Extract and analyze social media links across Twitter/X, YouTube, Reddit, and GitHub.
npx skills add https://github.com/tonitangpotato/rustclaw --skill social-intake
Please help me install this Agent Skill. Skill: social-intake Source: https://github.com/tonitangpotato/rustclaw/tree/main/skills/social-intake Command: npx skills add https://github.com/tonitangpotato/rustclaw --skill social-intake
Intelligent automation of social-media URL processing: it extracts, analyzes, and archives external content, enabling structured insight and traceable history via a three-layer storage model.
Send a social URL to RustClaw; the skill will extract content, analyze it for insights, and archive it in intake and IDEAS.md when applicable.
High-intent search queries and answers about installing and using this skill.
Automating social media link extraction involves sending URLs to a processor that normalizes short links, deduplicates content, and archives posts from platforms like Twitter/X, YouTube, Reddit, and GitHub into structured storage.
Extracting insights from scattered posts uses LLM analysis to evaluate content, connecting external URLs with internal ideas in a knowledge graph and selectively updating markdown archives when valuable insights trigger new concepts.
Yes, platform-aware social media intake handles short link normalization and deduplication automatically, ensuring that redirected or repeated URLs from sources like WeChat and Xiaohongshu are processed once and archived correctly.
Archiving Reddit and Hacker News threads is handled by applying automated extraction with built-in guardrails and error handling, storing processed content in a three-layer model for traceable history.
Yes, you can use LLM analysis to summarize social media content, automatically extracting actionable summaries and selectively updating your IDEAS.md markdown files when external posts contain valuable insights.
Limitations when extracting content from WeChat or Xiaohongshu URLs include platform-specific access restrictions and anti-scraping mechanisms, which the skill navigates using guardrails and error handling to ensure traceable archival.
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