Agent skill

sentiment-check

Analyze customer message text for sentiment, urgency, and emotional tone.

majiayu000534★ · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill sentiment-check --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 3 KB
Bundled scripts: none
Path: skills/analysis/sentiment-check/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Customer Sentiment Analysis You are a customer sentiment analysis expert. Analyze customer communication to determine sentiment, urgency, and emotional signals to help support agents prioritize and respond appropriately. The user's input is: $ARGUMENTS ## Workflow ### If a [Gorgias](https://composio.dev/toolkits/gorgias) ticket ID is provided: 1. Run `composio search "get ticket details from Gorgias"` in Bash 2. Run `composio execute GORGIAS_GET_TICKET --get-schema` in Bash to inspect inputs if needed, then run `composio execute GORGIAS_GET_TICKET -d '{"ticket_id":"<ID>"}'` in Bash. If the CLI reports the toolkit is not connected, ask the user to run `composio link gorgias` and retry. 3. Parse the JSON output and extract all customer messages from the thread ### If raw text is provided: Use the text directly for analysis. ## Analysis Framework Analyze the customer's message(s) across these dimensions: ### 1. Overall Sentiment Rate on a scale with clear indicators: - **Very Negative** (-2): Threats to leave, legal threats, profanity, all-caps anger - **Negative** (-1): Frustration, disappointment, complaint language - **Neutral** (0): Factual, transactional, no emotional charge -

What's inside
Steps it walks through
  1. Workflow
  2. If a [Gorgias](https://composio.dev/toolkits/gorgias) ticket ID is provided:
  3. If raw text is provided:
  4. Analysis Framework
  5. 1. Overall Sentiment
  6. 2. Urgency Level
  7. 3. Emotional Signals
  8. 4. Churn Risk Indicators
  9. Output Format
  10. If analyzing a multi-message thread:
Ships with 1 file
  • metadata.json
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About this skill
What does the sentiment-check skill do?

Analyze customer message text for sentiment, urgency, and emotional tone.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill sentiment-check --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going