Repository
liangdabiao/claude-data-analysis-ultra-main agent skills
- skills
- 19
- GitHub stars
- 290
GitHub description: “让小白都可以一键进行数据分析，搞互联网的，搞电商的，搞各种各样的，那么其实就会用到 互联网的数据分析， 例如互联网会关心 拉新，留存，促活，推荐，转化，A/B test, 用户分析 等等很多有用的数据分析。 ”
- Stars
- 290 (47 forks)
- Licence
- No licence
- Last push
- May 2026
- Created
- Dec 2025
- claude-code
Install all skills
npx skills add liangdabiao/claude-data-analysis-ultra-mainAdd --skill <name> for a single skill and -a <agent> to choose the agent (see the agent guides).
Skills in liangdabiao/claude-data-analysis-ultra-main, ranked
Ranked by score. Sort bymost stars,trending,newest,recently updated
| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. | liangdabiao/ | 290 | 1 repo | ~781 | Automated safety check: Notes | No licence | 5 mo ago |
| 2 | Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. | liangdabiao/ | 290 | — | ~1.3k | Automated safety check: Notes | No licence | 5 mo ago |
| 3 | Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. | liangdabiao/ | 290 | — | ~2.3k | Automated safety check: Notes | No licence | 5 mo ago |
| 4 | Generates production-ready analysis code in Python, R, SQL. An agent skill from liangdabiao/claude-data-analysis-ultra-main. | liangdabiao/ | 290 | — | ~513 | Automated safety check: Pass | No licence | 5 mo ago |
| 5 | Analyze text content using both traditional NLP and LLM-enhanced methods. | liangdabiao/ | 290 | — | ~1.7k | Automated safety check: Notes | No licence | 5 mo ago |
| 6 | Performs exploratory data analysis, statistical analysis, and pattern discovery. | liangdabiao/ | 290 | — | ~2.1k | Automated safety check: Pass | No licence | 5 mo ago |
| 7 | Generates testable research hypotheses and experimental designs. | liangdabiao/ | 290 | — | ~903 | Automated safety check: Pass | No licence | 5 mo ago |
| 8 | Data quality validation and analysis accuracy verification. An agent skill from liangdabiao/claude-data-analysis-ultra-main. | liangdabiao/ | 290 | — | ~728 | Automated safety check: Pass | No licence | 5 mo ago |
| 9 | 智能推荐系统分析工具，提供多种推荐算法实现、评估框架和可视化分析。使用时需要用户行为数据、商品信息或评分数据，支持协同过滤、矩阵分解等推荐算法，生成个性化推荐结果和评估报告。 | liangdabiao/ | 290 | — | ~1.1k | Automated safety check: Notes | No licence | 5 mo ago |
| 10 | Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. | liangdabiao/ | 290 | — | ~1.7k | Automated safety check: Notes | No licence | 5 mo ago |
| 11 | Generates comprehensive analysis reports, executive summaries, and technical documentation. | liangdabiao/ | 290 | — | ~805 | Automated safety check: Pass | No licence | 5 mo ago |
| 12 | Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. | liangdabiao/ | 290 | — | ~1k | Automated safety check: Notes | No licence | 5 mo ago |
| 13 | Creates data visualizations, charts, and interactive dashboards. | liangdabiao/ | 290 | — | ~1.1k | Automated safety check: Pass | No licence | 5 mo ago |
| 14 | 全面的AB测试分析工具，支持实验设计、统计检验、用户分群分析和可视化报告生成。用于分析产品改版、营销活动、功能优化等AB测试结果，提供统计显著性检验和深度洞察。 | liangdabiao/ | 290 | — | ~1.9k | Automated safety check: Notes | No licence | 5 mo ago |
| 15 | 自动化数据探索和可视化工具，提供从数据加载到专业报告生成的完整EDA解决方案。支持多种图表类型、智能数据诊断、建模评估和HTML报告生成。适用于医疗、金融、电商等领域的数据分析项目。 | liangdabiao/ | 290 | — | ~1.3k | Automated safety check: Notes | No licence | 5 mo ago |
| 16 | 增长模型分析技能 - 提供全面的增长黑客分析工具，包括裂变策略评估、用户细分、Uplift建模、ROI优化等。支持多种增长场景的机器学习建模和智能决策建议。适用于用户增长、营销优化、产品迭代等增长分析场景。 | liangdabiao/ | 290 | — | ~827 | Automated safety check: Notes | No licence | 5 mo ago |
| 17 | 基于RFM模型和回归算法的客户生命周期价值(LTV)预测分析工具，支持电商和零售业务的客户价值预测。使用时需要客户交易数据、订单历史或消费记录，自动进行RFM特征工程、回归建模和价值预测。 | liangdabiao/ | 290 | — | ~1.4k | Automated safety check: Notes | No licence | 5 mo ago |
| 18 | 通用的 6 阶段数据分析助手：数据质量→探索性分析→假设生成→可视化→代码生成→综合报告。提供完整的方法论和模板！. An agent skill from liangdabiao/claude-data-analysis-ultra-main. | liangdabiao/ | 290 | — | ~1.3k | Automated safety check: Pass | No licence | 5 mo ago |
| 19 | 互联网数据分析技能集合 - 包含AB测试、归因分析、内容分析、漏斗分析、增长模型、LTV预测等专业技能. An agent skill from liangdabiao/claude-data-analysis-ultra-main. | liangdabiao/ | 290 | — | ~691 | Automated safety check: Pass | No licence | 5 mo ago |
Questions, answered from the data.
What is the best skill in liangdabiao/claude-data-analysis-ultra-main?
Funnel Analysis from liangdabiao/claude-data-analysis-ultra-main ranks first of the 19 skills in liangdabiao/claude-data-analysis-ultra-main listed here, with the highest score: its repository has 290 GitHub stars, 1 other GitHub owner carry a copy, its SKILL.md loads about 781 tokens and it has informational notes only in the automated safety check. Next come Retention Analysis and Attribution Analysis Modeling.
Are the skills in liangdabiao/claude-data-analysis-ultra-main official?
None yet. All 19 skills in liangdabiao/claude-data-analysis-ultra-main listed here come from community repositories; a skill counts as official when the product's own GitHub organization publishes it.
How do I install all skills from liangdabiao/claude-data-analysis-ultra-main?
Run npx skills add liangdabiao/claude-data-analysis-ultra-main in your project: the open-source skills CLI installs the repository's skills into your coding agent's skills folder. To install a single skill, open its page here for the exact command.
How are these skills ranked?
By Skill Navigator score, which combines the GitHub stars of the skill's repository (shared across that repo's skills and discounted for large collections), how many other GitHub owners carry a copy of the skill, and automated SKILL.md quality checks, minus penalties for safety-check warnings and for each further skill from the same repository. Skills that fail the safety check are not listed.