skill-algorithm-updates · Platform Algorithm Tracker

skill-algorithm-updates tracks algorithm, recommendation, moderation, and monetization changes across six major Chinese social platforms — Douyin, Xiaohongshu, Bilibili, Weibo, Zhihu, and WeChat Channels — and distills them into a structured briefing with creator impact analysis and actionable responses. Every claim carries a source URL, confirmed announcements are separated from community rumors, and nothing speculative is included.
Example invocation: "What algorithm changes hit Douyin and Xiaohongshu this month?"
Full brief
Positioning
skill-algorithm-updates is a tracker for algorithm and policy changes on Chinese social platforms: it aggregates public information into a structured briefing that answers "what changed, how it affects creators, and what to do about it." It covers platform mechanics only — algorithms, recommendation, moderation, monetization — not content trends or industry news.
Core capabilities
- Six-platform coverage: Douyin, Xiaohongshu, Bilibili, Weibo, Zhihu, WeChat Channels; filterable by platform, time range (past week / month / quarter), and focus (traffic distribution / content moderation / monetization).
- Every claim sourced: items without a source URL are excluded; each change is dated, and anything older than six months moves to background context.
- Source tiers: official announcements marked "confirmed"; industry press and community discussion marked "unverified / community signal".
- Impact analysis: each change comes with its concrete effect on creators (traffic, content strategy, monetization).
- Actionable responses: practical adjustments per change.
- Cross-platform trends: flags rule changes appearing on multiple platforms at once.
- Profile-aware: with a creator profile, prioritizes their active platforms and tailors impact and advice to their content type.
Workflow
- Scope: platforms, time range, focus; with a profile, read the creator's active platforms
- Multi-angle search: 2–3 query sets per platform across official and community sources
- Third-party sweep: industry coverage and community perception
- Fetch & extract: change details, effective dates, official statements; tier each source
- Compose: per-platform brief → impact → advice → cross-platform trends → source list
- Save the briefing to
outputs/
Inputs & outputs
| Input | Required | Notes |
|---|---|---|
| platforms | No | Target platforms; defaults to all six |
| time_range | No | "past week" / "past month" / "past quarter"; default "past month" |
| focus | No | "traffic distribution" / "content moderation" / "monetization" / "all"; default "all" |
Output: structured Markdown briefing (date, platforms; per-platform section with recent changes, creator impact, and advice; cross-platform trends; full source URL list).
Boundaries with adjacent skills
- skill-trending-topics: minute-level trending topics for trend-chasing and quick second-creation.
- skill-news-intelligence: daily-level deep reads from industry media for trend-watching and topic reserves.
- skill-cross-platform-diff: static platform feature comparisons; this skill tracks live rule changes.
Fit
- Creators diagnosing traffic drops against recent rule changes
- Content teams tracking monetization policy shifts
- Operators keeping a standing intelligence feed on platform mechanics
- Multi-platform operators comparing rule direction across platforms
Before you start
- No API key needed; runs on public web search and fetching.
- A creator profile (active platforms, content type) lets the briefing focus and personalize.
- Community reports are marked unverified; only occurred changes are reported — no predictions; platforms with nothing found say so explicitly.
skill-algorithm-updates is part of the Aiglade Skill library. Invoke it from the Aiglade chat box in plain language.