Data Analysis Claude Skills
2 409 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 952 tokens or less — that is what one costs your context window when the agent loads it. 549 ship runnable scripts rather than instructions alone. 31 of them cannot work without an MCP server, most often rube. We also found 386 copies of these same skills sitting in other people's repositories — counted once here, not 386 times.
2 409 unique 443 authors 5 updated this month 241 from vendors
Conducting user research via interview guides, usability test plans, qualitative data analysis, persona creation, and journey mapping. Complements Echo's UI validation. Use when user research design or analysis is needed.
Auditing SKILL.md normalization and self-evolving compliance. Scans SKILL.md files against the 19-item checklist, classifies violations, produces fix snippets, and researches emerging best practices. No code. Use when auditing SKILL.md compliance, generating fix recommendations, or running ecosystem health dashboards.
Defining KPIs, designing tracking events, and specifying dashboards. Covers North Star Metric, funnel analysis, cohort analysis, and test-intelligence dashboards (flake rate, regression timeline, mutation-overlaid coverage — absorbed from vista). GA4/Amplitude/Mixpanel/PostHog integration. Use when metrics or test-telemetry dashboards are needed.
Статистика Telegram-канала и YouTube. Просмотры, подписчики, ERR, топ постов/видео.
微信公众号文章抓取与导出。自动处理 mp.weixin.qq.com 的登录态获取与续期， 支持按公众号搜索、抓取文章列表与正文、按日期窗口导出 Markdown / JSON / CSV。 Trigger when the user wants to crawl a WeChat public account, export recent articles, or 提到 "wcx"、"微信公众号"、"公众号文章"、"mp.weixin"、"抓公众号"、 "crawl wechat official account"、"wxmp"、"最近十天的文章"。
Reporting pipelines for CSV/JSON/Markdown exports with timestamped outputs, summaries, and post-processing.
OpenTelemetry observability patterns: traces, metrics, logs, context propagation, OTLP export, Collector pipelines, and troubleshooting
> cycles, maintenance windows, backup monitoring and test restores, monitoring and alert triage, the on-call rotation, change management for risky changes, documentation currency, and vendor or license renewals. Trigger on "patch window", "maintenance window", "did the backups run", "test restore", "alert storm", "who is on call", "can we make this change", "update the firewall", or any question about the recurring delivery work between tickets. msp-helpdesk owns the reactive desk (tickets, priorities, response targets); this skill owns the scheduled work that prevents tickets. Apply alongside msp-client-comms (maintenance notices), msp-qbr (the scorecard rows this work feeds), msp-metrics (SLA and ticket data), msp-legal (the negligence carveout that makes these logs matter), and msp-pricing (after-hours multipliers for emergency work).
> questioning a ticket's priority, response and resolution targets, "the client says everything is down", escalation, after-hours or emergency requests, security incident intake, triage order, your PSA (ticketing) system workflow, time entries, or ticket categories. Also trigger when drafting anything that describes support levels or response times to a client, and when training new hires on the service desk workflow (client onboarding is msp-onboarding). Apply alongside msp-client-comms (the messages clients receive during incidents), msp-legal (the SLA schedule lives in each client's Order; security incidents have contract implications), msp-pricing (after-hours billing multipliers), msp-maintenance (alerts that escalate into tickets, and the on-call rotation behind the after-hours line), and msp-metrics (ticket data feeds every business number).
> Use this skill whenever measuring or judging your MSP's business health or a client money on [client]", tickets per user, SLA attainment, churn, aged receivables, revenue concentration, the monthly owner review, the underlying numbers behind the client health scorecard (msp-qbr owns the client-facing scorecard document), or any version of "should we fire this client" or "this client is a problem". Also trigger when building dashboards, review sheets, or reports about the business. Apply alongside msp-pricing (the cost model and floor that give the numbers meaning), msp-helpdesk (ticket hygiene is the data source), msp-qbr (where client-facing consequences land), msp-client-comms (the repricing letter), msp-legal (waivers and exits), and msp-offboarding (the exit path).
> "QBR", "quarterly review", "business review", "account review", "prep for the [client] meeting", building a client scorecard, planning a client's technology roadmap or budget, or preparing the renewal and repricing conversation. Also trigger when someone asks how often to meet with clients or what to show them. Apply alongside msp-metrics (the numbers and the client health scorecard), msp-helpdesk (performance against targets), msp-pricing (any cost band shown to the client), msp-client-comms (the price letter and follow-up), msp-legal (waivers for declined recommendations), and msp-brand (anything the client sees).
Bulk data enrichment. Adds web-sourced fields (CEO names, funding, contact info) to lists of companies, people, or products. Use for enriching CSV files or inline data. Supports multi-turn: pass --previous-interaction-id from a prior research task to carry context forward.
| 雅思备考 AI 教练系统入口。路由到写作 / 阅读 / 口语 / 听力 / 词汇 / 诊断 / Dashboard 训练。 触发方式：/ielts、「我要备考雅思」「雅思怎么准备」「IELTS」
| IELTS 学习数据可视化 Dashboard。生成本地 HTML 网页，展示写作趋势图、四科雷达图、错题热力图、同义替换统计、考试倒计时。 触发方式：/ielts-dashboard、「Dashboard」「看数据」「打开数据面板」
Design, verify, and refactor admin dashboard, internal dashboard, customer/user management dashboard, back-office console, and reporting UI. Use only for dashboard-style management systems with operational workflows such as metrics, stat cards, filters, data tables, CRUD/list/detail pages, forms, side panels, admin shells, Playwright/browser UI verification, screenshot-based dashboard fixes, or visual QA for operational interfaces. Do not use for general UI/UX design, marketing pages, landing pages, portfolios, product sites, games, or consumer app screens unless the task is specifically an admin or management dashboard.
Look up prior Claude Code sessions when context is lost or forgotten. Use when asked what was done before, what happened in the last session, or any request to recall past conversation history, prior decisions, experiments, or outcomes. Indexes and searches raw JSONL transcripts from ~/.claude/projects/ via DuckDB. Returns verbatim user messages, summarizes AI actions and sub-agent outcomes, detects tool errors and user frustration signals, and reports tool usage statistics. Summaries cached at ~/.claude/kaizen/session-summaries/.
Use when querying, modifying, or converting JSON, YAML, TOML, XML, CSV, HCL, or INI with dasel v3. Complete reference for selectors, functions, conditionals, variables, spread operator, type casting, and format-specific patterns.
Use when exploring unknown structured data files with dasel v3 — discover schema, list keys, find nested values, sample arrays, identify data types across JSON, YAML, TOML, XML, CSV, HCL, INI formats
Use when modifying, converting, or transforming structured data with dasel v3 — in-place mutations, format conversion, batch operations, array manipulation, object construction, and merge patterns across JSON, YAML, TOML, XML, CSV, HCL, INI
Use when starting, stopping, or checking the dot-dash live session dashboard — a real-time browser UI that monitors all active Claude Code sessions, streams transcripts, and supports prompt injection
Optimize existing CLAUDE.md, SKILL.md, agent definitions, and other AI-facing files for Claude comprehension and economy. Scope: optimization of existing content only — not upstream sync, not read-only auditing. Measures baseline metrics, delegates to @ai-doc-optimizer agent with file-type-specific context, runs independent verification via second agent, measures post-optimization metrics, and presents comprehensive before/after report. Supports iterative mode for large targets. Use when improving prompt effectiveness, reducing token waste, or rewriting instructions for LLM consumption. Invoke with /optimize-claude-md <file-or-directory>.
Mermaid diagram syntax reference for all diagram types — flowchart, sequence, class, state, ER, gantt, git graph, mindmap, timeline, user journey, pie, quadrant, XY chart, block, sankey, C4, kanban, and more. Use when constructing or debugging any Mermaid diagram definition.
Specialist skill for Python data engineering — pandas, polars, DuckDB, numpy, ETL pipelines, tabular data ingestion, and notebook-to-module extraction. Use when working with dataframes, data validation at ingress boundaries, merge/join operations, typed column contracts, or choosing between pandas vs polars vs DuckDB for a data task.
Builds end-to-end document processing pipelines using LandingAI ADE. Covers batch and async processing, classify-then-extract workflows for mixed document types, RAG pipelines with vector DB ingestion, database integration (Snowflake, CSV, DataFrames), visualization (bounding box overlays, cropped chunk images, word-level annotation), and Streamlit UIs. Use when composing ADE parse/extract/split operations into multi-step pipelines, processing document batches in parallel, loading extraction results into databases, or visualizing/annotating extracted content. Complements the document-extraction skill (which covers single ADE SDK operations); use when those operations need to be chained into workflows or when word-level grounding, bounding box visualization, or annotation is required.
> Orchestrate multi-simulation campaigns — generate parameter sweep configurations (grid, linspace, or Latin Hypercube sampling), initialize and track batch job campaigns, monitor job completion status, and aggregate results with summary statistics across all runs. Use when running a parameter study across dt, kappa, or other simulation inputs, managing dozens or hundreds of simulation configurations, combining outputs from completed batch runs to find the best result, or automating the generate-run-collect workflow for systematic studies, even if the user only says "I need to try many parameter combinations" or "how do I organize a sweep."
Use when you have an idea for a data story and want a publication-quality chart back. The agent finds an authoritative public dataset, drafts three chart-type variants in parallel, picks the strongest, then iterates against a design checklist and a chart-design evaluator until the chart actually carries the story.
Implements Syncfusion .NET MAUI Cartesian Chart (SfCartesianChart) for data visualization with 20+ chart types including line, area, column, bar, financial, statistical, and stacked charts. Use when implementing cartesian charts, line charts, area charts, or financial charts (candle, OHLC). Covers chart axes, legends, tooltips, trackball, zooming and panning, chart annotations, and trendlines.
Implements Syncfusion .NET MAUI Circular Charts (SfCircularChart) including pie, doughnut, and radial bar chart types. Use when implementing circular data visualization, pie charts, doughnut charts, or radial bar charts. Ideal for percentage breakdowns, category comparisons, part-to-whole relationships, or displaying proportional data in circular format.
Implements Syncfusion .NET MAUI DateTime Range Selector (SfDateTimeRangeSelector) for interactive date/time range selection with chart integration. Use when working with range selectors, date range pickers, time range selection, chart range filtering, or interactive range controls. Covers range selection UI, filtering chart data by date range, and selecting time periods.
Implements Syncfusion .NET MAUI DockLayout (SfDockLayout) for arranging and docking child elements in defined areas. Use this for creating docking layouts, positioning UI elements at edges (top/bottom/left/right), building dashboard layouts, or arranging multi-region interfaces. Covers dock positioning, edge positioning, and spacing between docked elements.
Implements and customize Syncfusion .NET MAUI Funnel Charts (SfFunnelChart). Use when implementing funnel charts, sales funnel visualization, conversion funnel analysis, process stage visualization, or marketing funnel tracking. Covers funnel chart implementation, customization, data labels, legends, tooltips, segment spacing, and orientation.
Implements Syncfusion .NET MAUI Linear Gauge (SfLinearGauge) for data visualization with scales, pointers, and ranges. Use when creating linear gauges, displaying measurements on linear scales, showing progress indicators, or building thermometer-style visualizations. Covers gauge pointer configuration, bar pointers or shape markers, draggable gauge pointers, and animated gauge transitions.
Implements Syncfusion .NET MAUI Linear ProgressBar (SfLinearProgressBar) control. Use when working with progress bars, progress indicators, loading indicators, determinate/indeterminate progress, or buffer progress visualization. Covers progress tracking, multi-segment progress, animated progress, and gradient progress bars.
Implements Syncfusion .NET MAUI Maps (SfMaps) control. Use when implementing maps, visualizing geographic data, or displaying shape layers and tile layers (OpenStreetMap, Azure maps, Google Maps, Bing Maps). Covers markers, bubbles, legends, data labels, tooltips, sublayers, zoom and pan features, or spatial data visualization in .NET MAUI applications.
Implements Syncfusion .NET MAUI Polar Charts (SfPolarChart) for visualizing data in polar coordinates. Use when working with polar charts, radar charts, spider charts, web charts, or circular data visualization. Ideal for displaying data in terms of values and angles, creating line or area series in polar layouts, or comparing multiple data series radially.
Implements Syncfusion .NET MAUI Pyramid Chart (SfPyramidChart) for visually representing hierarchical, proportional, and parts-to-whole data using pyramid-shaped segments. Use this for pyramid charts, hierarchical data visualization, proportional data display, or segment-based charts. This skill covers installation, data binding, legends, tooltips, data labels, appearance customization, and gradients.
Implements Syncfusion .NET MAUI Radial Gauge (SfRadialGauge) components. Use when working with radial gauges, circular gauges, speedometers, temperature monitors, meter gauges, or circular data visualization in .NET MAUI applications. This skill covers installation, axis configuration, ranges, pointer types (needle, shape, content, range), annotations, and animation.
Implements Syncfusion .NET MAUI StepProgressBar (SfStepProgressBar) control. Use when implementing step progress visualization, multi-step process tracking, or sequential progress indication. This skill covers step appearance customization, step states (completed/in-progress/not-started), orientation options, tooltips, and accessibility for order tracking, registration forms, or checkout processes.
Implements Syncfusion .NET MAUI Sunburst Chart (SfSunburstChart) for hierarchical data visualization using a radial, multi-level circular layout. Use this for sunburst charts, radial hierarchical charts, multi-level pie charts, or hierarchical data visualization with drill-down capabilities. Ideal for visualizing organizational structures, file systems, or nested categorical data.
Implements Syncfusion .NET MAUI TreeMap (SfTreeMap) for visualizing hierarchical data with rectangles sized and colored by values. Use when implementing hierarchical data visualization, heat maps, squarified layouts, multi-level data grouping, or brush settings for hierarchical displays. This skill covers installation, data binding, layout types, hierarchical levels with GroupPath, legend configuration, tooltips, and TreeMap customization.
Implements and customize Syncfusion .NET MAUI TreeView (SfTreeView) for displaying hierarchical data structures. Use when working with TreeView, hierarchical data display, tree structures, organizational charts, nested data, expand/collapse nodes, file explorer UI, folder structures, parent-child relationships, or multi-level data visualization in .NET MAUI applications.
| 将 SRT 字幕文件转换为结构化 JSON 数据。 触发场景： (1) 需要解析 SRT 字幕文件 (2) 需要将字幕转为 JSON/结构化格式 (3) 需要提取字幕时间码和文本 (4) 视频字幕数据处理和分析 (5) 生成字幕纯文本或统计信息
| 启动本地 IELTS Dashboard。React + Vite，浏览器查看备考数据可视化。 触发方式：/ielts-dashboard、「打开仪表盘」「看看进度」「dashboard」
| When a user uploads or references a data file (CSV, JSON, XLSX, TXT, LOG) or any file larger than 100KB, immediately estimate token cost using scripts/estimate_size.py. If >30k tokens, chunk the file and summarize each chunk. If smaller, run quick inspection. Return a safe preview and summary without asking the user what to do.
Use when classifying a slice closeout (auto-continue / human gate / park), routing a real decision to a human, or designing a human queue/dashboard surface. Treats humans as durable network participants with attention surfaces, queues, and decision records — escalation lands as a durable attention item, not a chat message. Approval is NOT required for every clean closeout; the default RSI conveyor continues unless an explicit human gate is reached.
Use when implementing app integrity verification, preventing fraud with DCAppAttestService, validating requests from legitimate app instances, using DeviceCheck for promotional abuse prevention, or needing server-side attestation/assertion validation. Covers key generation, attestation, assertion, rollout strategy, and risk metrics.
Reference for App Store Connect crash analysis, TestFlight feedback, metrics dashboards, and data export workflows
Use when profiling async/await performance, diagnosing actor contention, or investigating thread pool exhaustion. Covers Swift Concurrency Instruments template, task visualization, actor contention analysis, thread pool debugging.