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Aggregate customer feedback into theme insights and weekly action priorities.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "customer-pulse" skill from askskill: 1. Download https://raw.githubusercontent.com/anthropics/knowledge-work-plugins/main/small-business/skills/customer-pulse/SKILL.md 2. Save it as ~/.claude/skills/customer-pulse/SKILL.md 3. Reload skills and tell me it's ready
Please aggregate customer feedback from these sources: PayPal disputes, HubSpot tickets and feedback, customer email sentiment from the last two weeks, and the Google/Yelp reviews I pasted. Group by theme, label positive and negative sentiment, include verbatim evidence, and provide the top three things we should do this week.
A themed customer sentiment report with representative quotes, issue priorities, and three actionable improvement recommendations.
I will provide exported Google and Yelp negative reviews plus HubSpot complaint tickets. Please identify the top 3-5 recurring complaints, estimate their frequency, quote representative comments, and assess which issues most affect retention or conversion.
An analysis of negative review drivers showing recurring complaint themes, evidence quotes, and business impact assessment.
Using this week’s PayPal disputes, HubSpot tickets, customer email sentiment, and external reviews, create a management weekly report: summarize overall customer feeling first, then list major themes, risk signals, positive highlights to amplify, and finish with three action recommendations for this week.
A management-ready weekly report summarizing customer pulse, risks, highlights, and clear next actions.
Ask: "How are customers feeling this month?"
Claude pulls disputes, tickets, email threads, and Intercom conversations for the last 30 days, groups them into 3–5 themes with verbatim evidence, and delivers a "do these 3 things this week" action list.
To include Google/Yelp reviews, paste them after triggering — or say "I have some reviews to add."
Set the date window. Default: last 30 days. If the user specifies a range, use it.
Pull PayPal disputes. Fetch disputes opened in the window. If the PayPal API returns a rate-limit error, skip and add PayPal: rate-limited — not included to the Sources section. Do not retry; do not error. See reference/gotchas.md for the rate-limit pattern.
Pull HubSpot tickets and feedback. Fetch open and recently closed tickets. If 0 tickets exist, record HubSpot tickets: 0 and continue — do not surface a warning.
Pull Gmail threads. Search for threads in the window containing: refund cancel unhappy issue problem disappointed frustrated broken late slow wrong missing. Extract subject lines and 1–2 sentence excerpts per thread.
Pull Intercom conversations. Call search_conversations to fetch open and recently closed conversations. Then call get_conversation for each conversation ID returned to access the full conversation_parts. Extract parts where author.type === 'user' — these are customer messages. Exclude parts where author.type is admin or bot.
Accept pasted reviews (optional). If the user pastes Google or Yelp review text, include it in the source pool tagged as [Review]. No connector required.
Extract themes. Group all evidence into 3–5 recurring themes. Each theme must include:
[PayPal], [HubSpot], [Gmail], [Intercom], or [Review]Verbatim quotes are non-negotiable — never paraphrase. See reference/gotchas.md for the verbatim anti-pattern.
Generate the "do these 3 things" list. Rank themes by signal count. Pick the top 3 and write one concrete, owner-actionable step per theme. Format as a numbered checklist.
Deliver the report. Structure the output with these sections in order:
For a complete worked example, see reference/examples/example-report.md.
This skill is read-only — it does not post, send, reply, or modify any records. No approval gate is required.
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