customer-feedback-collection-and-management
Gathering, analyzing, and acting on user input through surveys, feedback widgets, rating systems, sentiment analysis, and integration with product roadmap to improve products and services.
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Gathering, analyzing, and acting on user input through surveys, feedback widgets, rating systems, sentiment analysis, and integration with product roadmap to improve products and services.
Transforming raw data into actionable insights through reporting, analytics, and visualization using BI tools like Tableau, Looker, Power BI, and Metabase to support data-driven decision making.
Write data analysis reports where all quantitative information appears in programmatically-generated plots, never in hand-written text tables. Prevents AI from fabricating numbers by ensuring all values come fr...
Custom metrics system, metric definitions, data ingestion, and aggregation. Use when working with metric tracking, data collection, or the metrics API.
Specialist in complex web visualizations (Force Graphs), physics-based animations (Framer Motion), and premium Next.js UI.
LLM-friendly Excel operations via the `xl` CLI. Read cells, view ranges, search, evaluate formulas, export (CSV/JSON/PNG/PDF), style cells, modify rows/columns. Use when working with .xlsx files or spreadsheet...
Data import/export and GDPR compliance. Use when working with user data export, import, or privacy features.
Automatically analyzes datasets to perform classification, regression, or clustering. Generates Python training scripts and HTML reports.
Weekly and monthly review system, snapshots, and AI-powered insights. Use when working with review generation or reflection features.
Financial accounts, transactions, net worth tracking, tax profiles, income, and expenses. Use when working with the core financial data management features.
Financial simulation engine, scenarios, projections, and what-if analysis. Use when working with future financial projections or simulation features.
Geração de diagramas técnicos para tutoriais, artigos e documentação
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for...
Creating visual displays of key metrics and data points that provide at-a-glance insights for monitoring, analysis, and data-driven decision-making.
Main dashboard, analytics aggregation, wallboard, and visualizations. Use when working with the dashboard, score rings, charts, or aggregated data views.
Standard data analysis - comprehensive statistical analysis (Sonnet-tier)
Annoter visuellement des plots matplotlib et les modifier via référence par couleur
Life dimensions system, scoring algorithms, and dimension management. Use when working with the 8 life dimensions, dimension scores, weights, or formulas.
Basic data analysis - fast exploratory analysis (Haiku-tier)
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Comprehensive guide for data preprocessing patterns in ML, covering data cleaning, feature engineering, normalization, and pipeline creation.
Creating effective data visualizations using charts, graphs, and visual representations to communicate insights clearly and accurately following Tufte and Few principles.
Comprehensive guide to A/B testing, multivariate testing, statistical significance, and experiment analysis for data-driven product decisions
Tracking player behavior and game performance through metrics, event tracking, funnel analysis, retention metrics, and integration with analytics platforms for data-driven game development.
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.