Generate Mastodon trend intelligence and boost-optimized posting briefs.
npx skills add https://github.com/Muvon/octomind-tap --skill trend-mastodon
Please help me install this Agent Skill. Skill: trend-mastodon Source: https://github.com/Muvon/octomind-tap/tree/main/skills/trend-mastodon Command: npx skills add https://github.com/Muvon/octomind-tap --skill trend-mastodon
It helps users identify and interpret Mastodon federation signals and trends so they can craft posts that earn boosts instead of getting muted or ignored.
Use this skill to produce a Mastodon-ready posting brief for a named topic by activating an octoweb trend session for “Mastodon” and requesting a boost-optimized hook, hashtags, CW/alt-text decisions, and instance-targeting plan.
High-intent search queries and answers about installing and using this skill.
Mastodon federation-aware trend harvesting maps explore, local, public, and hashtag surfaces across home and niche instances to identify what different communities surface. This analysis reveals cross-instance spread and hashtag-follow discovery for targeted reach.
The best way to optimize Mastodon posts for amplification is prioritizing the boost-to-favourite ratio, reply depth, and cross-instance spread rather than view counts. Applying hook taxonomy and avoiding dead patterns maximizes boost-based reach.
You need content warnings (CW) and alt-text for Mastodon image posts when adhering to federation conventions for accessibility and content filtering. Applying CW and alt-text expectations ensures posts align with instance-specific community standards.
Mastodon trend analysis works without view-count metrics by applying Mastodon-appropriate ranking rules like boost-to-favourite ratio, reply depth, and cross-instance presence. These federation signals replace traditional view-based scoring for amplification planning.
To plan anchor-based reach for Mastodon hashtags, you use hashtag-follow discovery to identify surfacing tags and map cross-instance presence. This approach targets niche instances where specific hashtags gain traction for broader federation amplification.
Optimal timing windows for Mastodon content strategy depend on cross-instance presence and federation activity patterns rather than single-platform analytics. Analyzing local and public surfaces across instances identifies when target audiences are most active for boost amplification.
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