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A股技术分析/K线分析。当用户说"技术分析"、"K线"、"均线"、"MACD"、"支撑位"、"压力位"、"技术面怎么看"、"走势分析"、"形态分析"、"量价分析"时触发。基于 cn-stock-data 获取K线和成交量数据，进行均线系统、量价关系、技术指标、形态识别、支撑压力位分析。支持专业技术分析报告风格（formal）和个人看盘笔记风格（brief）。不适用于基本面分析（用 a-share-earnings-analysis）或估值分析（用 a-share-dcf / a-share-comps）。
7 of 22 test cases passed with the skill.
Tokens, turns and time describe resource use, not a dollar price.
Lift withheld: 7 comparable cases; this report requires 8.
A test case the skill fixed. Same model, same prompt, with and without the skill.
For a half-page brief note on Focus Media (002027), which specific key moving averages should be highlighted in brief note mode?
| Checked | Without skill | With skill |
|---|---|---|
| Focuses key moving average position analysis specifically on MA20 and MA60. | Missed | Passed |
The instructions your model reads when the skill loads.
SCRIPTS="$SKILLS_ROOT/cn-stock-data/scripts"
# 日线 K 线（近 1 年，用于中长期分析）
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq daily --start [1年前日期]
# 周线 K 线（近 3 年，用于长期趋势判断）
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq weekly --start [3年前日期]
# 分钟线（短线分析）
python "$SCRIPTS/cn_stock_data.py" kline --code [CODE] --freq 60min --start [近期日期]
# 实时行情
python "$SCRIPTS/cn_stock_data.py" quote --code [CODE]
# 资金流向（验证量价信号）
python "$SCRIPTS/cn_stock_data.py" fund_flow --code [CODE] --days 30
Step 1: 数据获取与预处理
Step 2: 趋势分析 基于日线和周线判断整体趋势：
均线系统（必算）：
趋势判断：
test cases passed with the skill
More skills from the same source and nearby in the registry, with their headline benchmark lift.