What problem does it solve? Social media posts live behind different APIs, login walls, and anti-bot defenses, making it painful to pull a tweet, LinkedIn post, or Reddit thread into a research or analysis workflow. This Skill detects the platform from any post URL, tries a chain of free and paid fetching strategies, and returns one consistent JSON shape regardless of source. ## Core Features & Use Cases - Cross-platform fetching: Supports X/Twitter, LinkedIn, Instagram, TikTok, Bluesky, Reddit, Mastodon, Threads, and Hacker News with per-platform strategy chains (direct APIs, agent-browser, Wayback Machine, ScrapeCreators, Apify). - Normalized output schema: Returns the same JSON structure (author, posted_at, text, engagement, media, thread, replies) for every platform, with null for missing fields rather than zero. - Optional enrichments: Flags for fetching replies, full threads, raw responses, and media downloads, plus a 24-hour cache to conserve paid API quota. - Use Case: While writing a research brief, you encounter a relevant X thread and a LinkedIn post. Ask the Skill to fetch both URLs and receive structured JSON with author, text, and engagement counts ready to cite. ## Quick Start Fetch this post and show me the author, text, and engagement: https://x.com/example/status/1234567890