grafana-skills

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.