Topic · Sales & Support
Best customer feedback analysis skills, page 2
Customer feedback analysis skills, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 49 | A skill your agent uses when designing or revisiting product pricing — selecting a pricing model (subscription seat-based, usage-based, value-based, freemium, or hybrid), running Van Westendorp… | alirezarezvani/ | 28k | — | ~2.3k | Automated safety check: Pass | MIT | 1 mo ago |
| 50 | 50.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 |
| 51 | Multi-source RSS news aggregation with Claude-powered sentiment analysis and structured briefing output | sickn33/ | 47k | 1 repo | ~918 | Automated safety check: Notes | MIT | yesterday |
| 52 | Monitors online reviews, generates professional response drafts, and creates reputation reports. | ertugrulakben/ | 302 | — | ~3k | Automated safety check: Pass | MIT | yesterday |
| 53 | Core skill for game sentiment querying and analysis. An agent skill from infometa/workbuddyskills. | infometa/ | 342 | — | ~3.3k | Automated safety check: Warn | No licence | yesterday |
| 54 | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. | gooseworks-ai/ | 1.2k | 1 repo | ~573 | Automated safety check: Pass | MIT | today |
| 55 | Scrape product reviews from G2, Capterra, and Trustpilot using Apify. | gooseworks-ai/ | 1.2k | 1 repo | ~882 | Automated safety check: Pass | MIT | today |
| 56 | 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 | 17 days ago |
| 57 | Deep Amazon review analysis for competitive intelligence and product improvement. | nexscope-ai/ | 735 | — | ~1.4k | Automated safety check: Pass | MIT | 1 mo ago |
| 58 | Analyze sentiment in text using ML models. An agent skill from guia-matthieu/clawfu-skills. | guia-matthieu/ | 150 | — | ~923 | Automated safety check: Pass | MIT | 6 days ago |
| 59 | Run Part 12 of the engagement methodology — the continuous improvement loop that aggregates quarterly-review, customer-feedback, competitive, and operating signals into a Quarterly Product &… | indranilbanerjee/ | 854 | 1 repo | ~3.6k | Automated safety check: Notes | MIT | 3 days ago |
| 60 | Elite AI-powered customer support specialist mastering conversational AI, automated ticketing, sentiment analysis, and omnichannel support experiences. | aiskillstore/ | 430 | 6 repos | ~2.2k | Automated safety check: Pass | No licence | today |
| 61 | 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 |
| 62 | 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/ | 935 | — | ~5.2k | Automated safety check: Pass | MIT | today |
| 63 | Identify the Ideal Customer Profile (ICP) from research data with demographics, behaviors, JTBD, and needs. | phuryn/ | 27k | — | ~1.5k | Automated safety check: Pass | MIT | 23 days ago |
| 64 | 64.Bug Radar Bug-library analysis lane for TideRider. An agent skill from infometa/workbuddyskills. | infometa/ | 342 | — | ~2.7k | Automated safety check: Warn | No licence | yesterday |
| 65 | Aggregates transcript and frame data into an interactive web dashboard. | jamditis/ | 416 | — | ~2k | Automated safety check: Pass | MIT | 3 days ago |
| 66 | 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 | today |
| 67 | 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 | today |
| 68 | Establish channels and processes for capturing and processing post-launch feedback during PRD v0.9 Go-to-Market. | mattgierhart/ | 179 | — | ~3.9k | Automated safety check: Pass | MIT | 1 mo ago |
| 69 | 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/ | 608 | — | ~4.8k | Automated safety check: Pass | MIT | 25 days ago |
| 70 | 70.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 |
| 71 | When the user needs to analyze, categorize, or extract actionable insights from customer feedback across multiple sources, especially feature requests. | shawnpang/ | 337 | — | ~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/ | 337 | — | ~1.5k | Automated safety check: Pass | MIT | 6 mo ago |
| 73 | 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 | 11 days ago |
| 74 | 74.Svy Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration. | brycewang-stanford/ | 4.5k | — | ~3.4k | Automated safety check: Pass | Unknown | 2 days ago |
| 75 | Analyze survey results into actionable PM insights. An agent skill from product-on-purpose/pm-skills. | product-on-purpose/ | 713 | — | ~3.1k | Automated safety check: Pass | Apache-2.0 | 3 days ago |
| 76 | 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 |
| 77 | 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 |
| 78 | 78.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 |
| 79 | Customer leadership advisor on CX strategy, retention and expansion, and voice-of-customer programs. | borghei/ | 874 | — | ~2.1k | Automated safety check: Pass | MIT | today |
| 80 | [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 | today |
| 81 | Systematically harvest short testimonials from customers via NPS, milestones, post-purchase, and email during PRD v1.0 Market Adoption. | mattgierhart/ | 179 | — | ~2.8k | Automated safety check: Pass | MIT | 1 mo ago |
| 82 | Draft ready-to-post responses to positive, neutral, and negative reviews on any platform (Google, Yelp, G2, Capterra, Trustpilot, Amazon, App Store), with formal and casual variants, brand-voice… | indranilbanerjee/ | 854 | 1 repo | ~1.8k | Automated safety check: Pass | MIT | 3 days ago |
| 83 | 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 | 27 days ago |
| 84 | 84.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 | 27 days ago |
| 85 | Analyze feedback and memories to suggest filter.yaml additions, then open a PR. | Azure/ | 134 | — | ~2.7k | Automated safety check: Pass | MIT | yesterday |
| 86 | 86.Octolens Query and analyze brand mentions from Octolens API. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~2.9k | Automated safety check: Pass | MIT | 7 mo ago |
| 87 | Advanced Twitter search and social media data analysis. An agent skill from sundial-org/awesome-openclaw-skills. | sundial-org/ | 663 | — | ~2.3k | Automated safety check: Pass | No licence | 7 mo ago |
| 88 | Discovers product opportunities by analyzing Amplitude analytics, experiments, session replays, and customer feedback. | amplitude/ | 159 | — | ~3.9k | Automated safety check: Pass | No licence | 2 mo ago |
| 89 | Weekdays, conditional browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~15k | Automated safety check: Pass | MIT | 4 days ago |
| 90 | Weekly on a Wednesday, light browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~14k | Automated safety check: Pass | MIT | 4 days ago |
| 91 | Weekdays, file work only, no browser at all. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~20k | Automated safety check: Pass | MIT | 4 days ago |
| 92 | Weekdays, heavy browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~18k | Automated safety check: Pass | MIT | 4 days ago |
| 93 | Weekdays, conditional browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~18k | Automated safety check: Pass | MIT | 4 days ago |
| 94 | Weekly on a Friday, conditional browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~19k | Automated safety check: Pass | MIT | 4 days ago |
| 95 | Monthly on the last weekday, light browser lane. An agent skill from markfulton/ai-employees. | markfulton/ | 493 | — | ~18k | Automated safety check: Pass | MIT | 4 days ago |
| 96 | Inbound customer-feedback triage system. An agent skill from borghei/Claude-Skills. | borghei/ | 874 | — | ~2.1k | Automated safety check: Pass | MIT | today |
