What problem does it solve? Social posts live behind logins, anti-bot walls, and inconsistent APIs, making it hard to reliably pull a tweet, LinkedIn post, or Reddit thread into a research or marketing workflow. This Skill detects the platform from any URL, tries a chain of free and paid strategies, and returns one consistent JSON shape regardless of source. ## Core Features & Use Cases - Multi-platform URL detection: Recognizes X, LinkedIn, Instagram, TikTok, Bluesky, Reddit, Mastodon, Threads, and Hacker News URLs automatically. - Fallback strategy chains: Tries free public APIs first (Bluesky, Mastodon, HN, Reddit), then agent-browser scraping, Wayback Machine, and paid APIs (ScrapeCreators, Apify) only when keys are configured. - Normalized output schema: Returns author, posted_at, text, media, engagement counts, threads, and replies in the same JSON structure for every platform, with null for missing fields. - Optional enrichments: Flags for fetching replies, full threads, raw responses, media downloads, and 24-hour caching to conserve API quota. - Use Case: While running a deep-research brief, you encounter a relevant X thread URL. The Skill fetches it, normalizes the author, text, and engagement data, and hands structured JSON to the research brief instead of a screenshot. ## Quick Start Ask the agent to fetch this post and show its author, text, and engagement: /social-fetch followed by the post URL.