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Conference Schedule Optimizer

作者 AIpoch · GitHub ↗ · v0.1.0 · MIT-0
cross-platform ⚠ suspicious
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在 OpenClaw 中安装
/install conference-schedule-optimizer
功能描述
Use when planning conference schedules, optimizing session selection at scientific meetings, managing time between presentations, or maximizing networking at...
使用说明 (SKILL.md)

Conference 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

安全使用建议
The skill's documentation promises many advanced features, but the bundled code only implements a simple JSON-based scheduler under a different module/file name. This is most likely an incomplete or mispackaged skill rather than obviously malicious, but you should proceed cautiously. Before installing or granting agent autonomy: 1) Ask the publisher for the correct source or a matching implementation (the SKILL.md references scripts/schedule_optimizer.py and ConferenceScheduler, but code provides scripts/main.py and ScheduleOptimizer). 2) Inspect and run the included script in a sandbox with a sample JSON schedule to confirm behavior (no network activity, no unexpected file reads). 3) If you need features advertised in SKILL.md (PDF parsing, iCal export, notifications), do not rely on this package until those features are actually implemented and reviewed. 4) Prefer publishers with a homepage/repo and a verifiable origin; avoid giving credentials or access to calendars until the code and docs align.
功能分析
Type: OpenClaw Skill Name: conference-schedule-optimizer Version: 0.1.0 The skill bundle provides a basic Python script (scripts/main.py) for optimizing conference schedules based on user interests and session times. While the documentation (SKILL.md) describes advanced features like networking planning and travel time calculation that are not implemented in the provided code, and refers to a different filename (schedule_optimizer.py), the actual code is simple and lacks any indicators of malicious intent, data exfiltration, or unauthorized execution. The broad 'Bash' permission requested in SKILL.md is used only for running the provided optimization script.
能力评估
Purpose & Capability
The SKILL.md describes a feature-rich ConferenceScheduler (methods like prioritize_sessions, create_schedule, plan_networking, add_travel_time, export to iCal, and a scripts/schedule_optimizer.py CLI). The included code (scripts/main.py) defines a ScheduleOptimizer class with simpler methods (load_schedule, score_session, optimize, print_schedule) and a different CLI (--schedule, --interests, --must-attend). Many capabilities advertised in the docs (PDF parsing, calendar export, travel-time with venue maps, networking target generation) are not implemented in the code. This mismatch is disproportionate to the stated purpose and will likely cause runtime errors or unmet expectations.
Instruction Scope
SKILL.md instructs the agent to read conference program PDFs, export iCal files, perform 'real-time update with room changes' and 'notify' behavior, and references modules/classes that don't exist in the code. The instructions therefore grant the agent permission to read files (PDFs, venue maps) and potentially act on calendar exports, but the provided implementation only reads a JSON schedule file and writes JSON. The documentation's scope is broader than the code's behavior, which is a scope/instruction inconsistency.
Install Mechanism
There is no install spec; this is an instruction-only skill with one included Python script. No binaries, remote downloads, or archive extraction are specified, so there is no elevated install risk.
Credentials
The skill declares no required environment variables, no primary credential, and no config paths. The code likewise does not read environment variables or secrets. The lack of requested credentials is proportional to the actual (simple) implementation.
Persistence & Privilege
always is false and the skill does not request or modify other skills or system settings. Model invocation is allowed (default) but that is normal; there is no sign of persistent or privileged behavior in the package.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install conference-schedule-optimizer
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /conference-schedule-optimizer 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v0.1.0
Initial release of conference-schedule-optimizer. - Generate personalized conference schedules balancing learning, networking, and career growth. - Prioritize sessions using custom criteria and weights (topic relevance, speaker, career value, networking). - Optimize schedules with constraints (breaks, must-attend sessions, conflicting interests). - Plan and schedule networking opportunities with key individuals. - Account for travel time between venue locations. - Command-line interface for PDF program input, real-time updates, and networking target export. - Includes best practices, checklists, and common patterns for attendees of scientific and medical conferences.
元数据
Slug conference-schedule-optimizer
版本 0.1.0
许可证 MIT-0
累计安装 0
当前安装数 0
历史版本数 1
常见问题

Conference Schedule Optimizer 是什么?

Use when planning conference schedules, optimizing session selection at scientific meetings, managing time between presentations, or maximizing networking at... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 233 次。

如何安装 Conference Schedule Optimizer?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install conference-schedule-optimizer」即可一键安装,无需额外配置。

Conference Schedule Optimizer 是免费的吗?

是的,Conference Schedule Optimizer 完全免费,采用 MIT-0 许可证,可自由下载、安装和使用。

Conference Schedule Optimizer 支持哪些平台?

Conference Schedule Optimizer 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 Conference Schedule Optimizer?

由 AIpoch(@aipoch-ai)开发并维护,当前版本 v0.1.0。

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