social-listening

To aggregate public social media and web content for competitive intelligence research, this skill normalizes multi-platform data retrieval into consistent markdown dossiers. It accesses YouTube, Twitter/X, LinkedIn, Reddit, and the open web through a unified read-only interface.

You can pull YouTube transcripts and scan Reddit posts for user pain points automatically using this skill. It leverages the Agent Reach framework and yt-dlp to extract video or podcast transcripts and scrape public posts to identify content hooks and audience pain points.

You need optional API keys for advanced search and transcription capabilities when using the Agent Reach framework for social listening. The skill requires integration with external read backends and dependencies like exa-api and jina-reader for semantic web searches and content retrieval.

The best way to normalize scraped data from multiple social platforms into markdown is using this skill's unified read layer. It processes diverse social and web content through consistent retrieval interfaces, outputting normalized markdown dossiers for research and competitive intelligence.

Jina-reader and exa-api work with this skill to perform semantic web searches and content scraping. These dependencies enable the skill to retrieve and normalize public web content alongside social media data for comprehensive competitive intelligence gathering.

You should not use a unified scraping interface for social listening research if your target platforms require authenticated access or private data retrieval. This skill is designed strictly for gathering public social media and web content, preventing the need for manual browsing of public profiles.