Topic: claude-code
35,830 skills in this topic.
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attribution-analysis-modeling
Perform multi-touch attribution analysis using Markov chains, Shapley values, and custom attribution models. Use when you need to analyze marketing channel effectiveness, calculate conversion attribution, optimize marketing budgets, or understand customer journey paths. Supports channel transition analysis, ROI calculation, and marketing optimization insights with Chinese language support.
liangdabiao/claude-data-analysis-ultra-main 173
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content-analysis
Analyze text content using both traditional NLP and LLM-enhanced methods. Extract sentiment, topics, keywords, and insights from various content types including social media posts, articles, reviews, and video content. Use when working with text analysis, sentiment detection, topic modeling, or content optimization.
liangdabiao/claude-data-analysis-ultra-main 173
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data-exploration-visualization
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/claude-data-analysis-ultra-main 173
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funnel-analysis
Analyze user conversion funnels, calculate step-by-step conversion rates, create interactive visualizations, and identify optimization opportunities. Use when working with multi-step user journey data, conversion analysis, or when user mentions funnels, conversion rates, or user flow analysis.
liangdabiao/claude-data-analysis-ultra-main 173
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growth-model-analyzer
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/claude-data-analysis-ultra-main 173
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ltv-predictor
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/claude-data-analysis-ultra-main 173
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recommender-system
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/claude-data-analysis-ultra-main 173
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regression-analysis-modeling
Perform comprehensive regression analysis and predictive modeling using linear regression, decision trees, and random forests. Use when you need to predict continuous values like housing prices, sales forecasts, demand predictions, or any numerical target variables. Includes automated feature engineering, model comparison, and visualization with Chinese language support.
liangdabiao/claude-data-analysis-ultra-main 173
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retention-analysis
Analyze user retention and churn using survival analysis, cohort analysis, and machine learning. Calculate retention rates, build survival curves, predict churn risk, and generate retention optimization strategies. Use when working with user subscription data, membership information, or when user mentions retention, churn, survival analysis, or customer lifetime value.
liangdabiao/claude-data-analysis-ultra-main 173
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rfm-customer-segmentation
Perform RFM (Recency, Frequency, Monetary) customer segmentation analysis on e-commerce data. Use when you need to analyze customer value, identify VIP customers, or create marketing segments. Automatically cleans data, calculates RFM metrics, applies K-means clustering, and generates visualization reports with Chinese language support.
liangdabiao/claude-data-analysis-ultra-main 173
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brainstorming
Interactive exploration of ideas through Socratic Q&A. Produces progressive documents that serve as lightweight pre-PRDs feeding into research.
desplega-ai/ai-toolbox 20
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implementing
Plan implementation skill. Executes approved technical plans phase by phase with verification checkpoints.
desplega-ai/ai-toolbox 20
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learning
Compounding knowledge across projects and teams. Captures, searches, and promotes institutional learnings via tiered backends (local/qmd/agent-fs).
desplega-ai/ai-toolbox 20
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phase-running
Execute individual plan phases as background sub-agents for context-efficient implementation.
desplega-ai/ai-toolbox 20
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planning
Implementation planning skill. Creates detailed technical plans through interactive research and iteration.
desplega-ai/ai-toolbox 20
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qa
Functional validation skill. Captures test evidence (screenshots, recordings, links) and produces QA reports in thoughts/*/qa/.
desplega-ai/ai-toolbox 20
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questioning
One-shot question answering using the research process. Answers inline without generating documents, then offers handoff to brainstorm or research.
desplega-ai/ai-toolbox 20
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researching
Comprehensive codebase research skill. Documents codebase as-is by spawning parallel sub-agents and synthesizing findings into research documents.
desplega-ai/ai-toolbox 20
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reviewing
Structured critique of research, plan, and brainstorm documents for completeness, gaps, and quality.
desplega-ai/ai-toolbox 20
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tdd-planning
TDD-focused implementation planning. Creates plans with strict Red-Green-Commit/Rollback cycles for each step.
desplega-ai/ai-toolbox 20
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verifying
Post-implementation plan verification. Cross-references plans against actual changes for completeness and accuracy.
desplega-ai/ai-toolbox 20
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brain-expert
Personal knowledge management expert for the brain CLI. Use when users want to capture notes, search their knowledge base, or manage their second brain.
desplega-ai/ai-toolbox 20
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file-review
File review tool — launch GUI, process comments, or install. Use when user mentions file-review, reviewing files, leaving comments, or processing review comments.
desplega-ai/ai-toolbox 20
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file-review-install
Install the file-review tool. Use when user needs to install file-review on a new machine or asks how to set it up.
desplega-ai/ai-toolbox 20