تحليل البيانات

تصفح مهارات الوكيل لمعالجة البيانات والتصور والتحليلات

تساعد الفئات ونجوم GitHub وتاريخ آخر تحديث في المصدر على تنظيم الفهرس وترتيب نتائجه. ولا تمثل هذه الإشارات توصية من SkillsMP أو اعتمادًا للجودة أو مراجعةً للسلامة أو ضمانًا للملاءمة. افتح صفحة المهارة وافحص مصدرها قبل الاستخدام.

١٩٬٧٩٤ نتيجة

supabase/supabase

Build and modify Studio Explorer surfaces, including notebooks, chats, SQL snippets, query cells, and their shared toolbar patterns.

لغة محتوى المهارة: الإنجليزية

social-media-dashboard

nexu-io/open-design

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" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.

لغة محتوى المهارة: الإنجليزية

social-media-matrix-tracker-template

nexu-io/open-design

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 single HTML artifact.

لغة محتوى المهارة: الإنجليزية

social-media-dashboard

nexu-io/open-design

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" preview, and a trending topics / top comments side panel. Use when the brief mentions a "social media dashboard", "creator analytics", "social analytics", or names specific platforms (X, Twitter, LinkedIn, YouTube, Instagram, TikTok) together with metrics like followers, engagement, likes, reposts.

لغة محتوى المهارة: الإنجليزية

social-media-matrix-tracker-template

nexu-io/open-design

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 single HTML artifact.

لغة محتوى المهارة: الإنجليزية

video-template-frame-nyt-graph

nexu-io/open-design

Use this plugin when the user wants a "NYT Graph" HyperFrames motion video — Animated data chart in print editorial style

لغة محتوى المهارة: الإنجليزية

video-template-frame-pentagram-stat

nexu-io/open-design

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.

لغة محتوى المهارة: الإنجليزية

check-forecast-signals

koala73/worldmonitor

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.

لغة محتوى المهارة: الإنجليزية

check-forecast-signals

koala73/worldmonitor

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.

لغة محتوى المهارة: الإنجليزية

understand-knowledge

Egonex-AI/Understand-Anything

Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.

لغة محتوى المهارة: الإنجليزية

datawhalechina/hello-agents

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。

لغة محتوى المهارة: الصينية

Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table

لغة محتوى المهارة: الإنجليزية

cost-compact-context

Wrap getTokenOptimizer().getCompactContext() to retrieve compacted ReasoningBank context for cost-analysis queries; report bridge-reported tokensSaved

لغة محتوى المهارة: الإنجليزية

Extract entities and relations from source files to build a knowledge graph

لغة محتوى المهارة: الإنجليزية

Ingest and normalize market data into OHLCV vectors with HNSW indexing

لغة محتوى المهارة: الإنجليزية

observe-metrics

Aggregate and display system metrics with anomaly detection for a time period

لغة محتوى المهارة: الإنجليزية

SOTA semantic search — hybrid (sparse+dense), Graph RAG multi-hop, MMR diversity reranking, recency weighting

لغة محتوى المهارة: الإنجليزية

understand-knowledge

Lum1104/Understand-Anything

Analyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.

لغة محتوى المهارة: الإنجليزية

bojieli/ai-agent-book

基于已确认数据执行可审计的数学计算和描述统计。

لغة محتوى المهارة: الصينية

bojieli/ai-agent-book

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。

لغة محتوى المهارة: الصينية

K-Dense-AI/scientific-agent-skills

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 quick statistical plots use seaborn; for interactive plots use plotly; for publication-ready multi-panel figures with journal styling, use scientific-visualization.

لغة محتوى المهارة: الإنجليزية

scientific-visualization

K-Dense-AI/scientific-agent-skills

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 validation, and journal export planning.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

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. For interactive plots use plotly; for publication styling use scientific-visualization.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

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.

لغة محتوى المهارة: الإنجليزية

statistical-analysis

K-Dense-AI/scientific-agent-skills

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 experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results - even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.

لغة محتوى المهارة: الإنجليزية

statistical-power

K-Dense-AI/scientific-agent-skills

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 justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for designs with no formula — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Use this skill even when the request only mentions an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.

لغة محتوى المهارة: الإنجليزية

K-Dense-AI/scientific-agent-skills

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 tables. For guided statistical test selection with APA reporting use statistical-analysis.

لغة محتوى المهارة: الإنجليزية

Hmbown/CodeWhale

Choose and produce an appropriate chart/dashboard/visual explanation from data, with legible encodings and source/assumption notes.

لغة محتوى المهارة: الإنجليزية

creating-box-plot-insights

PostHog/posthog

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 a box plot. Chooses between a standard Trends box plot and a SQL insight, validates the distribution data, saves the insight, and verifies it.

لغة محتوى المهارة: الإنجليزية

Yuan1z0825/nature-skills

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 work, and journal-ready SVG/PDF/TIFF outputs. Use for paper or scientific plots, manuscript data visualization, 论文配图、学术写作配图、科研绘图、科研作图、画图、作图、出图、论文图表、可视化. Define the conclusion, evidence logic, data integrity, template compatibility, export needs, and reviewer risks before plotting; honor or persist the Python/R backend choice. Also use the separate OpenRouter GPT Image 2 route for explicit AI-generated graphical abstracts, mechanism diagrams, concept schematics, 论文示意图、机制示意图、图形摘要; this route skips backend choice and treats outputs as drafts. Do not use for interactive dashboards, statistics-only analysis, data cleaning, literature review, code debugging, pure photo editing, or Illustrator/Figma-first infographics without manuscript-figure intent.

لغة محتوى المهارة: الإنجليزية

correlation-regime

HKUDS/Vibe-Trading

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 verdicts, and a correlation-rewiring leaderboard that catches slow bleed-outs

لغة محتوى المهارة: الإنجليزية

quant-statistics

HKUDS/Vibe-Trading

Quantitative statistical methods: ADF unit-root / cointegration tests, GARCH volatility modeling, regression diagnostics (heteroskedasticity / autocorrelation), Bootstrap, and hypothesis testing.

لغة محتوى المهارة: الإنجليزية

technical-basic

HKUDS/Vibe-Trading

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.

لغة محتوى المهارة: الإنجليزية

analyzing-disk-image-with-autopsy

mukul975/Anthropic-Cybersecurity-Skills

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 visual reports. Use for structured analysis of a forensic disk image or when stakeholders need visual reports from evidence.

لغة محتوى المهارة: الإنجليزية

analyzing-threat-landscape-with-misp

mukul975/Anthropic-Cybersecurity-Skills

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 asked to analyze threat intelligence data, summarize top threat actors or malware families, or produce a CTI landscape report from MISP events.

لغة محتوى المهارة: الإنجليزية

datacommons-client

davila7/claude-code-templates

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 datasets available through Data Commons. Applicable for querying population statistics, GDP figures, unemployment rates, disease prevalence, geographic entity resolution, and exploring relationships between statistical entities.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

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 distributions, financial charts, and dashboards. Supports both quick visualizations (Plotly Express) and fine-grained customization (graph objects). Outputs interactive HTML or static images (PNG, PDF, SVG).

لغة محتوى المهارة: الإنجليزية

scientific-visualization

davila7/claude-code-templates

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.

لغة محتوى المهارة: الإنجليزية

davila7/claude-code-templates

Statistical visualization. Scatter, box, violin, heatmaps, pair plots, regression, correlation matrices, KDE, faceted plots, for exploratory analysis and publication figures.

لغة محتوى المهارة: الإنجليزية

statistical-analysis

davila7/claude-code-templates

Statistical analysis toolkit. Hypothesis tests (t-test, ANOVA, chi-square), regression, correlation, Bayesian stats, power analysis, assumption checks, APA reporting, for academic research.

لغة محتوى المهارة: الإنجليزية

officecli-data-dashboard

iOfficeAI/OfficeCLI

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 dashboard', 'analytics dashboard', 'executive dashboard', 'metrics dashboard', 'CSV to dashboard', 'data visualization'. Output is a single .xlsx. Scene-layer on officecli-xlsx: inherits every xlsx hard rule. DO NOT invoke for: a single budget tracker / one-sheet CSV-with-formatting (use xlsx), a 3-statement / DCF / LBO financial model (use financial-model), a weekly report with ≤ 1 chart and < 10 rows (use xlsx).

لغة محتوى المهارة: الإنجليزية

speckit-git-feature

pmndrs/react-spring

Create a feature branch with sequential or timestamp numbering

لغة محتوى المهارة: الإنجليزية

getting-started

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.

لغة محتوى المهارة: الإنجليزية

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.

لغة محتوى المهارة: الإنجليزية

with-tanstack-query

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.

لغة محتوى المهارة: الإنجليزية

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.

لغة محتوى المهارة: الإنجليزية

rohitg00/agentmemory

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 past sessions.

لغة محتوى المهارة: الإنجليزية

recharts/recharts

Create visual regression tests

لغة محتوى المهارة: الإنجليزية