a65adcc2e5
Sources: extracted from two upstream archives (skill-repo, skills-main),
merged with the following policy:
- 15 broken symlinks (pointing to /Users/jameslee/.cc-switch/skills or
../../.agents/skills on a foreign machine) discarded
- 3 real name collisions with identical content (ai-pair, ifind-http-api,
zhipu-websearch) kept as one copy
- Functional overlaps deduped keeping the strongest variant:
- docx family: kept docx (official, full toolchain) + docx-cn
(GB/T 9704 Chinese official-document constants),
dropped docx_writer (no scripts, name collided with docx)
- humanizer family: kept humanizer-zh (6 zh reference docs),
dropped humanizer (en, redundant for CN workflow)
- Skills that only ran in a foreign environment removed:
ablemind-ops, app-publish, hlb-design-system, openclaw-adj-skill,
claude-driver
- alphapai excluded from this public repo because its SKILL.md hard-coded
live credentials
Result: 25 skills, 572 files, ~7.5 MB.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
176 lines
5.3 KiB
Markdown
176 lines
5.3 KiB
Markdown
# 图表配置完整参考
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## config.json 完整格式
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```json
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{
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"text_data": {
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"标题": "2024年度投资报告",
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"日期": "2024-12-05",
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"组合名": "稳健增长组合"
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},
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"chart_configs": {
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"图表名": {
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"csv_path": "data.csv",
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"categories_col": "日期",
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"series_config": [...],
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"style": {...},
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"layout": {...}
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}
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}
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}
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```
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## series_config 系列配置
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每个系列是一个字典:
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```json
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[
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{"key": "沪深300指数", "name": "沪深300指数", "type": "bar", "axis": "secondary"},
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{"key": "组合收益率", "name": "组合收益率", "type": "line", "axis": "primary"}
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]
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```
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| 字段 | 说明 | 可选值 |
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|------|------|--------|
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| `key` | CSV 中的列名 | 任意字符串 |
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| `name` | 图例中的显示名 | 任意字符串 |
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| `type` | 图表类型 | `bar`, `line`, `area` |
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| `axis` | 绑定轴 | `primary`(左轴), `secondary`(右轴) |
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## style 样式配置
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```json
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{
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"color_scheme": "aim00",
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"line_width_pt": 2.0,
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"marker_style": "none"
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}
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```
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| 字段 | 说明 | 可选值 |
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|------|------|--------|
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| `color_scheme` | 颜色方案 | 见下方配色方案表 |
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| `line_width_pt` | 折线宽度(pt) | `0.5`, `0.75`, `1.0`, `1.5`, `2.0`, `2.25`, `3.0` |
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| `marker_style` | 标记点样式 | `none`, `circle`, `square`, `diamond`, `triangle` |
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| `marker_size` | 标记点大小(pt) | 数字，默认 `5` |
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### 配色方案完整表
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| 名称 | 色值 (hex) | 说明 |
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|------|-----------|------|
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| `aim00` | `C0C0C0` `C00000` `305496` `808080` | 对比色：浅灰柱状图 + 深红折线 |
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| `default` | `C00000` `0070C0` `ED7D31` `595959` `FF9999` `9DC3E6` `F4B183` `BFBFBF` | 深浅交替通用 |
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| `dark_only` | `C00000` `0070C0` `ED7D31` `595959` | 深色系4色 |
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| `light_only` | `FF9999` `9DC3E6` `F4B183` `BFBFBF` | 浅色系4色 |
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| `red_series` | `C00000` `FF9999` | 深红+浅红 |
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| `blue_series` | `0070C0` `9DC3E6` | 深蓝+浅蓝 |
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| `orange_series` | `ED7D31` `F4B183` | 深橙+浅橙 |
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| `gray_series` | `595959` `BFBFBF` | 深灰+浅灰 |
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颜色按系列索引循环使用。
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## layout 布局配置
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```json
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{
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"title": "组合2024年以来收益率走势图",
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"legend": {
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"position": "top",
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"font_size_pt": 9,
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"font_name": "黑体"
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},
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"value_axis": {
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"number_format": "0%",
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"font_size_pt": 9,
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"font_name": "黑体",
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"has_major_gridlines": false,
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"min_value": 0.0,
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"max_value": 1.0,
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"major_unit": 0.1
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},
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"secondary_value_axis": {
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"number_format": "#,##0",
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"font_size_pt": 9,
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"font_name": "黑体",
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"has_major_gridlines": false,
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"min_value": 2950,
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"max_value": 4450,
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"major_unit": 200
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},
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"date_axis": {
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"base_unit": "days",
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"major_unit": 30,
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"number_format": "yyyy/mm"
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}
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}
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```
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### legend 图例
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| 字段 | 说明 | 可选值 |
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|------|------|--------|
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| `position` | 位置 | `top`, `bottom`, `left`, `right`, `corner` |
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| `font_size_pt` | 字体大小 | 数字 |
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| `font_name` | 字体名 | `"黑体"`, `"宋体"` 等 |
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### value_axis / secondary_value_axis 数值轴
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| 字段 | 说明 | 示例 |
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|------|------|------|
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| `number_format` | 数字格式 | `"0%"`, `"#,##0"`, `"0.00"` |
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| `font_size_pt` | 字体大小 | `9` |
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| `font_name` | 字体名 | `"黑体"` |
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| `has_major_gridlines` | 主网格线 | `true`/`false` |
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| `min_value` | 轴最小值 | 数字（可选） |
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| `max_value` | 轴最大值 | 数字（可选） |
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| `major_unit` | 主刻度间隔 | 数字（可选） |
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### date_axis 日期轴
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| 字段 | 说明 | 示例 |
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|------|------|------|
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| `base_unit` | 基础单位 | `"days"`, `"months"`, `"years"` |
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| `major_unit` | 主刻度间隔 | 数字（标签间隔数据点数）|
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| `number_format` | 日期格式 | `"yyyy/mm"`, `"yyyy-mm-dd"`, `"mm-dd"` |
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如果省略 `major_unit`，默认使用 `len(df) // 7`（约显示 7 个标签）。
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### 日期轴预设
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可在代码中直接使用预设，无需手动配置:
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| 预设名 | 间隔 | 格式 | 适用数据量 |
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|--------|------|------|-----------|
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| `DAILY_TICKS` | 每天 | `mm-dd` | 1-30天 |
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| `WEEKLY_TICKS` | 每周 | `yyyy-mm-dd` | 1-6个月 |
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| `BIWEEKLY_TICKS` | 每两周 | `yyyy-mm-dd` | 季度 |
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| `MONTHLY_TICKS` | 每月 | `yyyy-mm` | 年度 |
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| `QUARTERLY_TICKS` | 每季度 | `yyyy-mm` | 多年 |
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| `YEARLY_TICKS` | 每年 | `yyyy` | 长期 |
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### 养老金图表预设
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4 个内置预设函数，传入 DataFrame 即返回完整配置:
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| 预设 | 函数 | 系列类型 | 所需 CSV 列 |
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|------|------|----------|-------------|
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| 当年收益率走势 | `get_chart1_config(df)` | bar(右)+line(左) | `分类`, `沪深300指数(收盘价)`, `组合收益率（左轴）` |
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| 成立以来收益率 | `get_chart2_config(df)` | area(右)+line(左) | `分类`, `组合规模(万元)`, `累计收益率` |
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| 权益仓位走势 | `get_chart3_config(df)` | area(右)+line(左) | `分类`, `沪深300指数(收盘价)`, `权益仓位（人社部口径）` |
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| 久期走势 | `get_chart4_config(df)` | bar(右)+line(左) | `分类`, `中债新综合总财富指数(收盘价)`, `久期` |
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使用 `scripts/list_presets.py --all` 可查询所有可用预设的完整信息。
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## CSV 数据文件格式
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第一列为分类列（通常是日期），后续列为数据系列:
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```csv
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日期,沪深300指数,组合收益率
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2024-01-02,3500,0.001
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2024-01-03,3520,0.005
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...
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```
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