skill-cross-platform-diff · Cross-Platform Difference Analysis
Analyze how the same topic performs differently across Xiaohongshu, Douyin, Bilibili, Zhihu, Weibo and more: content formats, audience preferences, discourse styles, traffic logic, monetization paths.
Outputs a comparison matrix, per-platform analysis, core difference insights, main/secondary/skip platform tiers, and adaptation guidance (title direction, structure, tone, format, tags). No content rewriting itself (that's repurposing's job). Fit scored across four dimensions: content match, competition saturation, monetization viability, operating cost.
Example invocation: "How should this fitness-meal topic play on Xiaohongshu vs Douyin?"
Full brief
Positioning
skill-cross-platform-diff answers "how should the same content work on different platforms": deep difference analysis and strategy insight. It produces reports and strategy — it doesn't rewrite the content itself.
Core capabilities
- Multi-platform scan: Xiaohongshu, Douyin, Bilibili, Zhihu, Weibo, WeChat official accounts, WeChat Channels, X, Kuaishou; defaults to 6 mainstream platforms when unspecified.
- Comparison matrix: primary format, core audience, discourse style, traffic logic, content lifecycle, monetization path, topic fit — side by side.
- Per-platform analysis: typical presentation, audience expectations, discourse style, traffic logic, success-case traits, pitfalls, monetization possibilities.
- Core difference insights: cross-platform differences distilled (deeper platforms need evidence; fragmented ones need emotion).
- Platform selection: main/secondary/not-recommended tiers with reasons.
- Fit scoring: content match / competition saturation / monetization viability / operating cost, each 1-5.
- Adaptation guidance: title direction, structural changes, tone shifts, format and length, tag strategy, timing — "transformation directions", not the rewrite itself.
- Profile-aware: aligns with account strengths and existing assets when a profile exists; otherwise stays objective and generic.
Workflow
- Confirm topic, target platforms, analysis goal (understand differences / pick platforms / adapt)
- Load platform-traits knowledge base
- Topic-platform cross-analysis (format/audience expectations/discourse/traffic)
- Extract differences (information-need patterns)
- Fit scoring + platform tiers
- Generate adaptation guidance, report to outputs/
Inputs & outputs
| Input | Required | Notes |
|---|---|---|
| Topic/theme | Yes | Topic, keywords, or a piece of content |
| Target platforms | Recommended | Platforms to compare (default: full scan) |
| Analysis goal | Recommended | Understand differences / pick main platform / adapt |
| Existing content | Optional | Content on one platform as a comparison baseline |
| Vertical/industry | Optional | Verticals shift platform traits |
Output: cross-platform difference report (matrix + per-platform analysis + insights + selection + adaptation strategy).
Boundaries with adjacent skills
| Skill | Lane |
|---|---|
| skill-cross-platform-diff (this) | Difference analysis and strategy insight ("what to do") |
| skill-content-repurposing | Format adaptation and content rewriting ("do the rewrite") |
Fit
- Multi-platform distribution strategy for one piece of content
- Grounds for choosing a main platform
- Understanding audience and discourse differences between platforms
Before you start
- No API key; analysis rests on public platform knowledge plus industry understanding.
- Platform rules and algorithms change — mind the analysis timestamp.
skill-cross-platform-diff is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.