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Customer feedback analysis
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | 49.Pulse Multi-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). | alirezarezvani/ | 28k | — | ~3.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 50 | Multi-source RSS news aggregation with Claude-powered sentiment analysis and structured briefing output | sickn33/ | 47k | 1 repo | ~918 | Automated safety check: Notes | MIT | 2 days ago |
| 51 | Monitors online reviews, generates professional response drafts, and creates reputation reports. | ertugrulakben/ | 303 | — | ~3k | Automated safety check: Pass | MIT | 5 days ago |
| 52 | Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. | aiskillstore/ | 433 | 7 repos | ~2.2k | Automated safety check: Pass | No licence | yesterday |
| 53 | Core skill for game sentiment querying and analysis. An agent skill from infometa/workbuddyskills. | infometa/ | 348 | — | ~3.3k | Automated safety check: Warn | No licence | yesterday |
| 54 | An intelligent shopping research assistant that helps users find the best product to buy through systematic comparison, review analysis, and value assessment. | infranodus/ | 119 | — | ~6.1k | Automated safety check: Pass | No licence | 20 days ago |
| 55 | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. | gooseworks-ai/ | 1.2k | 1 repo | ~573 | Automated safety check: Pass | MIT | 2 days ago |
| 56 | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. | gooseworks-ai/ | 1.2k | 1 repo | ~882 | Automated safety check: Pass | MIT | 2 days ago |
| 57 | Deep Amazon review analysis for competitive intelligence and product improvement. | nexscope-ai/ | 744 | — | ~1.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 58 | Creates and launches PostHog surveys through MCP, including NPS/CSAT popovers, hosted feedback forms, and headless surveys. | PostHog/ | 40k | — | ~1.6k | Automated safety check: Pass | Unknown | yesterday |
| 59 | Market sentiment extraction from social media, news, and on-chain data including mention velocity, fear and greed indices, and influencer tracking | agiprolabs/ | 410 | — | ~2.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 60 | 60.Afa Cx DTC 客户体验与服务——客服优化、售后/退货、客户旅程、NPS/CSAT、AI 客服。触发词: 客户体验, CX, 客服, 退货, 售后, NPS, CSAT, 投诉, 客户旅程, customer experience, customer service, returns policy, support tickets。复杂问题先经 afa。 | afadtc/ | 168 | — | ~2.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 61 | Collecting and synthesizing user feedback across channels (support tickets, NPS, in-app feedback, sales calls, social mentions, customer councils) into a continuous signal that informs product… | rampstackco/ | 945 | — | ~5.2k | Automated safety check: Pass | MIT | 4 days ago |
| 62 | Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs. | phuryn/ | 27k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 63 | Analyze user feedback data to identify segments with sentiment scores, JTBD, and product satisfaction insights. | phuryn/ | 27k | — | ~875 | Automated safety check: Pass | MIT | yesterday |
| 64 | Create refined user personas from research data — 3 personas with JTBD, pains, gains, and unexpected insights. | phuryn/ | 27k | — | ~762 | Automated safety check: Pass | MIT | yesterday |
| 65 | 65.Bug Radar Bug-library analysis lane for TideRider. An agent skill from infometa/workbuddyskills. | infometa/ | 348 | — | ~2.7k | Automated safety check: Warn | No licence | yesterday |
| 66 | Aggregates transcript and frame data into an interactive web dashboard. | jamditis/ | 416 | — | ~2k | Automated safety check: Pass | MIT | 6 days ago |
| 67 | Research competitors, analyze their messaging, and generate a positioning document with category definition, differentiation claims, value propositions, and proof points. | gooseworks-ai/ | 1.2k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 68 | Scrape G2, Capterra, and Trustpilot reviews for your product and competitors, then extract recurring themes, objections, proof points, and exact customer language for use in messaging. | gooseworks-ai/ | 1.2k | 1 repo | ~1.7k | Automated safety check: Pass | MIT | 2 days ago |
| 69 | Establish channels and processes for capturing and processing post-launch feedback during PRD v0.9 Go-to-Market. | mattgierhart/ | 180 | — | ~3.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 70 | A skill your agent uses when the user wants to monitor what is being said about the brand, competitors, and the category — channels and keywords to track, sentiment scoring, weekly and monthly… | minhnv0807/ | 609 | — | ~4.8k | Automated safety check: Pass | MIT | 29 days ago |
| 71 | When the user needs to analyze, categorize, or extract actionable insights from customer feedback across multiple sources, especially feature requests. | shawnpang/ | 343 | — | ~2.2k | Automated safety check: Pass | MIT | 6 mo ago |
| 72 | When the user wants to research customer pain points, complaints, or sentiment using review platforms like Trustpilot, G2, Capterra, or app stores. | shawnpang/ | 343 | — | ~1.5k | Automated safety check: Pass | MIT | 6 mo ago |
| 73 | 73.Pm Feedback Классифицирует пользовательский фидбек (Excel/CSV/текст) по 6 категориям, делает sentiment-анализ, кластеризацию тем, анализ трендов, триангуляцию по источникам, расчёт NPS и извлечение персон. | serejaris/ | 229 | — | ~2.6k | Automated safety check: Pass | MIT | 3 days ago |
| 74 | A skill your agent uses when the user says 'analyze feedback', 'feedback analysis', 'what are customers asking for', or has support tickets, reviews, or survey data to categorize, score, and… | cwinvestments/ | 423 | — | ~2.7k | Automated safety check: Pass | Proprietary | 14 days ago |
| 75 | 75.Cre Legal CRE Legal review suite — 6 specialist skills for PSA review, title & survey analysis, estoppel tracking, loan document review, insurance coordination, and transfer document preparation for… | ahacker-1/ | 113 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | 1 mo ago |
| 76 | Execute this skill enables AI assistant to perform natural language processing and text analysis using the nlp-text-analyzer plugin. | jeremylongshore/ | 2.8k | — | ~819 | Automated safety check: Pass | MIT | yesterday |
| 77 | Execute this skill enables AI assistant to analyze the sentiment of text data. | jeremylongshore/ | 2.8k | — | ~908 | Automated safety check: Pass | MIT | yesterday |
| 78 | 78.Svy Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. | brycewang-stanford/ | 4.6k | — | ~3.4k | Automated safety check: Pass | Unknown | 5 days ago |
| 79 | Analyze survey results into actionable PM insights. An agent skill from product-on-purpose/pm-skills. | product-on-purpose/ | 716 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 80 | Finds winning Amazon products with 14 battle-tested selection strategies & 6-dimension risk assessment. | LeoYeAI/ | 2.2k | — | ~5.1k | Automated safety check: Pass | MIT | 2 mo ago |
| 81 | Find winning Amazon products with 14 battle-tested selection strategies & 6-dimension risk assessment. | LeoYeAI/ | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | 2 mo ago |
| 82 | 82.Linkfoxagent Cross-border e-commerce AI Agent with 41 specialized tools for Amazon/TikTok/eBay/Walmart product research, competitor analysis, keyword tracking, review insights, patent detection, trend analysis… | LeoYeAI/ | 2.2k | — | ~3.8k | Automated safety check: Pass | MIT | 2 mo ago |
| 83 | Customer leadership advisor on CX strategy, retention and expansion, and voice-of-customer programs. | borghei/ | 891 | — | ~2.1k | Automated safety check: Pass | MIT | 4 days ago |
| 84 | [omh] Unsorted customer feedback and bug reports: cluster customer signals and choose the next workflow. | rlaope/ | 3.2k | — | ~1.5k | Automated safety check: Pass | MIT | yesterday |
| 85 | Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills. | guia-matthieu/ | 150 | — | ~923 | Automated safety check: Pass | MIT | 10 days ago |
| 86 | Scan support tickets, Slack channels, NPS scores, and usage patterns to flag accounts showing early churn indicators. | gooseworks-ai/ | 1.2k | 1 repo | ~2.1k | Automated safety check: Pass | MIT | 2 days ago |
| 87 | Aggregate customer feedback from multiple sources — support tickets, NPS comments, Slack messages, G2 reviews, call transcripts, survey responses — into a unified VoC report with theme clustering… | gooseworks-ai/ | 1.2k | 1 repo | ~2.4k | Automated safety check: Pass | MIT | 2 days ago |
| 88 | Systematically harvest short testimonials from customers via NPS, milestones, post-purchase, and email during PRD v1.0 Market Adoption. | mattgierhart/ | 180 | — | ~2.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 89 | Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots. | wondelai/ | 2.4k | — | ~3.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 90 | 90.Mom Test Talk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. | wondelai/ | 2.4k | — | ~4.2k | Automated safety check: Pass | MIT | 1 mo ago |
| 91 | Analyze feedback and memories to suggest filter.yaml additions, then open a PR. | Azure/ | 134 | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 92 | Weekdays, conditional browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 543 | — | ~15k | Automated safety check: Pass | MIT | yesterday |
| 93 | Weekly on a Wednesday, light browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 543 | — | ~14k | Automated safety check: Pass | MIT | yesterday |
| 94 | Weekdays, file work only, no browser at all. An agent skill from markfulton/ai-employees. | markfulton/ | 543 | — | ~20k | Automated safety check: Pass | MIT | yesterday |
| 95 | Weekdays, heavy browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 543 | — | ~18k | Automated safety check: Pass | MIT | yesterday |
| 96 | Weekdays, conditional browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 543 | — | ~18k | Automated safety check: Pass | MIT | yesterday |
