ai-topic-scout

What This Skill Does

AI Topic Scout is a powerful, automated content intelligence system designed for AI content creators and trend analysts. It bridges the gap between massive content streams on YouTube and Twitter/X and actionable video production pipelines. By systematically monitoring your chosen industry experts, it automatically scrapes, summarizes, and cleans data, allowing you to focus on high-impact story angles rather than manual research. The system integrates directly into DingTalk AI Tables, ensuring your research is structured, searchable, and ready for team collaboration.

Installation

Installation involves three core layers. First, ensure your system has the base CLI tools: mcporter for MCP orchestration, bird for Twitter data access, and yt-dlp for YouTube processing. Second, install the required OpenClaw skills via clawhub install dingtalk-ai-table and youtube-watcher. Finally, configure the DingTalk MCP Server by registering your Streamable HTTP URL within mcporter and setting up your Twitter API credentials in the configuration file. Follow the complete initialization guide to set up the four core DingTalk tables required for tracking and analysis.

Use Cases

• Continuous Trend Monitoring: Automatically stay ahead of AI developments by aggregating updates from key opinion leaders (KOLs) in real-time.
• Short-form Video Production: Identify high-potential topics for TikTok, Reels, or YouTube Shorts based on aggregated heat scores from across platforms.
• Cross-Platform Trend Synthesis: Correlate technical discussions on YouTube long-form videos with immediate reactions and sentiment on Twitter/X.
• Automated Research Pipelines: Maintain an organized, searchable library of AI-related content, eliminating the need to manually bookmark or copy-paste transcripts.

Example Prompts

1. "抓取选题：请扫描我关注的所有AI频道和推主，并更新钉钉表格中最新的内容。
2. "分析选题：对过去24小时内抓取的AI博主内容进行聚合，生成3个高热度视频选题建议。
3. "选题scout：找出最近一周YouTube上关于Agent框架的热门话题，并给出选题评分报告。"

Tips & Limitations

• Data Cleaning: The skill performs best when you maintain clean 'Active' status lists in your tracking tables.
• Efficiency: Schedule your cron jobs or triggers to run during off-peak hours to manage API rate limits for Twitter and YouTube.
• Privacy: Be mindful of content ownership and platform Terms of Service when republishing summarized data.
• Dependency Management: Since this skill relies on third-party CLIs, ensure your environment variables and PATH are correctly set for yt-dlp and bird to avoid execution errors during automated runs.