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 355 copies of these same skills sitting in other people's repositories — counted once here, not 355 times.
2 409 unique 443 authors 1 338 updated this month 241 from vendors
Log management - search, archives, metrics, and cost control.
> Generate a BYOD ownership preferences reference table for a customer. Walks through preference types, generates CSV, and provides upload instructions (UI, API, cloud storage, or Terraform). Use when asked about BYOD setup, preferences reference table, k9_ownership_preferences, or ownership customization.
> Systematic dataset profiling protocol for empirical research. Use this skill when the user has a new dataset and wants to understand it before analysis — including unit of observation, variable definitions, panel structure, data quality, and descriptive statistics. Trigger on phrases like "explore this data", "profile this dataset", "what's in this data", "understand this dataset", "describe this data", "what are the variables", "check the panel structure", or any request to examine a dataset before running regressions.
Create marketing visualizations from data. Use when: creating charts for reports; visualizing campaign performance; generating dashboards; presenting data insights; exporting charts for presentations
Generate PDF/HTML reports from templates and data. Use when: creating client reports; generating weekly summaries; producing marketing performance reports; automating recurring reports
Build a phased reputation recovery plan after a crisis — from damage assessment through stakeholder communication, trust-rebuilding actions, and sentiment tracking. Use when: rebuilding brand reputation post-crisis, designing a public apology and accountability strategy, creating stakeholder-specific recovery communications, tracking sentiment recovery metrics, planning a PR damage-control roadmap, or recovering from a data breach, product recall, or public backlash.
Automate QBR preparation with account summaries, success metrics, challenges, and strategic recommendations
Design and execute customer onboarding playbooks with milestones, success metrics, and automated touchpoints
Measure and optimize growth using the AARRR (Pirate Metrics) framework with stage-specific KPIs and funnel analysis
Construisez un système de distribution complet (posting, DM delivery, retargeting, tracking) qui transforme vos hooks en pipeline prévisible, basé sur la méthodologie A4 du Marketing Swarm de Lasse Flagstad. Use when: **Lancer une machine de contenu LinkedIn/X** - Cadence, review flow, posting engine; **Automatiser les DMs après engagement** - Trigger → message → tag → booking; **Installer le retargeting** - Email + Meta/IG pour ne jamais perdre un lead; **Créer un dashboard simple** - Les 6 ...
Find and analyze influencers for campaigns. Use when: researching potential influencer partners; analyzing influencer metrics; building influencer lists; evaluating engagement rates; planning influencer outreach
Analyze social media profiles and engagement. Use when: auditing competitor social presence; calculating engagement rates; identifying top-performing content; tracking profile growth; benchmarking social metrics
Know the metrics that matter at each stage and what investors actually look for. Master the A16Z and YC frameworks for measuring startup progress. Use when: **Fundraising prep** to know which metrics to highlight; **Board meetings** to report on the right KPIs; **Strategic planning** to set goals that matter; **Product decisions** to understand what to optimize; **Diagnosing problems** to find what's broken
Use this skill when you need to write clear, reproducible bug reports with steps, environment details, and evidence; triggers include bug reporting and defect reporting.
Use this skill when you need to generate test reports with summary, metrics, defect analysis, and risk assessment; triggers include test reporting and QA status report.
Use this skill when you need to write clear, reproducible bug reports with steps, environment details, and evidence; triggers include 缺陷上报 and bug reporting.
Use this skill when you need to generate test reports with summary, metrics, defect analysis, and risk assessment; triggers include 测试报告 and test reporting.
Generate professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output.
Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports.
Analyze datasets to extract insights through statistical methods, trend identification, hypothesis testing, and correlation analysis.
Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly.
Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling.
Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
Analyze contracts for risks, obligations, key clauses, and generate structured risk reports with severity ratings.
Generate comprehensive marketing analytics reports by collecting KPIs, analyzing trends, and delivering actionable insights with attribution modeling and funnel analysis.
Profile programs at the function/method level to identify performance hotspots, bottlenecks, and optimization opportunities. Records execution time, memory usage, and call frequency for each interval. Generates actionable recommendations and visualizations. Use when users need to (1) analyze program performance, (2) identify slow functions or bottlenecks, (3) optimize execution time or memory usage, (4) profile Python, Java, or C/C++ programs with test cases or workload scenarios, or (5) generate performance reports with flame graphs and recommendations.
Creates visual representations of system structure including architecture diagrams, data flow diagrams, deployment diagrams, and sequence diagrams. Use when Claude needs to visualize system components, infrastructure, data flows, or interactions. Supports Mermaid (recommended for Markdown/GitHub), PlantUML (for detailed UML), and Graphviz/DOT (for complex networks). Trigger when users request diagrams, visualizations, or ask to "show", "diagram", "visualize", or "map out" system architecture, infrastructure, data flows, or component interactions.
> Builds traceability matrices connecting requirements to design documents to source code implementation, tracking the complete development lifecycle. Use when you need to verify implementation completeness, ensure all requirements are implemented in code, generate compliance documentation, audit requirement coverage, identify orphaned code, or create traceability reports for stakeholders. Supports parsing requirements from Markdown, Word, and PDFs; extracting design from architecture docs and API specs; and scanning source code for implementations. Outputs to Markdown tables, Excel/CSV, and HTML visualizations.
Analyze formal verification artifacts (Isabelle, Coq, Dafny, etc.) and produce structured reports identifying the precise boundary between verified, assumed, and unverified components. Use when assessing verification coverage, understanding trust boundaries, auditing formal proofs, or documenting verification scope. Reports explicitly list verified code, assumptions, axioms, trusted computing base, and unverified components. Conservative and explicit about verification status without attempting to repair or mask gaps.
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: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
| 分析 Amazon Ads SP / SB / SD 搜索词报告。确定性脚本负责清洗、时间窗聚合、词根聚类和决策计算，AI 助手或人工负责词根级语义分类；通过词根继承减少长尾词的待判定比例，输出 Markdown、CSV、HTML 和 JSON 六类结果。 使用时机：判断搜索词是否应该否定、控成本、继续测试或放量，分析 7/14/30 天 CVR 与 ACOS 变化，或者提炼可反馈给 Listing 的属性词和场景词。 触发词：/zach-search-term-report-analyzer
Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.
Read-only 3-metric governance glance — override rate, small-lane rate, sprint low-confidence ratio — each with a trend arrow vs. the prior 20-commit window.
Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. Use when creating charts, plots, graphs, diagrams, heatmaps, visualizations from data, or when choosing between matplotlib/seaborn/graphviz. Also triggers for network diagrams, flowcharts, dependency trees, state machines, and entity-relationship diagrams. For interactive browser-rendered charts or uploaded data exploration, defer to charting-vega-lite instead.
Create interactive data visualizations using Vega-Lite declarative JSON grammar. Supports 20+ chart types (bar, line, scatter, histogram, boxplot, grouped/stacked variations, etc.) via templates and programmatic builders. Use when users upload data for charting, request specific chart types, or mention visualizations. Produces portable JSON specs with inline data islands that work in Claude artifacts and can be adapted for production.
Specialized Preact development skill for standards-based web applications with native-first architecture and minimal dependency footprint. Use when building Preact projects, particularly those involving data visualization, interactive applications, single-page apps with HTM syntax, Web Components integration, CSV/JSON data parsing, WebGL shader visualizations, or zero-build solutions with vendored ESM imports.
Exploratory data analysis. Use when users upload .csv/.xlsx/.json/.parquet files or request "explore data", "analyze dataset", "EDA", "profile data". Small files get ydata-profiling HTML/JSON reports; large files (>200MB or >5M rows) get fixed-memory DuckDB/sketch profiling. Also covers near-duplicate row detection, cross-file key overlap ("can these join?"), dataset drift vs a stored baseline, and time-series profiling.
Generate guardrailed UI from natural language. Emits constrained JSON that a Preact runtime renders. Use when the request is for a dashboard with metrics, charts, or tables; an admin panel; a data visualization interface; or a form-based application.
Run APIView platform metrics (versioned revisions and cross-language compliance). Use for: apiview metrics, platform metrics, version coverage, versioned revisions, cross-language compliance, compliance metrics, PackageVersion coverage, CrossLanguagePackageId, apiview-metrics, parser compliance.
Retrieve human architect review comments from APIView for a date range. Use for: architect comments, human comments, reviewer comments, board comments, architect comments for March, what did architects say, human review comments.
Retrieve negative feedback on AI-generated APIView comments. Use for: feedback report, comment feedback, show feedback, feedback for March, what feedback, downvotes, deleted comments, bad comments.
List APIView revisions created or actually opened/viewed in a date range, broken out by language and type. Use for: created revisions, opened revisions, viewed revisions, revision counts, how many revisions, revisions for March, revision breakdown, revision types, automatic vs manual revisions, PR revisions, pull request revisions, page views, actually viewed, who opened reviews, opened revision breakdown.
Retrieve knowledge base memories created in a date range. Use for: memory report, show memories, new memories, memories for March, what memories were created, knowledge base additions, KB entries.
Run metrics reports for APIView Copilot. Use for: run metrics, metrics report, generate metrics, monthly metrics, metrics for March, metrics for January, adoption metrics, comment quality, quality trends, save metrics, metrics charts.
Self-contained SaaS automation — invoke directly, do not decompose. Transforms a Vibes app into a multi-tenant SaaS with subdomain-based tenancy. Adds Pocket ID authentication, subscription gating, and generates a unified app with landing page, tenant routing, and admin dashboard. Use when the user wants to monetize an app, add auth and billing, create a SaaS product, add subscriptions, or turn an app into a business.
ACTIVATE when building executive dashboards, tracking business metrics, creating executive scorecards, monitoring organizational KPIs, setting up health metrics, building dashboards for real-time monitoring, or establishing systems to track and measure business performance. Critical for any executive who needs to monitor company health, make data-driven decisions, or track progress toward strategic goals.
| Build institutional-grade comparable company analyses with operating metrics, valuation multiples, and statistical benchmarking in Excel/spreadsheet format.
TRIGGER THIS when building DEI strategy, creating diversity goals, designing inclusive programs, building equity analyses, developing training, addressing inclusion issues, or tracking DEI metrics. Develops comprehensive diversity, equity, and inclusion strategies aligned to business goals with measurable outcomes, training programs, metrics frameworks, and accountability systems.