2 399 data analysis skills from 443 authors. They crunch numbers, pivot tables and turn both into something readable. Half of them fit into 1 951 tokens or less — that is what one costs your context window when the agent loads it. 545 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.
2 399 unique 443 authors 1 328 updated this month 230 from vendors
> 🛒 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
Measure GTM with the metrics that matter (net developer retention, DREAM funnel) instead of vanity numbers. Use when the founder has dashboards full of stars and pageviews but can't tell if go-to-market is working, or is optimizing acquisition over a leaky bucket.
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.
> Import PayPal CSV exports with fee, refund, and currency handling.
> Import Square sales CSV exports with tips, refunds, and fee handling.
> Import Wise (TransferWise) CSV exports with multi-currency handling.
> Build custom financial reports with user-defined date ranges and categories.
> Import transactions from CSV, OFX, or QIF bank exports and deduplicate.
> Generate a monthly financial summary with metrics, trends, and anomalies.
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。
Deploy and manage the ELK Stack (Elasticsearch, Logstash, Kibana) for log aggregation and analysis. Configure log pipelines, create visualizations, and implement log-based monitoring. Use when centralizing logs, implementing search functionality, or building log analytics platforms.
Configure Grafana Loki for log aggregation and analysis. Set up Promtail for log collection, write LogQL queries, and integrate with Grafana for visualization. Use when implementing lightweight log aggregation, especially in Kubernetes environments.
Set up metrics collection and visualization with Prometheus and Grafana. Configure scrape targets, create PromQL queries, build dashboards, and implement alerting. Use when implementing monitoring, metrics collection, or visualization for applications and infrastructure.
Design and operationalize SRE dashboards that surface reliability, latency, error, saturation, and capacity signals across services. Use when building observability views for SLOs, incident response, and executive reliability reporting.
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
Create 3D visualizations of velocity fields and pump CFD results
> 🤖 Data Science & AI/ML skill suite derived from GetBindu/awesome-claude-code-and-skills. Data pipelines, model training, evaluation, MLOps and analytical reporting. Provides 10 specialised commands for data-science, machine-learning, analytics workflows.
当用户请求数据分析、报告、统计、趋势或绩效指标时使用此技能——包括销售数据、退货率、供应商绩效和运营 KPI。
Generate a daily analytics report of what GitHub Copilot helped accomplish. Shows tasks completed, human effort equivalent, token usage, and a narrative story. Sends a formatted email summary. Use when the user asks about their daily activity, what Copilot helped with today, or wants a digest of the day's work.
Score your Claude Code environment on a fun 0-10 ladder (Tourist → Swarm) calibrated to the quickstart's 4 systems — Context, Skills, Integrations, Orchestration. Two front doors - an interactive quiz (zero setup, shareable) or a silent scan of your repo. Outputs a next-level roadmap plus a branded HTML dashboard or a paste-anywhere ASCII card. The default mastery skill of this quickstart. Triggers - "level", "what's my claude code level", "claude code level quiz", "assess my setup", "how good is my setup", "claude code maturity
Create professional malware analysis reports for enterprise security teams and incident response. Use when you need to write, structure, or improve a malware analysis report, produce executive summaries, author YARA rules, or format IOCs and detection rules for professional delivery.
> 🛒 E-commerce & Retail skill suite derived from borghei/Claude-Skills. Product catalogue optimisation, conversion rate, customer journey and retail analytics. Provides 10 specialised commands for ecommerce, retail, shopify workflows.
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow). Use when building data pipelines, implementing incremental models, migrating from pandas to polars, or orchestrating multi-step transformations with testing and quality checks.
Generate data visualizations, plots, and charts. Analyzes data structure to select optimal visualization types. supports bar charts, line graphs, and scatter plots for clarity.
Python best practices, FastAPI, Pandas ve veri bilimi kütüphaneleri kullanımı.