Skill: ceobotson-bot/doctorclaw-feedback-digest (version 1.0.0)

--- name: doctorclaw-feedback-digest description: "Customer feedback digest — collect, categorize, and summarize reviews, survey responses, and support tickets. Weekly cron or on-demand." version: 1.0.0 tags: [feedback, customer-success, reviews, support, automation] metadata: clawdbot: emoji: "⭐" source: author: DoctorClaw url: https://www.doctorclaw.ceo --- # Customer Feedback Digest Listen to your customers without drowning in data. This skill collects feedback from reviews, surveys, support tickets, and social mentions — then categorizes it by sentiment, topic, and urgency so you know exactly what to fix, what to celebrate, and what to respond to. Run it weekly for a full digest, or trigger on-demand after a product launch or campaign. ## What You Get - All feedback categorized by sentiment (positive, neutral, negative, critical) - Topics extracted and ranked by frequency (feature requests, bugs, praise, complaints) - Urgent issues flagged for immediate response - Suggested responses for negative reviews - Trend analysis showing sentiment shifts over time - Highlight reel of your best customer quotes ## Setup ### Required - **Feedback source** — At least one: review platform data (CSV export), survey responses, support tickets, or social mentions your agent can access ### Optional (but recommended) - **Multiple sources** — combine Google Reviews, app store reviews, support emails, survey tools - **Response access** — ability to reply to reviews or tickets after your approval - **Delivery channel** — Telegram/Discord for digest and urgent alerts - **Feedback archive** — folder to store historical digests for trend tracking ### Configuration Tell your agent: 1. **Feedback sources** — where to pull feedback from (file paths, URLs, integrations) 2. **Review schedule** — when to compile the digest (default: every Monday) 3. **Response style** — your tone for responding to reviews (grateful, professional, empathetic) 4. **Urgency triggers** — what counts as urgent (1-star reviews, keywords like "refund", "broken", "unsubscribe") 5. **Delivery** — where to send the digest 6. **Product/service context** — what you sell, so the agent understands the feedback properly ## How It Works ### Step 1: Collect Feedback - Pull feedback from all configured sources - For each piece: source, date, author (if available), content, rating (if applicable) - Normalize ratings across sources (stars → sentiment score) ### Step 2: Analyze Sentiment Categorize each piece of feedback: **🟢 POSITIVE — Happy customers** - 4-5 star reviews, compliments, thank-you messages - Keywords: love, great, amazing, helpful, recommend, best **🟡 NEUTRAL — Mixed or informational** - 3-star reviews, feature requests without complaint, questions - Neither strongly positive nor negative **🔴 NEGATIVE — Unhappy customers** - 1-2 star reviews, complaints, frustration - Keywords: disappointed, frustrated, doesn't work, waste, overpriced **⚫ CRITICAL — Needs immediate attention** - Threats to churn, refund requests, public complaints, legal mentions - Keywords: refund, cancel, lawyer, scam, report, BBB ### Step 3: Extract Topics Group feedback by recurring themes: - **Feature requests** — things customers want added - **Bugs/issues** — things that are broken or confusing - **Praise points** — what customers love most (keep doing this) - **Pain points** — recurring frustrations - **Competitive mentions** — when customers compare you to competitors Rank by frequency — most-mentioned topics first. ### Step 4: Draft Responses For NEGATIVE and CRITICAL feedback, draft responses: - Acknowledge the issue specifically - Apologize where appropriate - Offer a solution or next step - Match the configured response style - Mark as DRAFT — never post without approval ### Step 5: Compile Digest ``` ⭐ Feedback Digest — [Date Range] 📊 SENTIMENT OVERVIEW Total feedback: [X] pieces 🟢 Positive: [X] ([X]%) | 🟡 Neutral: [X] ([X]%) 🔴 Negative: [X] ([X]%) | ⚫ Critical: [X] Average rating: [X.X] / 5.0 ⚫ CRITICAL — RESPOND NOW ([X]) 1. [Source] — [Author]: "[excerpt]" 📝 Suggested response: "[draft]" 🔴 NEGATIVE HIGHLIGHTS ([X]) 2. [Source] — "[excerpt]" Topic: [bug/complaint/pricing] 📝 Suggested response ready 🔥 TOP TOPICS THIS WEEK 1. [Topic] — mentioned [X] times ([sentiment breakdown]) 2. [Topic] — mentioned [X] times 3. [Topic] — mentioned [X] times 💚 BEST QUOTES (use in marketing!) • "[Great quote from happy customer]" — [Author] • "[Another great quote]" — [Author] 📈 TRENDS • Sentiment [up/down] [X]% vs last period • New topic emerging: [topic] • Recurring issue: [issue] — [X] mentions this month 💡 RECOMMENDATIONS • [Fix X — 8 negative mentions this week] • [Feature Y requested by 5 customers — consider adding] • [Reply to critical reviews within 24 hours] ``` ### Step 6: Deliver & Archive - Send digest via configured channel - Critical items get immediate alerts (don't wait for weekly digest) - Save to `memory/feedback/YYYY-MM-DD.md` - Track response status (drafted → approved → posted) ## Examples **User:** "Show me this week's customer feedback" **Agent compiles and responds with the full digest.** **User:** "What are customers complaining about most?" **Agent:** > Top complaints this week: > 1. **Onboarding confusion** — 6 mentions. Customers struggling with initial setup. > 2. **Slow response times** — 4 mentions. Support taking 48+ hours. > 3. **Pricing clarity** — 3 mentions. Confusion about what's included in each tier. > > Recommendation: Create an onboarding guide or video — this alone would address 40% of negative feedback. **User:** "Send response to the critical review" **Agent:** Posts the approved response to the review platform. ## Customization Ideas - **NPS tracking** — run periodic NPS surveys and track scores over time - **Review request automation** — after positive interactions, auto-send review requests to happy customers - **Feedback-to-feature pipeline** — auto-create feature request tickets from customer suggestions - **Competitor review monitoring** — track what customers say about competitors too - **Testimonial collector** — auto-curate the best quotes for marketing use ## Want More? This skill handles feedback collection and analysis. But if you want: - **Custom integrations** — connect to Trustpilot, G2, Intercom, Zendesk, or your specific review platforms - **Advanced automations** — auto-respond to reviews, trigger NPS surveys, feed insights into product roadmap - **Full system setup** — identity, memory, security, and 5 custom automations built specifically for your workflow **DoctorClaw** sets up complete OpenClaw systems for businesses: - **Guided Setup ($495)** — 2-hour live walkthrough. Everything configured, integrated, and running by the end of the call. - **Done-For-You ($1,995)** — 7-day custom build. 5 automations, 3 integrations, full security, 30-day support. You do nothing except answer a short intake form. → [doctorclaw.ceo](https://www.doctorclaw.ceo)


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: clean (LOW)