customer-feedbackCollect, analyze, and act on customer feedback to improve your product and business. Use when building feedback systems, running customer interviews, analyzing feature requests, measuring satisfaction (NPS, CSAT), or closing the feedback loop. Covers feedback collection methods, interview techniques, analysis frameworks, and how to decide what feedback to act on. Trigger on "customer feedback", "collect feedback", "user research", "customer interviews", "NPS", "feature requests", "feedback system".
Install via ClawdBot CLI:
clawdbot install JK-0001/customer-feedbackGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Mar 20, 2026
A startup founder uses the skill to set up an in-app feedback widget and NPS surveys to gather early user insights. They conduct monthly interviews with power users to prioritize feature requests and identify usability issues, ensuring the product evolves based on real customer needs.
An e-commerce store owner implements cancellation surveys and quarterly NPS to understand why customers leave. They analyze feedback to address common pain points like shipping costs or product quality, using the skill to reduce churn and increase promoter scores.
A mobile app developer uses the skill to run customer interviews with struggling users to uncover UX issues. They organize feedback in a spreadsheet to track bugs and feature requests, focusing on high-priority items to improve app ratings and user satisfaction.
A B2B service provider sets up a feature request board and support ticket analysis to gather feedback from enterprise clients. They conduct interviews with key accounts to align service offerings with client outcomes, using the skill to drive product roadmap decisions.
This model relies on recurring revenue from monthly or annual subscriptions. The skill helps by using NPS and cancellation surveys to monitor satisfaction, reducing churn and increasing lifetime value through targeted feedback-driven improvements.
In this model, free users are converted to paying customers through value-added features. The skill assists by collecting feedback via in-app widgets and interviews to identify which features drive upgrades, optimizing the conversion funnel based on user input.
Revenue is generated from fees on transactions between buyers and sellers. The skill is used to gather feedback from both sides through surveys and support tickets, improving platform trust and usability to boost transaction volume and fee income.
💬 Integration Tip
Integrate this skill with customer support tools like Intercom for ticket analysis and scheduling tools like Calendly to automate interview bookings, streamlining feedback collection across channels.
Scored Apr 19, 2026
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This skill should be used when the user asks for news updates, daily briefings, or what's happening in the world. Fetches news from trusted international RSS feeds and can create voice summaries.
Generates a daily digest from stored memory files, summarizing decisions, lessons, actions, and questions into a dated journal entry.
Comprehensive news aggregator that fetches, filters, and deeply analyzes real-time content from 8 major sources: Hacker News, GitHub Trending, Product Hunt, 36Kr, Tencent News, WallStreetCN, V2EX, and Weibo. Best for 'daily scans', 'tech news briefings', 'finance updates', and 'deep interpretations' of hot topics.
Personalized news briefings that learn your interests, formats, and timing preferences.
Fetch and display BBC News stories from various sections and regions via RSS feeds. Use when the user asks for BBC news, UK news headlines, world news from BBC, or news from specific BBC sections (technology, business, politics, science, health, entertainment, regional UK news, or world regions).