smithery/gtmagents

trend-research

Use when identifying cultural moments, audio trends, memes, or creator collaborations to inform social content.

Installation

$ npx skills add smithery/gtmagents --skill trend-research

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
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Gemini CLI Not declared
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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,669 B
  • docs SUMMARY.md 133 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

Trend Research & Culture Listening Skill

When to Use

  • Planning reactive or moment-based content.
  • Refreshing creative direction for campaigns that feel stale.
  • Arming leadership/content teams with timely POVs.

Framework

Inputs to Monitor

  1. Platform Signals – TikTok Creative Center, Instagram Reels Trends, X trending topics, Reddit threads.
  2. Industry Signals – Gartner/Forrester briefings, customer communities, competitor feeds.
  3. Audience Signals – social listening alerts, community polls, support tickets.
  4. Creator Ecosystem – emerging creators, UGC submissions, partner pitches.

Research Process

  1. Daily 15-minute scan per priority platform.
  2. Document notable hooks/audio/templates in a shared tracker with shelf life + usage notes.
  3. Score trends by relevance (brand fit, persona interest, risk level).
  4. Recommend activation concept + guardrails (tone, compliance, required approvals).
  5. Pair with content team to storyboard adaptations and distribution timing.

Templates

  • Trend bulletin (description, platform, example links, recommended angle).
  • Approval checklist (brand, legal, partner).
  • Creator shortlist with outreach status.
  • “Trend viability” scoring sheet with fit/risk/shelf-life sliders.

Tips

  • Always capture source links/media for archival.
  • Flag trends that conflict with brand safety or regulated messaging before adoption.
  • Blend evergreen pillars with at most 20–30% reactive content to avoid fatigue.