social-account-doctor
Enables rapid competitive analysis and content performance diagnosis across Chinese social platforms, reducing time spent on manual benchmarking and identify…
A Claude Code skill that audits creator accounts on Chinese social platforms — Xiaohongshu, Douyin, Kuaishou, WeChat Channels, and Bilibili. It scans your niche for benchmark accounts, breaks down why hit posts took off, diagnoses why your content isn't getting views, and drafts paste-ready imitation posts.
- Analyze competitor social media accounts to identify content strategies and engagement patterns.
- Diagnose why your video content underperforms compared to similar accounts in your niche.
- Generate template content ideas based on successful posts from top-performing accounts in your category.
Enables rapid competitive analysis and content performance diagnosis across Chinese social platforms, reducing time spent on manual benchmarking and identifying structural gaps in content strategy.
Content teams and growth managers optimizing performance on Xiaohongshu, Douyin, Kuaishou, WeChat Channels, and Bilibili.
https://github.com/JuneYaooo/social-account-doctor
By JuneYaooo
How to Get It
claude plugins install JuneYaooo/social-account-doctor
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me analyze competitor social media accounts to identify content strategies and engagement patterns
Trust Signals Auto-scanned
Community Pulse New
No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 117 GitHub stars; contributors unknown; last commit 1d ago; license MIT.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 117 GitHub stars; contributors unknown; last commit 1d ago; license MIT.