Multi-Platform Content Rewriting

Problem

When the same copy is distributed across WeChat, Video Account, Douyin, Kuaishou, Bilibili, Xiaohongshu, and Zhihu, each platform expects a different tone, structure, and tagging habit. Rewriting by hand can miss platform rules, and pushing generic copy to multiple channels can feel off-brand and create avoidable maintenance work.

How It Works

The skill gives an agent a Python-standard-library workflow for content adaptation:
- Platform detection: parses aliases such as douyin, xhs, zhihu, or uses all to enable all seven platforms.
- Rule-driven rewriting: reads assets/platform-rules.md, then follows each platform's Profile, WritingSkills, Rules, and Workflow to produce style-matched copy.
- Recording: before output, sends per-platform records via urllib; failures print warnings but do not block the main rewrite.
- Structured output: returns numbered platform entries separated by ---, with Xiaohongshu entries ending in tags.

Boundaries

It is best for adapting an existing source copy for cross-platform distribution, A/B comparison, or learning a new platform voice. It does not invent the original message, create images, thumbnails, or campaign strategy. If a platform rule is missing from the rules file, that platform may not be produced reliably. The record endpoint is for usage statistics and requires no API key.