Planning, sales, accounting, legal, and project management (3.7K skills)
Turn support feedback or chat logs into a structured requirements document. Use numbered questions to clarify problems, goals, users, constraints, and open questions, then guide human review before handing approved requirements to development.
Analyze the volatility implied by option prices across strike prices and expiration dates. Compare calendar spreads and other volatility strategies, then assess portfolio risk using Greeks, measures of how option values respond to market changes.
Compare money moving into and out of US exchange-traded funds to assess sector rotation and appetite for risk. Produce a structured view of broad market, growth versus value, bond, and thematic fund flows.
Explain portfolio performance by separating the effects of sector allocation, stock selection, market factors, and timing. Compare results with a benchmark, assess risk-adjusted returns, and prepare a report showing where excess returns came from.
Analyze option strategies with profit and loss charts, breakeven points, and maximum risk calculations. Compare single options and combinations, and explore how underlying prices and volatility affect theoretical values for research and backtesting.
Document why you own a stock, the assumptions behind the purchase, and conditions for reconsidering it. Review these against quarterly earnings and major events, score the investment rationale's health, and outline whether to hold, add, trim, or exit.
Review trading rules across China A-shares, Hong Kong stocks, US stocks, and crypto markets. Use comparison tables and checklists to identify execution limits, short-selling constraints, trading hours, fees, and tax considerations when designing historical trading simulations.
Analyze public blockchain records to assess crypto market conditions. Combine network activity, large-holder transfers, decentralized finance liquidity, and valuation measures into a report with indicator comparisons, a composite score, and an interpretation of market signals.
Analyze scheduled token releases, their recipients, and trading volume to estimate potential selling pressure. Review project treasury holdings, operating runway, and token supply growth to assess funding sustainability and the effect of dilution on staking yields.
Research private companies through six perspectives, including business, finances, competition, and technology. Cross-check evidence, separate facts from inferences, and produce a valuation range, possible exit routes, and a map of missing information.
Turn stock, industry, strategy, or backtest research into structured Markdown reports. Present conclusions, supporting data, ratings, risks, and recommendations using consistent tables and terminology, with PDF delivery supported through the specified rendering tool.
Evaluate companies using projected cash flows, dividends, business segments, and comparisons with peers. Select suitable valuation methods, examine how assumptions change estimated value, and check for problems that can make a seemingly cheap stock misleading.
Track USDT, USDC, and other stablecoins to assess capital entering or leaving crypto markets. Combine supply changes, issuance and redemption, exchange balances, transfer activity, and movements between blockchains into a structured liquidity report.
Turn trading rules into Python code and configuration files, then test them against historical data. Review performance, position sizing, and trading costs, and revise strategies using the results produced by the backtest engine.
Analyze price swings to detect Elliott Wave structures: five waves following a trend and three waves correcting it. Check wave rules and Fibonacci ratios, then generate signals for completed advances or pullbacks using a pandas implementation.
Interpret economic indicators and central bank policy across China, the United States, and Europe. Identify the economic cycle stage and produce a structured assessment of whether to increase, maintain, or reduce allocations to major asset classes.
Turn news, company announcements, and policy events into scored trading inputs. Store assessments in a standard CSV file, reduce their influence over time, and combine them with signals from price indicators to support event-based strategy testing.
Analyze bond prices, yields, and issuers’ ability to repay debt. The skill covers interest rate exposure, default risk models, yield spreads, Chinese local government financing platform bonds, and securities backed by pools of loans.
Analyze candlestick data using Chan theory, a method based on price structure. Detect turning points, movement segments, and overlapping price zones, then generate buy and sell signals and compare patterns across timeframes.
Break down major industrial trends into materials, components, and equipment to find listed suppliers at supply bottlenecks. Compare scarcity, financial performance, and valuation, then organize candidates into a ranked research board with supporting evidence and risks.
Analyze earnings estimate changes, results versus analyst expectations, and management forecasts for US and Hong Kong stocks. Organize findings on post-earnings price trends and earnings quality into a structured investment research report.
Analyze crude oil, gold, and copper using supply and demand, inventories, futures prices, and seasonal patterns. Combine these factors with macroeconomic conditions to produce research reports showing market direction, confidence, and specific risks.
Analyze cross-border stock flows between mainland China and Hong Kong through Stock Connect. Compare overseas buying of mainland shares, mainland buying of Hong Kong shares, sector allocations, and price gaps between dual-listed shares.
Detect five-point price patterns using Fibonacci ratios and generate buy, sell, or stand-aside signals. The skill identifies Gartley, Bat, Butterfly, and Crab patterns and locates potential reversal zones, where a price trend may change direction.