skills

此技能用于通过 Interactive Brokers（IBKR）API 进行自动化交易操作，包括连接 TWS/IB Gateway、合约查询与校验、行情数据获取（实时/历史）、下单交易（股票/期权/期货/外汇）、账户和持仓查询。优先使用 ib_async（ib_insync 的维护分支）封装库，并优先从环境变量解析 IB Gateway/TWS 的地址、端口和 clientId。适用于用户提到 IBKR API、Interactive Brokers、TWS API、ib_insync、ib_async、IB Gateway、ibapi、placeOrder、reqHistoricalData、qualifyContracts、期货下单、全球多市场自动化交易的场景。

此技能用于通过 Charles Schwab Trader API 进行美股交易操作，包括 OAuth 认证、行情数据获取、下单交易（股票/期权）、账户查询和实时流式数据订阅。支持 schwab-py 封装库或直接调用官方 REST API。适用于用户提到 Schwab API、schwab-py、Charles Schwab 自动化交易、美股 API 下单、期权链查询、实时行情流式订阅、get_price_history、place_order、thinkorswim API 的场景。

此技能用于使用 AKShare Python 库获取多市场金融数据，覆盖 A 股、港股、美股、期货、基金、ETF、可转债、期权、宏观指标、行业板块、概念板块、资金流向、涨停池、龙虎榜和实时行情。适用于用户提到 AKShare、akshare、A股实时行情、stock_zh_a_hist、stock_individual_fund_flow、stock_zt_pool_em、龙虎榜、港股、美股、期货、基金净值、ETF、可转债、宏观数据或多市场金融数据脚本的场景。

此技能用于使用 BaoStock Python 库获取中国 A 股行情、财务指标、交易日历、指数成分、行业分类和宏观利率数据。适用于用户提到 BaoStock、baostock、A股K线、前复权、后复权、季度财务指标、交易日历、指数成分股、批量下载A股数据、query_history_k_data_plus，或需要编写 BaoStock Python 数据脚本的场景。

Optimizes Grafana Jsonnet dashboard content for observability and SRE best practices (RED/USE/Golden Signals). Use when auditing dashboard quality, improving monitoring effectiveness, enhancing diagnostic capabilities, or reviewing observability coverage. Focuses on content-level improvements without code structure refactoring.

Converts Grafana dashboard JSON exports to Jsonnet using grafana-code mixin conventions. Use when importing dashboards from Grafana UI exports, migrating to infrastructure-as-code, or integrating JSON dashboards into grafana-code. Produces self-contained Jsonnet files with unified libraries, modernizes legacy panel types, and supports manual import with datasource selection.

Refactors Grafana Jsonnet dashboards to eliminate duplication and align with available unified libraries while preserving behavior. Use when dashboards contain duplicated code, inconsistent patterns, legacy panel types, or need standardization with existing conventions. Produces single self-contained files without dashboard-specific libraries.

Converts Python report scripts (Elasticsearch queries + email output) into Grafana Jsonnet dashboards with dual-datasource support (ClickHouse + Elasticsearch ES7/ES8). Use when migrating scheduled email reports to real-time monitoring dashboards, building multi-datasource observability views, or converting report calculations to interactive panels.

[Third-person description of what this skill does]. Converts/Analyzes/Generates [output] from [input]. Use when [trigger scenario 1], [trigger scenario 2], or [trigger scenario 3].