.claude/skills/tracking-brand-sentiment-across-platformsRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Tracks brand sentiment across Twitter Reddit and TikTok simultaneously using apidojo's scrapers on Apify. Triggers when the user asks to: monitor brand reputation across social platforms, track how people talk about a brand on multiple channels, compare brand sentiment on Twitter vs Reddit vs TikTok, get a cross-platform brand health score, monitor a product launch reaction across social media, measure overall public sentiment for a brand, or build a multi-platform social listening dashboard for a brand. Returns p…
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.claude/skills/tracking-brand-sentiment-across-platformsRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/tracking-brand-sentiment-across-platformsRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/tracking-brand-sentiment-across-platformsRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
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clawhub install @apidojo-io/tracking-brand-sentiment-across-platformsclawhub inspect @apidojo-io/tracking-brand-sentiment-across-platforms --version 1.0.0This automated, non-executing scan is bound to this release hash. It is not a safety certification and may contain false positives or false negatives.
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sha256:aaebbf054557fd14cad882c506d9c5e50698348f87082fd39a7a79d0c8b98820skill-card.mdSKILL.md- Initial release of the skill for monitoring brand sentiment across Twitter, Reddit, and TikTok simultaneously. - Combines parallel platform scraping, sentiment classification, and cross-platform health scoring into a unified workflow. - Returns per-platform sentiment breakdowns, overall health score (0–100), top positive/negative posts, and theme analysis. - Supports customizable search filters and engagement-weighted sentiment analysis per platform. - Designed for brand managers, CMOs, PR, and reputation monitoring teams.