community-sentiment-dashboard
Reporting template for tracking sentiment, risks, and advocacy signals across social + community channels.
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Installation for Agentic Skill
View all platforms →skilz install gtmagents/gtm-agents/community-sentiment-dashboard skilz install gtmagents/gtm-agents/community-sentiment-dashboard --agent opencode skilz install gtmagents/gtm-agents/community-sentiment-dashboard --agent codex skilz install gtmagents/gtm-agents/community-sentiment-dashboard --agent gemini
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Extract and copy to ~/.claude/skills/ then restart Claude Desktop
git clone https://github.com/gtmagents/gtm-agents cp -r gtm-agents/plugins/social-media-marketing/skills/community-sentiment-dashboard ~/.claude/skills/ Need detailed installation help? Check our platform-specific guides:
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Agentic Skill Details
- Repository
- gtm-agents
- Type
- Non-Technical
- Meta-Domain
- media
- Primary Domain
- monitoring
- Market Score
- 28.6
Agent Skill Grade
D
Score: 62/100
Click to see breakdown
Score Breakdown
Areas to Improve
- No trigger phrases
- Templates are mentioned but not provided in reference files
- Description lacks specific trigger terms that users would search for
Recommendations
- Focus on improving Pda (currently 17/30)
- Focus on improving Utility (currently 11/20)
- Address 3 high-severity issues first
Graded: 1/24/2026
Developer Feedback
I found your community-sentiment-dashboard skill and noticed it's tackling a really useful problem—real-time sentiment tracking across communities—but the implementation feels like it's caught between a few different architectural directions. With a 62/100, there's solid potential here, but I'd like to dig into what's holding it back.
Links:
The TL;DR
You're at 62/100, which lands you in D territory. This is based on Anthropic's five-pillar framework for agentic skills. Your Spec Compliance is actually solid (11/15), but Utility is dragging things down (11/20)—you've got the structure, just missing the substance.
What's Working Well
- Valid frontmatter – Your YAML is clean and follows conventions. Hyphen-case naming is correct.
- Clear problem domain – The five-component framework (Signal Sources, Sentiment Stack, Risk Board, Advocates, Actions) is a sensible way to slice sentiment tracking.
- grep-friendly structure – The skill file is organized in a way that's easy to search and navigate.
The Big One: Missing Templates and Examples
Here's the thing: you mention templates but they don't actually exist. Your Templates section lists "Dashboard slide layout (KPI tiles + trend graphs + highlights/lowlights)" and "Escalation tracker" and "Advocate tracker," but users get nothing concrete to work with.
Why it matters: Without actual examples, users can't visualize what the output looks like or understand the exact shape of data they're building. That's a quick +8 point swing right there (hitting PDA layering, reference depth, and utility all at once).
The fix: Create reference files—references/dashboard-template.md with an actual slide layout showing sample KPIs, references/escalation-tracker.md with a real spreadsheet structure, references/example-dashboard.md with sample sentiment data. Don't overthink it; even a markdown table showing "5,234 mentions | 68% positive | 12 escalations" moves the needle.
Other Things Worth Fixing
Trigger phrases are buried – Your description doesn't say "Use when asked to 'sentiment dashboard' or 'community listening report'." Users won't find this skill unless you're explicit. Rewrite the description to include actual trigger terms users would search for. (+2-3 points)
Workflow steps are missing – You list components but no sequential workflow. Add numbered steps: 1. Configure signal sources (connect APIs), 2. Set up sentiment analysis stack, 3. Build risk board, 4. Identify advocates. (+3-5 points)
Imperative voice inconsistency – Sections use noun phrases ("Signal Sources – social listening feeds") instead of verbs ("Configure Signal Sources – Connect social listening feeds, integrate community platforms"). Tighten the language. (+2 points)
Quick Wins
- Add reference files with actual templates and example data (+8 points—biggest bang for your buck)
- Rewrite the frontmatter description with explicit trigger phrases (+3 points)
- Convert framework to numbered workflow steps with concrete actions (+4 points)
- Show a sample dashboard output in the examples section (+3 points)
These four changes alone could push you to mid-70s.
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