chartjs-graphs
Chart.js integration patterns for creating interactive statistical graphs in Django templates. Covers HTML setup, data injection, and JavaScript chart rendering with datalabels plugin.
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Chart.js integration patterns for creating interactive statistical graphs in Django templates. Covers HTML setup, data injection, and JavaScript chart rendering with datalabels plugin.
Create minimalist, mobile-first Home Assistant dashboards using the Mushroom cards ecosystem (13+ card types) with card-mod styling. Use when building modern HA dashboards, creating compact mobile interfaces, s...
Run accuracy evaluation/tuning for RQ-SCAN and generate reports.
Map pilot outcomes to strategic benefits, ROI estimates, and KPI alignments to demonstrate value realization. Use when quantifying business impact, calculating return on investment, and aligning pilot results w...
Generates The Edmund Bogen Team's weekly market intelligence package: email, article page, dashboard, and community listings pages. Guides team through data collection, validates consistency, and produces all H...
Configure conditional visibility for Home Assistant dashboard cards based on entity states, numeric values, screen size, users, time, and complex logic (and/or). Use when hiding/showing cards dynamically, creat...
Run MOSAIC microsimulation and extract formatted results for paper
Display structured data in Textual using tables, lists, trees, and scrollable containers. Use when rendering data tables, building list views, displaying hierarchical data, scrolling large content, pagination,...
Econometric analysis, statistical inference, and empirical economics. Use for regression, causal inference, IV, DID, RDD, time series, panel data, or hypothesis testing.
Combine outputs from multiple instances into unified view, preserving diversity
Explore and analyze pilot data sets to uncover patterns, anomalies, and initial insights. Use when performing ad-hoc data investigations, validating data quality, or preparing exploratory visualizations for hyp...
Optimize ClickHouse queries for speed and efficiency. Helps with primary key design, sparse indexes, data skipping indexes (minmax, set, bloom filter, ngrambf_v1), partitioning strategies, projections, PREWHERE...
Xiaohongshu (Little Red Book) infographic series generator with multiple style options. Breaks down content into 1-10 cartoon-style infographics. Use when user asks to create "小红书图片", "XHS images", or "Red...
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...
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. Provides intelligent header detection and semantic column mapping for robust da...
Data analysis workflows and patterns for processing, analyzing, and visualizing data using Python data science libraries.
Analyze plans and improve query performance.
Document ER diagrams and table metadata.
MongoDB database exploration for understanding game data, debugging, and investigation. Auto-applies when discussing database structure or debugging data issues.
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Create and embed Mermaid diagrams in Markdown files for visualizing documentation, features, architecture, workflows, and processes. Use when asked to "add a diagram", "create a flowchart", "visualize the workf...
Product analytics and feedback loop guidance for KPIs, funnels, and experimentation. Use when defining metrics instrumentation, experiments, or indicators of product success.
Progress reporting and dashboard creation
Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Use when you need to analyze datasets, perform statistical tests, create...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。