.claude/skills/tracking-product-launch-buzz-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
Tracks product launch buzz and reactions on Twitter using apidojo's Twitter Search scraper. Triggers when the user asks to: track product launch buzz on Twitter, monitor Twitter reactions to a product launch, measure product launch sentiment on X, find tweets about a new product release, track how a product launch is being received on Twitter, monitor competitor product announcements on Twitter, or analyze the social media impact of a product launch. Returns tweet volume, sentiment distribution, top voices, geogra…
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.claude/skills/tracking-product-launch-buzz-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
.agents/skills/tracking-product-launch-buzz-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
skills/tracking-product-launch-buzz-on-twitterRuntime, accounts, dependencies, permissions, network behavior and task quality remain untested.
This command is recorded from the source ecosystem and resolves the registry's latest release. The fixed release shown on this page should be inspected before adoption.
clawhub install @apidojo-io/tracking-product-launch-buzz-on-twitterclawhub inspect @apidojo-io/tracking-product-launch-buzz-on-twitter --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:c10480a0be385640bfb3e5b52d4fffc9d4c4fef7e078169f13729f4ca48137e4skill-card.mdSKILL.md- Initial release of the skill for tracking product launch buzz and reactions on Twitter. - Returns tweet volume, sentiment distribution, top voices, geographic spread, and a buzz score. - Supports flexible search and filter options, including language, verified users, media type, date range, and engagement thresholds. - Provides classification of buzz level and scoring based on activity and influence. - Ideal for product marketing, PR, and competitive analysis teams monitoring launches.