mcpField
C
community-sentiment-dashboard

community-sentiment-dashboard

github.com/gtmagentsMarketing & growth42863 installsUpdated 30w ago
Repository

About community-sentiment-dashboard

A skill for monitoring community sentiment and preparing quantified updates with qualitative context. It organizes signals, risks, advocates, and follow-up actions in dashboard and tracking templates.

Key features

  1. 01Signal source organization
  2. 02Sentiment and topic tracking
  3. 03Risk and opportunity tracking
  4. 04Advocate and UGC highlights
  5. 05Action routing and follow-up
  6. 06Dashboard and escalation templates

Use cases

  1. 01Preparing weekly or monthly listening reports
  2. 02Monitoring launches or incidents
  3. 03Sharing quantified sentiment with executives

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/gtmagents/gtm-agents --skill community-sentiment-dashboard

After installing, type/community-sentiment-dashboardin Claude Code to confirm it loaded.

Details

From the project README

Community Sentiment Dashboard Skill

When to Use

  • Weekly/monthly social listening readouts.
  • Real-time monitoring during launches, incidents, or crisis scenarios.
  • Executive updates that require quantified sentiment + qualitative insights.

Framework

  1. Signal Sources – social listening feeds, community platforms, support tags, surveys.
  2. Sentiment Stack – volume, sentiment %, topics, influencer tiers, escalation status.
  3. Risk/Opportunity Board – flagged issues, severity, owners, response progress.
  4. Advocacy Spotlight – top advocates, UGC, partnership opportunities.
  5. Action Register – follow-ups routed to comms, product, support, leadership.

Templates

  • Dashboard slide layout (KPI tiles + trend graphs + highlights/lowlights).
  • Escalation tracker with severity, owner, due date, next update.
  • Advocate tracker with contact info, potential activation ideas.

Tips

  • Set alert thresholds per channel to avoid noise fatigue.
  • Pair qualitative snippets with data visuals for executive context.
  • Use with monitor-community-sentiment for automated packet generation.

Comments

Markdown supported