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Update to Dativue
Snapshot Nov 3, 2026 · 19:18 UTC · version 1.3.0
Collection source: skill API.
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{
"description": "Use Dativue when a user wants current, source-backed content trends, themes, formats, hooks, or emerging conversations across public social networks.",
"included_files": [],
"name": "dativue-content-trends",
"skill_md_contents": "---\nname: dativue-content-trends\ndescription: Use Dativue when a user wants current, source-backed content trends, themes, formats, hooks, or emerging conversations across public social networks.\n---\n\n# Content trend research\n\nUse this workflow when the user wants evidence-backed themes, formats, hooks, or emerging conversations around a topic.\n\n1. Ask which of YouTube, TikTok, Instagram, Reddit, X, and enabled public LinkedIn should be searched if the user did not specify.\n2. Search the selected networks directly. Use `research_credit_quote` when the user asks for an estimate or the plan may exceed 50 credits, and get approval for a higher-cost plan.\n3. Call `social_search` separately for each approved network. Prefer recent sorting for trends and use the user’s time boundary when the source supports it.\n4. Use `social_get` only for a small number of high-value results when the search result lacks necessary detail. Disclose extra calls when they materially expand the plan.\n5. Cluster repeated themes, formats, audience problems, hooks, and counter-patterns. Separate observations from interpretation.\n6. Cite the canonical source URL for every meaningful claim. Mention networks or queries that returned no evidence; never manufacture cross-network agreement.\n\nDefault maximum: 23 credits for one search on all six networks at pricing version 2026-08-31.\n"
}SHA-256 of public snapshot: 099d6e0761e9e36537b242f1ead0a8e328184ce48a29595664bed77411a09663