About this skill

Problem

Operations and strategy teams follow AI gaming news, new titles, competitor campaigns, beta tests, Steam releases, and version events across scattered sites. Trading-platform banners often require manual screenshots, repeated cleanup, and inconsistent summarization. This skill turns an SLG industry morning brief into a repeatable workflow and outputs DingTalk-compatible Markdown.

How it works

Six sections: web_search gathers AI + gaming news; TapTap, Haoyou Kuaibao, Jiuyou, 163 News, Gamersky, and Tencent News track domestic new titles; Steam and official game announcements cover releases and version events.
Competitor banner extraction: web_fetch fetches product-list pages from platforms such as Pangxie and Panzhi, extracts banner URLs by patterns like public-image.pxb7.com/... and pzdsoss.pzds.com/..., deduplicates by file name, then uses analyze_image for OCR.
Filtering and output: excludes evergreen platform notices, onboarding tips, and dated materials older than one month, then formats results as Platform, Campaign, Time, Rules.

Boundaries

It depends on public page structure and OCR accuracy. Home-page carousels rendered by JavaScript may need manual screenshots before extraction, while official announcements, beta info, and leaderboards may lag or be incomplete. Verify time-sensitive campaigns against official pages before publishing.

Screenshots

Use Cases

Compile SLG DingTalk briefing
Extract trading banner text
Track betas and game events
Format competitor campaign table

Best For

Game ops: compile daily SLG briefing
Analyst: extract trading banner rules
Editor: format SLG briefing tables
Planner: track betas and Steam releases

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