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
Define a product problem: problem statement, JTBD, alternatives, evidence, metrics. See also: writing-prds (solution spec).
Define or refresh a product North Star metric + driver tree.
> 🤖 Data Science & AI/ML skill suite derived from borghei/Claude-Skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
> 🤖 Data Science & AI/ML skill suite derived from travisvn/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
> 🛒 E-commerce & Retail skill suite derived from ComposioHQ/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
Generates periodic executive briefings (weekly/monthly/quarterly) by aggregating health status, critical alerts, key decisions, and upcoming milestones from all C-Suite domain dashboards into a single narrative update.
Defines metrics, events, dashboards, alerts, and SLOs to monitor production systems. Use after Gate 2 or with release-manager to ensure production observability.
>- Build and visualize QA dashboards and reports with Allure Report, Grafana, and ReportPortal. Covers test execution visualization, stakeholder-facing quality reports, trend/flakiness panels, release-readiness gates, alerting, and CI integration for automated report generation. "Grafana," "ReportPortal," "test results visualization." (this skill builds the panels; qa-metrics decides what they should show).
>- Analyze escaped defects and test suite health through blameless postmortems. Covers bug pattern analysis, test suite health reviews, 5 Whys root cause analysis, process improvement cycles, and postmortem/retro meeting templates with action item tracking. "improvement cycle." dashboards — use qa-metrics. Not for reviewing existing test code quality — use ai-qa-review.
>- Author and maintain MANUAL and hybrid test cases and suites in TestRail, Xray (Jira), Zephyr Scale, and Qase. Covers test-case anatomy (title, preconditions, steps, expected results, test data), suite/section organization, bulk authoring from user stories and acceptance criteria, ambiguous-step linting, CSV/API import-export payloads per tool, requirement traceability and coverage gaps, review hygiene, and when a manual case should graduate to automation. Scale case," "Qase case," "import CSV into TestRail," "lint these steps," "traceability report," "should this be automated." WHAT-to-test selection — that is test-planning.
> 🛒 E-commerce & Retail skill suite derived from alirezarezvani/claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
> 🤖 Data Science & AI/ML skill suite derived from ComposioHQ/awesome-claude-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
| Validates practitioner credentials and license status against the NPI registry. Cross-references specialties, credentials, and practice addresses against official records. Returns Verified / Partially Verified / Unverified / Flagged per practitioner with mismatch details and source URLs. licenses", "verify NPI numbers", "cross-check credentials against NPI", "compliance audit on providers", "are these practitioners still licensed", "validate my provider list". Accepts CSV, Google Sheet URL, or pasted data. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for filling data gaps — use healthcare-providers-enrich instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| web-data agents, scrapes into Delta tables, and produces an AI/BI dashboard and/or a deployed Databricks App — a table → dashboard → app workflow, for production data products or quick demos. Use whenever a request pairs live or scraped web data WITH a Databricks destination — e.g. "scrape Amazon/Walmart prices into a Delta table and build a dashboard", "load Zillow/Instagram/Maps/search results into Databricks and build a dashboard or app", "showcase Nimble + Databricks to a prospect". Prefer it over nimble-web-expert or competitor-intel when the data lands in Databricks. Do NOT use for one-off web fetches or CSV exports with no Databricks destination — use nimble-web-expert instead. Do NOT use for competitor or company research briefings — use competitor-intel or company-deep-dive instead. Do NOT use for generic Databricks work with no Nimble/web-data angle — use the official databricks-* skills instead.
| Fills gaps in existing healthcare practitioner lists — adds missing phone numbers, credentials, specialties, contact info, education, reviews, and regulatory data. to these doctors", "complete this practitioner database", "enrich CRM export", "fill gaps in my provider data", "supplement this healthcare list". Accepts CSV, Google Sheet URL, or pasted data. Searches for each provider's practice website, extracts missing fields, and enriches with reviews, clinical trials, and accreditation via WSAs. Do NOT use for extracting providers from practice URLs — use healthcare-providers-extract instead. Do NOT use for validating credentials — use healthcare-providers-verify instead. Do NOT use for discovering practices — use market-finder or local-places instead. Do NOT use for general extraction — use nimble-web-expert instead.
| Discovers all businesses of a given type in any geography using Nimble a user's existing list (Google Sheet, CSV, inline) against fresh discovery, categorizing entries as matched, discovered-only, or reference-only. Vertical presets (Healthcare, SaaS, Restaurants, Legal, Auto/Home) auto-select WSA routing. "account universe", "how many X in Y", "TAM for", "discover all", "audit my list", "compare against", "what am I missing", "gap analysis", "verify my business list", "prospect list". Do NOT use for competitor monitoring — use competitor-intel instead. Do NOT use for company deep dives — use company-deep-dive instead. Do NOT use for neighborhood-level exploration with social enrichment — use local-places instead.
| Monitors press, social, developer communities, and competitor channels from any point around a product launch — tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and recommending actions in real time. Nimble reaches sources that block standard agents — including paywalled press, Reddit, LinkedIn, JavaScript-heavy pages, and live community forums — while Claude triages every signal by urgency. Delivers a Response War Room dashboard with a live signal feed, mischaracterization tracker, competitor response panel, and sentiment velocity chart. Use when asked to "monitor this launch", "track the launch", "what's being said about the launch", "flag any mischaracterizations", "competitor response to the launch", "post-launch coverage", "check press coverage for the launch", or "what's the reaction to the announcement". Do NOT use for ongoing brand monitoring unrelated to a launch — use brand-mention-monitor instead. Do NOT use for ongoing competitor intelligence unrelated to a specific launch window — use competitor-intel instead.
> Compares the seller's own Mercado Livre listing against the available competing listings of the same catalog product — the buy-box competition — and says where they win, lose, and what to fix first. Use it when a seller asks why they don't win the buy-box, why they don't sell despite the same product, or how they rank inside a catalog, given a Mercado Livre or JoomPulse link or a listing or catalog product identifier. It scores each parameter — price, free shipping, Full, listing type, seller reputation, official store — as Melhor, Na média, Pior, or Criticamente pior, presents reviews and rating as context, and returns a verdict, a comparison table, prioritized actions, and a spreadsheet. Triggers include "why don't I win the buy-box" and the pt-BR "por que não ganho o buy-box". Mercado Livre (Brasil) only; sales and revenue are JoomPulse estimates, not real transactions. For a product and its competitors, use the single-product analysis skill; for one over time, the change-monitor skill.
Use this agent when you need to analyze code for performance issues, optimize algorithms, identify bottlenecks, or ensure scalability. This includes reviewing database queries, memory usage, caching strategies, and overall system performance. The agent should be invoked after implementing features or when performance concerns arise.\\n\\n<example>\\nContext: The user has just implemented a new feature that processes user data.\\nuser: \"I've implemented the user analytics feature. Can you check if it will scale?\"\\nassistant: \"I'll use the performance-oracle agent to analyze the scalability and performance characteristics of your implementation.\"\\n<commentary>\\nSince the user is concerned about scalability, use the Task tool to launch the performance-oracle agent to analyze the code for performance issues.\\n</commentary>\\n</example>\\n\\n<example>\\nContext: The user is experiencing slow API responses.\\nuser: \"The API endpoint for fetching reports is taking over 2 seconds to respond\"\\nassistant: \"Let me invoke the...
Report a bug in the compound-engineering plugin
> 🛒 E-commerce & Retail skill suite derived from travisvn/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
> 🛒 E-commerce & Retail skill suite derived from BehiSecc/awesome-claude-skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
Use this skill when a human needs to review a Deepline Play result and hand feedback, labels, or approval back to the agent for revision, evaluation, comparison, or bounded iteration. Triggers on “put this run in a Sheet,” “review these results,” “read my feedback,” “make this a standing rule,” “never regress on this case,” “compare these runs,” “keep improving,” or “add the revised run to the same spreadsheet.” Skip ordinary Play authoring or execution with no human review loop, generic spreadsheet work, and one-off CSV export.
Use this skill when answering business analytics, RevOps, GTM metric, pipeline, revenue, funnel, customer, or warehouse questions with Deepline. Triggers on phrases like 'query Snowflake', 'analyze pipeline', 'total ACV', 'break down by quarter', 'use the semantic layer', 'run a semantic query', or any use of snowflake_get_semantic_layer / snowflake_run_semantic_query. Skip prospecting, enrichment, contact finding, outbound, or personalization workflows; use deepline-gtm for those.
Use this skill for any GTM Engineering work in Deepline — prospecting, list-building, account research, contact enrichment, email/phone/LinkedIn lookup, ICP qualification, lead scoring, outreach copy, CSV-driven row work, and verifying enriched data. Triggers on phrases like 'enrich this CSV', 'find contacts at these companies', 'build a TAM list', 'waterfall emails for these leads', 'detect job changes', 'is this data accurate', 'write a sequence for', and on any request that mentions Deepline, plays, or named GTM providers (Crustdata, Hunter, Dropleads, etc.). Use this even when the user does not explicitly say 'GTM' — most CSV-with-leads tasks and most provider-driven enrichment tasks are GTM tasks. SKIP only when the request is a Clay table extraction (use clay-to-deepline) or has no Deepline / outbound / data-enrichment dimension at all.
When the user wants a rigorous iteration loop for an artifact, prompt, briefing, content structure, or Agentic SEO skill. Also use for Karpathy-style experiment runs that need baseline scoring, explicit metrics, stop rules, and keep/reject decisions.
Shared report-page contract for Agentic SEO modules that render editable, human-first Markdown reports in the Web Companion.
Comprehensive design elevation system that automatically transforms functional visual outputs into polished, professional designs. Use when creating ANY visual output including presentations (pptx), spreadsheets (xlsx), dashboards, reports, HTML artifacts, PDFs, web pages, or data visualizations. Applies systematic design thinking grounded in Tailwind CSS as the canonical design token system. Structures decisions through functional patterns (what users interact with) and perceptual patterns (how the design feels), following Alla Kholmatova's design systems framework. Triggers on ALL requests for visual content creation, ensuring outputs look hand-crafted rather than template-based.
Connect design decisions to business outcomes through competitive analysis, opportunity mapping, Jobs to Be Done, outcome-driven discovery, value proposition design, and UX metrics. Shape product direction with strategic frameworks grounded in evidence.
Jinja2 templates + CSS + data contract for TweakIdea evaluation reports
Use when user requests diagrams, flowcharts, sequence diagrams, class diagrams, component diagrams, ER diagrams, architecture charts, or visualizations — including generating a diagram from existing source code, or rendering/extracting PlantUML embedded in a Markdown file to images (e.g. preparing docs for Confluence/Notion). Also use proactively when explaining systems with 3+ components, APIs, data flows, or class hierarchies. Generates .puml files and exports to PNG/SVG via Kroki API (no local install required).
Create reports in Frappe including Report Builder, Query Reports (SQL), and Script Reports (Python + JS). Use when building data analysis views, dashboards, or custom reporting features.
Phase-1 (S4) of a comic movie — PRODUCE the canonical reusable references the whole spiral conditions on. Per asset it bakes ONE canonical 1:1 white-bg identity ref via the agent mcp__codex__codex sidecar bake (Codex native image_gen — conditioned, never hand-pasted) OR, for a deterministic motif (clock/chart/stamp/star-map), emits a single-source parametric SVG from a python generator (asset_lib.py). Hashes + base64-encodes the bake into the asset node's output_ref (all 6 fields or it's a schema violation), versions every ref _v{NNN} with a supersedes self-edge, and runs a single-source collision gate. GENERATES ONLY — it NEVER self-locks/approves (that is the cross-model asset-review-loop's job, a different model family). Identity is BRING-YOUR-OWN; the ARIS chibi duo is only the worked example.
> Detects statistical errors, logical fallacies, and methodological issues in research content. Checks for p-hacking, correlation/causation confusion, underpowered samples, multiple comparisons problems, overgeneralization, and other common fallacies. Use when the user asks to validate statistics, audit quantitative claims, check methodology, or find logical errors. Returns minimal output on purely theoretical content — most useful after empirical data is present.
> Generates complete, runnable visualization code for research figures. Produces matplotlib/seaborn Python scripts for quantitative data and Mermaid diagrams for conceptual relationships, workflows, and taxonomies. Use when the user asks for charts, graphs, visualizations, figures, or diagrams. Produces code only — does not render images directly.
>- Analyze datasets and generate statistical summaries and insights. Use when asked to analyze data, compute statistics, or identify trends.
Amazon 品牌分析助手适合运营、产品、销售、software在用户提出“品牌数据说明什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成商品/店铺诊断、卖点与风险提示、运营动作建议。
资料整理助手适合运营、产品、销售、software在用户提出“这份材料重点是什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成合并方案、字段冲突清单、处理结果说明。
教育数据分析助手适合市场营销、运营、software、教育培训在用户提出“教学数据说明什么”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成教学或招聘诊断、改进建议、评分/活动清单。
KPI 看板设计助手适合technical、产品、市场营销、software在用户提出“看板讲清 KPI 吗”这类问题，需要快速拆解目标、判断重点并形成可执行结果时使用，帮助基于输入材料生成销售策略、沟通素材、跟进计划。
B站短视频运营增长助手适合内容创作者、运营、品牌方、电商在用户提供了 B 站视频链接时使用，帮助基于输入材料生成评论情绪和讨论结构、观众画像和兴趣信号、内容与互动建议。
抖音短视频运营增长助手适合内容创作者、运营、品牌方、电商在用户提供了抖音内容链接时使用，帮助基于输入材料生成情绪和舆情判断、用户画像和意图信号、运营建议和回复建议。
抖音流量分配大盘适合内容创作者、运营、电商、营销在用户想知道抖音流量正在流向哪些方向时使用，帮助基于输入材料生成流量分布、分类层级结构、可用于内容布局的平台方向信号。
快手短视频运营增长助手适合内容创作者、运营、品牌方、电商在用户提供了快手内容链接时使用，帮助基于输入材料生成情绪、画像和讨论焦点、舆情与转化线索、优化建议。
软件成本评估看板适合管理、技术、软件、通用在用户想估算软件项目开发成本时使用，帮助基于输入材料生成外部 Web 应用入口、`https://soft.ai-skills.ai` 内的软件成本评估流程。
小红书短视频运营增长助手适合内容创作者、运营、品牌方、电商在用户提供了小红书笔记链接时使用，帮助基于输入材料生成情绪和舆情视图、用户画像和意图分析、优化与转化建议。
Set up and run the oversight structure for a consulting engagement: governance tiering, RACI and decision rights, steering committee cadence, stage gates, RAG status reporting, risk and issue registers, and closure handback. Use when standing up engagement governance, defining who decides what, right-sizing a PMO, building a risk register, writing a steering committee status report, or scoring and tracking project health. Covers the management lifecycle from charter sign-off through closure. For the delivery plan itself (workstreams, phasing, business case), see implementation-planning.
Create pump performance curves, velocity contours, and engineering plots