Claude Skills by liangdabiao

github.com/liangdabiao

33 skillsA× 333 installs135 views

Stock Question RefinerA股票投资调研问题细化技能。将用户提供的股票名称/代码细化为结构化的8阶段投资尽调指令。通过提问澄清投资风格（价值/成长/困境反转）、持有周期（短/中/长线）、风险偏好、研究重点，生成符合专业投资研究标准的结构化调研任务。当用户提到股票分析、投资研究、股票尽调时使用此技能。researchgoapiVotes: 0GitHub stars: 369
Stock Research ExecutorA股票投资调研执行引擎，执行8阶段投资尽调流程。接收stock-question-refiner生成的结构化调研指令，部署多智能体并行研究，生成带引用的投资尽调报告。覆盖：公司事实底座、行业周期、业务拆解、财务质量、股权治理、市场分歧、估值护城河、综合报告。当用户需要进行股票投资研究、基本面分析、投资尽调时使用此技能。businessgonodeVotes: 0GitHub stars: 369
Citation ValidatorA验证研究报告中所有声明的引用准确性、来源质量和格式规范性。确保每个事实性声明都有可验证的来源，并提供来源质量评级。当最终确定研究报告、审查他人研究、发布或分享研究之前使用此技能。researchgoperformanceVotes: 0GitHub stars: 369
Got ControllerAGraph of Thoughts (GoT) Controller - 管理研究图状态，执行图操作（Generate, Aggregate, Refine, Score），优化研究路径质量。当研究主题复杂或多方面、需要策略性探索（深度 vs 广度）、高质量研究时使用此技能。ai-agentsgonodeVotes: 0GitHub stars: 369
Question RefinerA将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词，完全替代 ChatGPT 的问题细化功能。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。ai-agentsgoVotes: 0GitHub stars: 369
Research ExecutorA执行完整的 7 阶段深度研究流程。接收结构化研究任务，自动部署多个并行研究智能体，生成带完整引用的综合研究报告。当用户有结构化的研究提示词时使用此技能。researchgoVotes: 0GitHub stars: 369
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SynthesizerA将多个研究智能体的发现综合成连贯、结构化的研究报告。解决矛盾、提取共识、创建统一叙述。当多个研究智能体完成研究、需要将发现组合成统一报告、发现之间存在矛盾时使用此技能。researchgoVotes: 0GitHub stars: 369
Question RefinerA将原始研究问题细化为结构化的深度研究任务。通过提问澄清需求，生成符合 OpenAI/Google Deep Research 标准的结构化提示词。当用户提出研究问题、需要帮助定义研究范围、或想要生成结构化研究提示词时使用此技能。researchgoVotes: 0GitHub stars: 283
Ab Testing AnalyzerA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。datapythongoVotes: 0GitHub stars: 281
Attribution Analysis ModelingAPerform 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.datapythongoVotes: 0GitHub stars: 281
Content AnalysisAAnalyze 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.datapythongoVotes: 0GitHub stars: 281
Data Exploration VisualizationA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。datapythongoVotes: 0GitHub stars: 281
Funnel AnalysisAAnalyze 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.datapythonbashVotes: 0GitHub stars: 281
Growth Model AnalyzerA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。datapythonbashVotes: 0GitHub stars: 281
Ltv PredictorA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。datapythonbashVotes: 0GitHub stars: 281
Recommender SystemA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。developmentpythongoVotes: 0GitHub stars: 281
Regression Analysis ModelingAPerform 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.datapythongoVotes: 0GitHub stars: 281
Retention AnalysisAAnalyze 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.datapythonbashVotes: 0GitHub stars: 281
Rfm Customer SegmentationAPerform 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.datapythonbashVotes: 0GitHub stars: 281
Code GeneratorAGenerates production-ready analysis code in Python, R, SQL. Invoke when user wants reusable code for data analysis, ML, or visualization.developmentpythonsqlVotes: 0GitHub stars: 281
Data AnalysisA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！dataVotes: 0GitHub stars: 281
Data ExplorerAPerforms exploratory data analysis, statistical analysis, and pattern discovery. Invoke when user wants to analyze data, find patterns, statistical testing, or get deep insights.datapythongoVotes: 0GitHub stars: 281
Hypothesis GeneratorAGenerates testable research hypotheses and experimental designs. Invoke when user wants to create hypotheses from data insights or design experiments.researchtestinggitVotes: 0GitHub stars: 281
Internet Data AnalysisA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datatestingVotes: 0GitHub stars: 281
Quality AssuranceAData quality validation and analysis accuracy verification. Invoke when user wants data quality checks, validation, or result verification.researchpythongoVotes: 0GitHub stars: 281
Report WriterAGenerates comprehensive analysis reports, executive summaries, and technical documentation. Invoke when user wants to create written reports from data analysis.researchgodocumentationVotes: 0GitHub stars: 281
Visualization SpecialistACreates data visualizations, charts, and interactive dashboards. Invoke when user wants to create plots, graphs, or visual representations of data.datapythongoVotes: 0GitHub stars: 281
Tikhub Api HelperASearch and query TikHub APIs for TikTok, Douyin, Xiaohongshu, Lemon8, Instagram, YouTube, Twitter, Reddit, and more. Use when user asks about needs to fetch data from social media platforms. Supports both English and Chinese queries.developmentpythongoVotes: 0GitHub stars: 126
DucksearchA使用 DuckDuckGo 进行网页搜索和内容提取的命令行工具。当用户需要搜索网络信息、查找资料、获取网页内容时使用此 skill。触发场景包括：(1) 搜索网络内容 (2) 获取网页文本 (3) 使用 DuckDuckGo 搜索 (4) 抓取网页内容 (5) 配置 MCP 搜索服务器。toolsgobashVotes: 0GitHub stars: 53
Research BrightdataAThis skill should be used when the user asks to "research web data", "scrape websites", "extract web data", "perform market research", "analyze competitors", "monitor prices", "collect product information", "search and analyze web content", or mentions Bright Data MCP, web scraping, web data extraction, or automated research. Provides comprehensive web research workflows using Bright Data MCP tools including search, scraping, extraction, and browser automation capabilities.researchjavascriptgoVotes: 0GitHub stars: 53
CitationsAAdd citations to research reports. Use after deep-research completes to add proper source citations.developmentrustgoVotes: 0GitHub stars: 37
Deep ResearchAConduct deep research on any topic using parallel subagents and web tools (web_search, web_fetch, playwright). Use for queries that require comprehensive research from multiple perspectives.developmentjavascriptgoVotes: 0GitHub stars: 37
Research SubagentAInternal skill - Research subagent that executes focused research tasks using web tools. Called automatically by the deep-research lead agent.developmentjavascriptgoVotes: 0GitHub stars: 37