Overview
This is an academic research assistance tool that can extract speaker and topic information from conference/lecture posters, automatically search for papers related to the speaker, and generate structured summary reports.
Core Features
- 📸 Poster Analysis: Extract key information such as speaker name, talk title, time and location from the image
- 🔍 Paper Search: Intelligently search for related academic papers based on the speaker and topic
- 📝 Summary Generation: Generate concise and easy-to-understand Chinese summaries for the papers found
- 🎯 Topic Relevance: Identify the relevance between the speaker's research direction and the topic of this talk
- 📊 Structured Output: Generate a clear markdown report containing paper links and key information
When to Use
Use this Skill when you need the following:
Academic Scenarios
- Conference Preparation: Learn about the speaker's research background before attending an academic conference
- Lecture Research: Gain an in-depth understanding of the speaker before attending an on-campus/departmental lecture
- Literature Discovery: Discover new researchers and related papers through posters
- Research Tracking: Track the latest research developments in a specific field
Specific Task Examples
- "Analyze this poster and find the speaker's recent related papers"
- "Extract speaker information from the poster and search for their research work"
- "Who is the speaker of this lecture? What related papers have they published?"
- "Help me understand the background and related research of this talk"
How to Use
Basic Usage
请使用talk-dig技能分析这张海报: /path/to/poster.jpg
Advanced Usage
使用talk-dig分析海报，并查找讲者最近3年的相关论文
Workflow
Step 1: Poster Analysis
Use visual analysis tools to extract from the poster:
- Speaker Name: Identify the name of the main speaker
- Talk Title: Extract the full title of the talk
- Time and Location: Identify the time and location information of the lecture
- Affiliation: Identify the speaker's affiliation
Step 2: Paper Search
Conduct web searches based on the extracted information:
- Search using the speaker's name + talk topic keywords
- Prioritize finding recent papers (within 1-3 years)
- Identify the papers most relevant to the talk topic
- Collect information such as paper titles, abstracts, and links
Step 3: Summary Generation
For each paper found:
- Read the paper abstract and introduction
- Generate a Chinese summary (200-300 words)
- Extract the core contributions and methods
- Annotate the relevance to the talk topic
Step 4: Report Generation
Generate a structured markdown report containing:
- Speaker information introduction
- Talk topic analysis
- List of related papers (sorted by relevance)
- Detailed summary of each paper
- Suggestions for further reading
Output Format
Markdown Report Structure
# Talk 分析报告
## 讲者信息
- **姓名**: [讲者姓名]
- **机构**: [所属机构]
- **研究方向**: [根据论文推断的研究方向]
## Talk 信息
- **标题**: [演讲标题]
- **时间**: [时间信息]
- **地点**: [地点信息]
- **主题关键词**: [提取的关键词]
## 相关论文
### 1. [论文标题]
**作者**: [作者列表]
**发表年份**: [年份]
**相关性**: ⭐⭐⭐⭐⭐ (5/5)
**链接**: [论文链接]
**摘要**:
[200-300字的中文摘要]
**核心贡献**:
- 贡献1
- 贡献2
- 贡献3
**与Talk的关联**: [说明与本次talk主题的关系]
---
## 总结
[对讲者研究工作的整体评价和对本次talk的期待]
Technical Implementation
See references/implementation.md for:
- MCP tool integration details
- Workflow algorithms
- Error handling strategies
- Search strategies and data sources
Examples
See examples/real-scenarios.md for:
- Conference talk preparation
- Academic lecture analysis
- New area exploration
- Multi-speaker session analysis
Best Practices
Usage Suggestions
- Use in Advance: Use 1-2 days before attending the talk to leave time for reading
- Quality Check: If the extracted information is inaccurate, you can manually correct it
- In-depth Reading: For highly relevant papers, it is recommended to read the full text
- Question Preparation: Prepare questions based on the paper content
Improve Accuracy
- Ensure the poster image is clear and the text is readable
- If the speaker has a duplicate name, provide additional contextual information
- For interdisciplinary talks, you can specify the specific field to search
Error Handling
Frequently Asked Questions
- Information Extraction Failed: The poster is blurry or has an unusual format → provide the information manually
- Paper Not Found: The speaker is new or the field is niche → expand the search scope
- Too Many Papers: Too many search results → limit the time range or filter by relevance
- Inaccessible: The paper is behind a paywall → look for an open access version
Solutions
- Use multiple search engines for cross-validation
- Prioritize open access platforms such as arXiv
- Use institutional access when necessary
Example Scenarios
Scenario 1: Lecture Series
使用talk-dig分析下周三的CS讲座海报，帮我了解讲者的背景
Scenario 2: Conference Preparation
这是我参加的会议session的海报，分析一下这些speaker的研究工作
Scenario 3: Exploring a New Field
发现了一个有趣的AI讲座海报，帮我深入了解这个topic和相关研究
Ethics and Usage Guidelines
Academic Integrity
- Cite and attribute paper sources correctly
- Respect the speaker's intellectual property
- Use only for academic research and learning purposes
Data Privacy
- Do not collect or store personal information
- All search results are used only to generate the report
- Comply with the terms of use of the relevant platforms
Note: This Skill is for academic research purposes only. Please ensure compliance with relevant academic ethics and terms of use.