Productivity

判断回购计划的规模、动机、执行约束与真实利好程度。适用于公司宣布回购、估值争议期、资本配置分析等场景。

解读分红提升、削减、暂停或恢复背后的原因、持续性与投资含义。适用于收益型投资判断、公告复盘、长期现金流跟踪等场景。

判断下跌或回调中的个股是否值得承接，并给出观察区、试错条件、分批节奏与放弃标准。适用于趋势回踩、事件后回落、震荡低吸与左侧谨慎试错场景。

使用沃伦·巴菲特式的能力圈、护城河、管理层诚信、所有者收益和资本配置框架分析企业与长期投资。用于研究公司商业模式、竞争优势、现金质量、管理层、估值、安全边际，或判断一项投资应继续研究、等待还是放弃。

用于A股市场主线识别，聚焦市场结构 / 题材周期 / 资金行为。本skill主要用户问题回答、撰写报告、撰写金融类文章等场景。本报告输出内容较多，不适合简单对话场景。各类信息与数据的获取，可以使用wind.financial.data工具，以合理的关键字或关键字组合进行获取。每天开盘后、午盘、收盘后，用户都需要快速知道： 今天市场到底在交易什么，真正的主线是什么，情绪在什么位置，明天应该盯哪里。

Expert guidance for systematic backtesting of trading strategies. Use when developing, testing, stress-testing, or validating quantitative trading strategies. Covers "beating ideas to death" methodology, parameter robustness testing, slippage modeling, bias prevention, and interpreting backtest results. Applicable when user asks about backtesting, strategy validation, robustness testing, avoiding overfitting, or systematic trading development.

判断盈利仓是否适合继续加仓，并给出加仓前提、节奏安排、保护规则与停止扩张边界。适用于趋势延续、核心持仓滚动放大与强势股二次进攻场景。

使用纳瓦尔·拉维坎特式的重新定义、欲望审计、特定知识和杠杆框架澄清职业、创业、财富、幸福、自由与人生选择。用于识别错误问题、冲突欲望、独特竞争力、AI替代风险、许可依赖、边际成本和长期复利方向。

批量识别突破形态成熟、量价结构健康、催化配合较好的候选股，并输出优先级、触发条件与失效边界。适用于短中线选股、盘前候选池整理、板块轮动中筛选领涨预备股等场景。

把公司如何获客、交付、定价、赚钱和扩张的逻辑拆解清楚，帮助快速理解业务运转方式。适用于看不懂公司业务、研究前补基础、业务结构梳理等场景。

依据成长股框架批量筛选业绩、预期、相对强度与供需结构共振的强势标的，并输出候选分层与跟踪重点。适用于成长股猎手、趋势成长选股、候选池批量扫描等场景。

Run a structured personal-data erasure campaign against OSINT tools, breach-search engines, people-search sites, B2B contact databases and ad-tech brokers. Use when someone wants their email address, name, phone number or username removed from data brokers, wants to know who is holding their data, asks about GDPR / CCPA / PIPEDA erasure or "right to be forgotten" requests, or asks to opt out of people-search or breach-lookup sites. Ships a 329-site registry with verified privacy contacts, request templates for 13 privacy regimes, and escalation paths to regulators.

Designs the executive summary tab of an Excel model with KPI tiles, a narrative block, a sensitivity summary, and an assumption log, formatted for print or screenshot use in a board pack.

Turns pasted or exported data with mixed formats, blank rows, or duplicates into a clean, consistently formatted range ready for analysis. Use it right after pasting raw data into a worksheet.

Builds a Base/Bull/Bear scenario switching layer for a model in a .xlsx with a live selector, CHOOSE or INDEX assumption links, a side-by-side output comparison, and a recalc check, then delivers the workbook. Use when someone wants an auditable scenario toggle instead of Excel's hidden Scenario Manager. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Defines the master tab structure, naming conventions, color codes, number formats, and print area setup for any new strategy or finance Excel model, serving as the structural template before any content is added.

Builds one- and two-variable sensitivity (Data Table) analysis on a model output in a .xlsx with live formulas and a recalc check, then delivers the workbook. Use when someone wants to see how an output (NPV, IRR, EPS, margin) moves as one or two inputs change. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Specifies and builds a pivot table from a flat data range, choosing rows, columns, values, and filters. Use it when you have raw tabular data and need a summary view without building it cell by cell.

Make, adapt, and revise videos with Hypit from references or briefs, including SVML/SVS/SVRun authoring, project components, and Runtime or credential setup.

Builds a unit-economics and cohort .xlsx with live formulas across separate assumptions, cohort, and output tabs plus checks, computing CAC, LTV, LTV/CAC, and CAC payback from a monthly cohort retention grid. Use when someone needs unit economics, an LTV/CAC analysis, a payback model, or a cohort retention build. Do not trigger for editing an existing workbook through the Claude for Excel add-in.

Enforces the three-tab separation principle for any Excel model, producing a full design for a dedicated Inputs tab, one or more Calculations tabs, and a clean Outputs tab with a conventions checklist.

Ranks variable sensitivities to a key output and builds a tornado chart by swinging each input over a defined range, computing output impact, and producing a horizontal bar chart data structure.

Provides a systematic audit checklist for Excel model formula logic, hardcoded values, circular references, and error handling, with step-by-step instructions for using Excel's native auditing tools.

Creates a structured assumption register for any Excel model with columns for name, category, base value, source, Bull/Bear values, sensitivity rank, and owner, plus a formula for computing sensitivity rank from Data Table outputs.