 3: Poster Presenter
Goal: Balance presenting with attending
schedule = scheduler.optimize( conference="AGU2024", my_poster_session="Tuesday 2-4pm", conflicts_strategy="skip_lower_priority", networking_during_poster=True )
Quality Checklist
Pre-Conference (2 weeks before):
- Download conference app/program
- Flag 3 "must-attend" sessions per day
- Identify 5-10 people to meet
- Schedule non-conference meetings outside conference hours
- Download and review key papers from speakers
During Conference:
- Check schedule each morning for updates
- Take notes in unified location (app or notebook)
- Block 30-min daily for exhibit hall
- Stay hydrated and take walking breaks
- Tweet key insights (tag speakers, use conference hashtag)
Post-Conference (within 48 hours):
- Email new contacts with specific follow-up
- Organize notes by actionable items
- Share key learnings with lab/team
- Update CV with conference activities
Common Pitfalls
❌ Over-scheduling: No breaks between sessions ✅ Buffer time: 15-min gaps for transitions and networking
❌ Session hopping: Leaving talks early ✅ Commit fully: Attend entire session or don't go
❌ Skipping meals: Running from session to session ✅ Scheduled breaks: Block lunch, rest, and processing time
Skill ID: 206 | Version: 1.0 | License: MIT