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health-data-analysis
Specialized skill for analyzing personal health data, medical records, lab results, and supplement protocols. Use when working with health records, clinical data, lab values, or health optimization planning.
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tools data analysis AI 技能
发现 tools data analysis 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
分类目录: tools data analysis
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GitHub
business-analyst
Analyze metrics, create reports, and track KPIs. Builds dashboards, revenue models, and growth projections. Use PROACTIVELY for business metrics or investor updates.
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GitHub
data-scientist
Data analysis expert for SQL queries, BigQuery operations, and data insights. Use proactively for data analysis tasks and queries.
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GitHub
working-with-resources
Work with Resource datasets (mutable state tracking) using OPAL temporal joins. Use when you need to enrich Events/Intervals with contextual state information, track resource state changes over time, or navigat...
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GitHub
aggregating-event-datasets
Aggregate and summarize event datasets (logs) using OPAL statsby. Use when you need to count, sum, or calculate statistics across log events. Covers make_col for derived columns, statsby for aggregation, group_...
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GitHub
window-functions-deep-dive
Master OPAL window functions for row-relative calculations, rankings, and moving aggregates. Covers lag(), lead(), row_number(), rank(), dense_rank(), moving averages, first(), and last(). Use when comparing ro...
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GitHub
detecting-anomalies
Detect anomalies in metrics and time-series data using OPAL statistical methods. Use when you need to identify unusual patterns, spikes, drops, or outliers in observability data. Covers statistical outlier dete...
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GitHub
analyzing-tdigest-metrics
Analyze percentile metrics (tdigest type) using OPAL for latency analysis and SLO tracking. Use when calculating p50, p95, p99 from pre-aggregated duration or latency metrics. Covers the critical double-combine...
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GitHub
working-with-intervals
Work with Interval datasets (time-bounded data) using OPAL. Use when analyzing data with start and end timestamps like distributed traces, batch jobs, or CI/CD pipeline runs. Covers duration calculations, tempo...
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GitHub
working-with-reference-tables
Work with Reference Tables (static CSV lookup data) using OPAL to enrich datasets with descriptive information. Use when you need to map IDs to human-readable names, add static metadata from CSV uploads, or per...
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GitHub
aggregating-gauge-metrics
Aggregate pre-computed metrics (gauge, counter, delta types) using OPAL. Use when analyzing request counts, error rates, resource utilization, or any numeric metrics over time. Covers align + m() + aggregate pa...
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GitHub
time-series-analysis
Analyze event datasets (logs) and intervals over time using OPAL timechart. Use when you need to visualize trends, track metrics over time, or create time-series charts. Covers timechart for temporal binning, b...
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GitHub
subquery-patterns-and-union
Use OPAL subquery syntax (@labels) and union operations to combine multiple datasets or time periods. Essential for period-over-period comparisons, multi-dataset analysis, and complex data transformations. Cove...
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GitHub
data-storytelling
Transform raw data into compelling narratives that drive decisions. Use when creating executive presentations, board decks, investor pitches, quarterly reviews, stakeholder reports, or any communication where d...
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GitHub
moai-alfred-proactive-suggestions
Guide Alfred to provide non-intrusive proactive suggestions based on risk detection, optimization patterns, and learning opportunities
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moai-domain-data-science
Data analysis, visualization, statistical modeling, and reproducible research workflows.
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GitHub
moai-lang-r
R 4.4+ best practices with testthat 3.2, lintr 3.2, and data analysis patterns.
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GitHub
ai-data-analyst
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...
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GitHub
content-performance-analyzer
Analyzes content marketing metrics to identify top performers, trends, and optimization opportunities. Use when reviewing blog posts, social media, or campaign performance. Accepts CSV data with engagement metr...
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GitHub
chart-generation
生成专业金融图表（K线图、技术指标图）。适用于数据可视化、技术分析展示、报告生成等场景。支持多种图表类型（basic、comprehensive）和自定义样式（深色、浅色主题）。
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GitHub
data-engineering
Automatically reviews data pipelines, optimizes SQL queries, and ensures data quality. Activates when you mention: data pipeline, ETL, SQL optimization, query performance, data quality, schema design, Airflow...
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GitHub
timestamp-standard
Frontend-backend time data transmission standard, using millisecond timestamps for time points (timezone-independent); Duration/Period use ISO 8601 string format.
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GitHub
data-visualization-expert
专业数据可视化专家，精通现代图表库、仪表板设计和交互式数据展示。能够将复杂数据转化为直观、美观且富有洞察力的可视化作品。
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GitHub
ice-scorer
Automatically score growth experiments using the ICE framework (Impact × Confidence × Ease). Use when the user creates a new experiment, mentions scoring or prioritization, or when analyzing experiment backlogs...
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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。