About this skill

Problem

When reviewing social media feedback, engineers often face fragmented, platform-specific inputs across XHS, Douyin, Kuaishou, Bilibili, Zhihu, Instagram, X / Twitter, YouTube, TikTok, and Weibo. Each platform uses different content identifiers, comment entry points, reply-chain parameters, and pagination rules. Manually collecting first-level comments can miss high-signal feedback, recurring pain points, and actionable reply threads, making it hard to form stable FAQ and reputation notes.

How It Works

This skill turns multi-platform comment retrieval into read-only API calls. Inputs can be a content link, short link, share text, or a known platform ID such as note_id, aweme-id, photo-id, content-id, or post-id. It supports:
- First-level comments: retrieve comment text, feedback themes, and reply clues by platform entry point.
- Reply-chain lookups: use returned identifiers such as comment_id, reply_token, or comment_object_id to inspect replies.
- Pagination controls: use --page-token, --pages, --all, and --max-items to start with page one and expand gradually.

The command returns JSON with platform, tool, arguments, and data. Multi-page results merge items and preserve page_count, item_count, and the next-page marker. For analysis, extract comment themes, recurring pain points, and follow-up questions first, while retaining the IDs needed to continue the same comment chain.

Boundaries

The skill is read-only: it does not log in, post, like, comment, or modify accounts, and it relies on SOCIALDATAX_API_KEY. Platform-specific parameters matter: XHS needs a full note_id, Bilibili replies need comment_object_id and comment_object_type, and YouTube uses reply_token. Pagination tokens must be returned unchanged without truncation or rewriting. If insufficient_balance appears, follow the provided top-up prompt and continue the same command instead of retrying repeatedly.

Screenshots

Use Cases

After publishing an XHS note, pass the link to retrieve first-level comments and summarize user pain points and FAQs.
When reviewing Douyin video reputation, fetch first-level comments and reply clues from the share link to draft FAQ notes.
Compare comments on the same topic across Bilibili and Zhihu to extract platform-specific feedback and issue lists.
For YouTube video comments, use the returned reply_token to follow reply chains and identify recurring complaints.

Best For

XHS content operators: need to summarize pain points and FAQs from note comments quickly.
Product managers doing short-video reputation analysis: need to turn Douyin and Kuaishou comment clues into FAQs and iteration notes.
Cross-platform social media analysts: need to unify comments from Weibo, Bilibili, and YouTube to compare feedback themes.
Customer experience engineers: need to locate recurring complaints and reply threads from Zhihu and X comments.