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数据分析
108,943
explorer
SkillsMP
@supabase
构建修改 Studio Explorer 暴露面, 包括 notebooks, chats, SQL snippets, 查询 cells, 共享工具栏模式.
Build and modify Studio Explorer surfaces, including notebooks, chats, SQL snippets, query cells, and their shared toolbar patterns.
#data-analysis
supabase/supabase
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
social-media-dashboard
SkillsMP
@nexu-io
创作者-facing 社交媒体分析仪表盘单个 HTML 文件. 平台 switcher (X / LinkedIn / YouTube / Instagram), row KPI cards (followers, 互动 rate, likes, reposts), follower-growth 图表, "顶部帖子 week
Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
social-media-matrix-tracker-template
SkillsMP
@nexu-io
社媒矩阵数据追踪面板模板（社交媒体 Matrix 跟踪器）。 使用用户要求 cinematic, 数据-dense 社交媒体分析仪表盘多-平台指标, 可交互图表, hover insights, range compare, dark/light 主题 switching s
社媒矩阵数据追踪面板模板（Social Media Matrix Tracker）。 Use when users ask for a cinematic, data-dense social media analytics dashboard with multi-platform metrics, interactive charts, hover insights, range compare, and dark/light theme switching in a s
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
social-media-dashboard
SkillsMP
@nexu-io
创作者-facing 社交媒体分析仪表盘单个 HTML 文件. 平台 switcher (X / LinkedIn / YouTube / Instagram), row KPI cards (followers, 互动 rate, likes, reposts), follower-growth 图表, "顶部帖子 week
Creator-facing social media analytics dashboard in a single HTML file. A platform switcher (X / LinkedIn / YouTube / Instagram), a row of KPI cards (followers, engagement rate, likes, reposts), a follower-growth chart, a "top post this week
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
social-media-matrix-tracker-template
SkillsMP
@nexu-io
社媒矩阵数据追踪面板模板（社交媒体 Matrix 跟踪器）。 使用用户要求 cinematic, 数据-dense 社交媒体分析仪表盘多-平台指标, 可交互图表, hover insights, range compare, dark/light 主题 switching s
社媒矩阵数据追踪面板模板（Social Media Matrix Tracker）。 Use when users ask for a cinematic, data-dense social media analytics dashboard with multi-platform metrics, interactive charts, hover insights, range compare, and dark/light theme switching in a s
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
video-template-frame-nyt-graph
SkillsMP
@nexu-io
使用插件用户需求 "NYT 图谱" HyperFrames 动效视频 — Animated 数据图表 print editorial 风格
Use this plugin when the user wants a "NYT Graph" HyperFrames motion video — Animated data chart in print editorial style
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
94,749
video-template-frame-pentagram-stat
SkillsMP
@nexu-io
使用插件用户需求 "Pentagram Stat Frame" HyperFrames 动效视频 — Swiss-grid statistic anchor — giant number, red accent, growing bars, black 数据 bar. Rational editorial.
Use this plugin when the user wants a "Pentagram Stat Frame" HyperFrames motion video — Swiss-grid statistic anchor — giant number, red accent, growing bars, black data bar. Rational and editorial.
#data-analysis
nexu-io/open-design
Git 克隆
查看详情与安装步骤 →
数据分析
85,798
check-forecast-signals
SkillsMP
@koala73
获取 probabilistic forecasts scorecard 上下文. 使用用户要求 World 监控 forecasting, probabilities shifted, calibrated forecasts.
Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.
#data-analysis
koala73/worldmonitor
Git 克隆
查看详情与安装步骤 →
数据分析
85,798
check-forecast-signals
SkillsMP
@koala73
获取 probabilistic forecasts scorecard 上下文. 使用用户要求 World 监控 forecasting, probabilities shifted, calibrated forecasts.
Retrieve probabilistic forecasts and their scorecard context. Use when the user asks what World Monitor is forecasting, how probabilities shifted, or how calibrated the forecasts are.
#data-analysis
koala73/worldmonitor
Git 克隆
查看详情与安装步骤 →
数据分析
81,766
understand-knowledge
SkillsMP
@Egonex-AI
分析 Karpathy-模式 LLM Wiki 知识库生成可交互知识图谱实体 extraction, implicit relationships, topic 聚类.
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
#data-analysis
egonex-ai/understand-anything
Git 克隆
查看详情与安装步骤 →
数据分析
77,275
mx-data
SkillsMP
@datawhalechina
基于东方财富权威数据库的金融数据查询工具，支持行情、财务及关联关系数据。
#data-analysis
datawhalechina/hello-agents
Git 克隆
查看详情与安装步骤 →
数据分析
71,554
cost-benchmark
SkillsMP
@ruvnet
运行 corpus 基准测试 — booster locally, 可选 Gemini/Sonnet/Opus baselines — persist verifiable measured-vs-claimed 表格
Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
#data-analysis
ruvnet/ruflo
Git 克隆
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数据分析
71,554
cost-compact-context
SkillsMP
@ruvnet
Wrap getTokenOptimizer(). getCompactContext() 获取 compacted ReasoningBank 上下文成本-分析查询; 报告 bridge-reported tokensSaved
Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved
#data-analysis
ruvnet/ruflo
Git 克隆
查看详情与安装步骤 →
数据分析
71,554
kg-extract
SkillsMP
@ruvnet
提取实体 relations 来源文件构建知识图谱
Extract entities and relations from source files to build a knowledge graph
#data-analysis
ruvnet/ruflo
Git 克隆
查看详情与安装步骤 →
数据分析
71,554
market-ingest
SkillsMP
@ruvnet
Ingest normalize 市场数据 OHLCV vectors HNSW indexing
Ingest and normalize market data into OHLCV vectors with HNSW indexing
#data-analysis
ruvnet/ruflo
Git 克隆
查看详情与安装步骤 →
数据分析
71,554
observe-metrics
SkillsMP
@ruvnet
聚合展示系统指标 anomaly 检测时间 period
Aggregate and display system metrics with anomaly detection for a time period
#data-analysis
ruvnet/ruflo
Git 克隆
查看详情与安装步骤 →
数据分析
71,554
memory-search
SkillsMP
@ruvnet
SOTA 语义搜索 — 混合 (sparse+dense), 图谱 RAG 多-hop, MMR diversity reranking, recency weighting
SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting
#data-analysis
ruvnet/ruflo
Git 克隆
查看详情与安装步骤 →
数据分析
54,122
understand-knowledge
SkillsMP
@Lum1104
分析 Karpathy-模式 LLM Wiki 知识库生成可交互知识图谱实体 extraction, implicit relationships, topic 聚类.
Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.
#data-analysis
lum1104/understand-anything
Git 克隆
查看详情与安装步骤 →
数据分析
45,171
data-analysis
SkillsMP
@bojieli
基于已确认数据执行可审计的数学计算和描述统计。
#data-analysis
bojieli/ai-agent-book
Git 克隆
查看详情与安装步骤 →
数据分析
45,171
writing
SkillsMP
@bojieli
将共享历史中的已验证事实和计算结果整理成符合受众、格式与长度约束的成稿。
#data-analysis
bojieli/ai-agent-book
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
matplotlib
SkillsMP
@K-Dense-AI
Low-级别 plotting 函数库完整 customization. 使用 need 精细-grained 控制 plot element, 创建 novel plot types, integrating 特定 scientific 工作流程. 导出 PNG/PDF/SVG publication. quic
Low-level plotting library for full customization. Use when you need fine-grained control over every plot element, creating novel plot types, or integrating with specific scientific workflows. Export to PNG/PDF/SVG for publication. For quic
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
scientific-visualization
SkillsMP
@K-Dense-AI
创建审计 truthful, accessible, publication-就绪 scientific figures Matplotlib, Seaborn, Plotly. 使用 figure 设计, 多-面板布局, uncertainty 缺失-数据 displays, color/contrast 评审, 图片元数据 valida
Create and audit truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata valida
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
seaborn
SkillsMP
@K-Dense-AI
Statistical visualization pandas 集成. 使用快速 exploration distributions, relationships, categorical comparisons attractive defaults. Best box plots, violin plots, pair plots, heatmaps. 构建 matplotlib.
Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib.
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
shap
SkillsMP
@K-Dense-AI
Explain 审计 machine-学习预测 SHAP. 使用 selecting SHAP explainers maskers, computing validating 功能 attributions, handling 多-输出 explanations, producing 本地全局 SHAP visualizations.
Explain and audit machine-learning predictions with SHAP. Use for selecting SHAP explainers and maskers, computing and validating feature attributions, handling multi-output explanations, and producing local or global SHAP visualizations.
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
statistical-analysis
SkillsMP
@K-Dense-AI
Guided statistical 分析研究数据 - 测试选择, assumption 检查, effect sizes, power 分析, Bayesian alternatives, APA-formatted 报告. 使用用户需求 compare 分组, 测试假设, 分析 e
Guided statistical analysis for research data - test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze e
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
statistical-power
SkillsMP
@K-Dense-AI
样例-size statistical power calculations 规划研究. 使用 someone 要求 " many subjects/samples/replicates need", 需求 priori power 分析, minimum detectable effect (MDE), power curve, 需要
Sample-size and statistical power calculations for planning studies. Use whenever someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
43,904
statsmodels
SkillsMP
@K-Dense-AI
Statistical 模型函数库 Python. 使用 need 特定模型类 (OLS, GLM, mixed 模型, ARIMA) 详细诊断, residuals, 推理计算. Best econometrics, 时间 series, rigorous 推理计算 coefficient 标签页
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference. Best for econometrics, time series, rigorous inference with coefficient tab
#data-analysis
k-dense-ai/scientific-agent-skills
Git 克隆
查看详情与安装步骤 →
数据分析
40,932
dataviz
SkillsMP
@Hmbown
选择产出合适 chart/dashboard/visual explanation 数据, legible encodings source/assumption 笔记.
Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.
#data-analysis
hmbown/codewhale
Git 克隆
查看详情与安装步骤 →
数据分析
39,613
creating-box-plot-insights
SkillsMP
@PostHog
创建商品分析 SQL-backed box plot insights PostHog. 使用用户要求创建, 构建, save box plot, visualize numeric distribution, compare quartiles medians 跨 dates 分组, 转换 SQL 结果
Creates product analytics or SQL-backed box plot insights in PostHog. Use when a user asks to create, build, or save a box plot, visualize a numeric distribution, compare quartiles or medians across dates or groups, or turn SQL results into
#data-analysis
posthog/posthog
Git 克隆
查看详情与安装步骤 →
数据分析
39,583
nature-figure
SkillsMP
@Yuan1z0825
创建, revise, 审计, 导出 submission-grade scientific figures Nature-family 其他 high-impact venues Python (matplotlib/seaborn) R (ggplot2/patchwork/ComplexHeatmap), 包括多-面板 plots, figures4papers-风格 w
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R (ggplot2/patchwork/ComplexHeatmap), including multi-panel plots, figures4papers-style w
#data-analysis
yuan1z0825/nature-skills
Git 克隆
查看详情与安装步骤 →
数据分析
33,024
correlation-regime
SkillsMP
@HKUDS
Correlation-regime 检测 crisis attribution — edge-density regime 状态 hysteresis, causal ( look-ahead) smoothing, regime-aware exposure 上下文, 首先-mover crisis attribution honest NAME / MACRO / AMBIGUOUS / ABSTAIN
Correlation-regime detection and crisis attribution — edge-density regime states with hysteresis, causal (no look-ahead) smoothing, regime-aware exposure context, first-mover crisis attribution with honest NAME / MACRO / AMBIGUOUS / ABSTAIN
#data-analysis
hkuds/vibe-trading
Git 克隆
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数据分析
33,024
quant-statistics
SkillsMP
@HKUDS
Quantitative statistical 方法: ADF unit-root / cointegration 测试, GARCH volatility modeling, 回归分析诊断 (heteroskedasticity / autocorrelation), Bootstrap, 假设 testing.
Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.
#data-analysis
hkuds/vibe-trading
Git 克隆
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数据分析
33,024
technical-basic
SkillsMP
@HKUDS
核心 technical indicator 合集 (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), 生成 composite signal 通过三个-dimensional voting. Pure pandas 实现 OHLCV 数据.
Core technical indicator collection (trend EMA/ADX + mean-reversion BB/RSI + volume-price OBV/volume ratio), generates a composite signal via three-dimensional voting. Pure pandas implementation for any OHLCV data.
#data-analysis
hkuds/vibe-trading
Git 克隆
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数据分析
32,390
analyzing-disk-image-with-autopsy
SkillsMP
@mukul975
Perform 全面 forensic 分析 raw (dd), E01, AFF disk 图片 Autopsy Sleuth Kit, recovering deleted 文件, examining 元数据嵌入式产物, 关键词搜索, 构建 investigation timelines
Perform comprehensive forensic analysis of raw (dd), E01, or AFF disk images with Autopsy and The Sleuth Kit, recovering deleted files, examining metadata and embedded artifacts, keyword searching, and building investigation timelines with
#data-analysis
mukul975/anthropic-cybersecurity-skills
Git 克隆
查看详情与安装步骤 →
数据分析
32,390
analyzing-threat-landscape-with-misp
SkillsMP
@mukul975
查询 MISP (恶意软件信息 Sharing 平台) instance 通过 PyMISP compute 事件统计, IOC type breakdowns, threat actor galaxy 集群, 标签 trends, 生成 threat landscape 报告 temporal trends. 使用要求
Query a MISP (Malware Information Sharing Platform) instance via PyMISP to compute event statistics, IOC type breakdowns, threat actor galaxy clusters, and tag trends, and generate threat landscape reports with temporal trends. Use when ask
#data-analysis
mukul975/anthropic-cybersecurity-skills
Git 克隆
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数据分析
30,563
datacommons-client
SkillsMP
@davila7
工作数据 Commons, 平台 providing programmatic 访问公开 statistical 数据全局 sources. 使用技能处理 demographic 数据, economic indicators, 健康统计, environmental 数据, 公开 da
Work with Data Commons, a platform providing programmatic access to public statistical data from global sources. Use this skill when working with demographic data, economic indicators, health statistics, environmental data, or any public da
#data-analysis
davila7/claude-code-templates
Git 克隆
查看详情与安装步骤 →
数据分析
30,563
plotly
SkillsMP
@davila7
可交互 scientific statistical 数据可视化函数库 Python. 使用创建图表, plots, visualizations 包括 scatter plots, line 图表, bar 图表, heatmaps, 3D plots, geographic 映射, statistical distribution
Interactive scientific and statistical data visualization library for Python. Use when creating charts, plots, or visualizations including scatter plots, line charts, bar charts, heatmaps, 3D plots, geographic maps, statistical distribution
#data-analysis
davila7/claude-code-templates
Git 克隆
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数据分析
30,563
scientific-visualization
SkillsMP
@davila7
创建 publication figures matplotlib/seaborn/plotly. 多-面板布局, 错误 bars, significance markers, colorblind-安全, 导出 PDF/EPS/TIFF, 日志记录-就绪 scientific plots.
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
#data-analysis
davila7/claude-code-templates
Git 克隆
查看详情与安装步骤 →
数据分析
30,563
seaborn
SkillsMP
@davila7
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, 回归分析, correlation matrices, KDE, faceted plots, exploratory 分析 publication figures.
Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.
#data-analysis
davila7/claude-code-templates
Git 克隆
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数据分析
30,563
statistical-analysis
SkillsMP
@davila7
Statistical 分析工具集. 假设测试 (t-测试, ANOVA, chi-square), 回归分析, correlation, Bayesian 统计, power 分析, assumption 检查, APA 报告, academic 研究.
Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.
#data-analysis
davila7/claude-code-templates
Git 克隆
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数据分析
30,282
officecli-data-dashboard
SkillsMP
@iOfficeAI
使用技能构建多-element Excel 仪表盘 — 仪表盘工作表打开, 多个 formula-driven KPI cards, 多个图表, sparklines, conditional formatting — CSV tabular 输入. 触发: '仪表盘', 'KPI dashboa
Use this skill to build a multi-element Excel dashboard — Dashboard sheet on open, multiple formula-driven KPI cards, multiple charts, sparklines, and conditional formatting — from CSV or tabular input. Trigger on: 'dashboard', 'KPI dashboa
#data-analysis
iofficeai/officecli
Git 克隆
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数据分析
29,149
speckit-git-feature
SkillsMP
@pmndrs
创建功能分支 sequential timestamp numbering
Create a feature branch with sequential or timestamp numbering
#data-analysis
pmndrs/react-spring
Git 克隆
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数据分析
28,412
getting-started
SkillsMP
@TanStack
创建 Angular TanStack 表格 v9 表格 injectTable 内部 injection 上下文, 显式稳定 tableFeatures columns, signal-backed 数据, FlexRender structural directives 辅助函数.
Create an Angular TanStack Table v9 table with injectTable inside injection context, explicit stable tableFeatures and columns, signal-backed data, and FlexRender structural directives or helpers.
#data-analysis
tanstack/table
Git 克隆
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数据分析
28,412
table-state
SkillsMP
@TanStack
使用 Angular-signal-backed 表格. atoms, direct 模板读取, computed 选择器, controlled signals, value-or-updater callbacks, 外部 Angular 存储 atoms 会计 injectTable initializer reruns.
Use Angular-signal-backed table.atoms, direct template reads, computed selectors, controlled signals, value-or-updater callbacks, and external Angular Store atoms while accounting for injectTable initializer reruns.
#data-analysis
tanstack/table
Git 克隆
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数据分析
28,412
with-tanstack-query
SkillsMP
@TanStack
编排 Svelte 查询 Svelte 表格手册筛选, 排序, 分页使用响应式查询输入, 查询-结果数据 getters, 服务端 counts, 单个来源服务端-数据 truth.
Compose Svelte Query with Svelte Table manual filtering, sorting, and pagination using reactive query inputs, query-result data getters, server counts, and a single source of server-data truth.
#data-analysis
tanstack/table
Git 克隆
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数据分析
28,412
aggregation
SkillsMP
@TanStack
聚合 TanStack 表格 columns independently 分组, 包括 grand totals, caller-选中 row totals, 多个 keyed aggregations, 自定义上下文-基于 definitions, 成组 merges, 手册 values, 工作进程 constraints.
Aggregate TanStack Table columns independently of grouping, including grand totals, caller-selected row totals, multiple keyed aggregations, custom context-based definitions, grouped merges, manual values, and worker constraints.
#data-analysis
tanstack/table
Git 克隆
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数据分析
28,095
recall
SkillsMP
@rohitg00
搜索 agentmemory past observations, sessions, learnings topic 使用混合 BM25 以及 vector 以及图谱搜索. 使用用户说明 "recall", " ", " ", " seen", 需要上下文 p
Search agentmemory for past observations, sessions, and learnings about a topic using hybrid BM25 plus vector plus graph search. Use when the user says "recall", "what did we do about", "did we ever", "have we seen", or needs context from p
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rohitg00/agentmemory
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recharts/recharts
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