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Get Started Free →用于图表理解的图表元素识别原子 skill，适用于通用行业文档解析场景。
.claude/skills/aifinlab-chart-element-recognition/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 105% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-01 | ✗→✓ | ▲ Improved | 100% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -19% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 153% | 0% |
本 Skill 支持多种图表输入格式，核心数据来源包括：
> 说明：本 Skill 不包含图表采集功能，需要用户提供图表文件。建议图表清晰且格式规范，以便进行准确的元素识别。
本 Skill 提供全面的图表元素识别能力，涵盖多种识别功能：
json{ "chart_info": { "filename": "sales_chart.png", "file_size": 256000, "format": "png", "dimensions": [800, 600] }, "chart_type": { "primary_type": "bar_chart", "sub_type": "grouped_bar_chart", "confidence": 0.95 }, "axes": { "x_axis": { "label": "季度", "type": "categorical", "categories": ["Q1", "Q2", "Q3", "Q4"], "unit": null }, "y_axis": { "label": "销售额", "type": "numerical", "range": [0, 1000], "unit": "万元" } }, "data_series": [ { "series_name": "产品A", "series_type": "bar", "data_points": [ {"x": "Q1", "y": 200}, {"x": "Q2", "y": 250}, {"x": "Q3", "y": 300}, {"x": "Q4", "y": 280} ], "color": "#FF5733" }, { "series_name": "产品B", "series_type": "bar", "data_points": [ {"x": "Q1", "y": 150}, {"x": "Q2", "y": 180}, {"x": "Q3", "y": 220}, {"x": "Q4", "y": 250} ], "color": "#33C3F0" } ], "text_elements": { "title": "2024年季度销售额对比", "subtitle": null, "legend": ["产品A", "产品B"], "annotations": [] }, "extracted_data": { "raw_data": [ {"季度": "Q1", "产品A": 200, "产品B": 150}, {"季度": "Q2", "产品A": 250, "产品B": 180}, {"季度": "Q3", "产品A": 300, "产品B": 220}, {"季度": "Q4", "产品A": 280, "产品B": 250} ], "data_format": "table" }, "analysis": { "trend": "increasing", "key_insights": ["产品A销售额持续增长", "Q3达到峰值"], "description": "该图表展示了2024年四个季度产品A和产品B的销售额对比情况，整体呈现上升趋势。" } }
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→pass | 10,275 | 8,289 | -19% | 1 | 1 | 0% | 1,624 | 3,328 | +105% | 0 | 0 | — |
case-05 | pass→pass | 10,833 | 5,196 | -52% | 1 | 1 | 0% | 1,987 | 2,778 | +40% | 0 | 0 | — |
case-15 | fail→pass | 15,810 | 7,406 | -53% | 1 | 1 | 0% | 2,280 | 2,946 | +29% | 0 | 0 | — |
case-16 | pass→pass | 6,340 | 5,391 | -15% | 1 | 1 | 0% | 1,128 | 2,755 | +144% | 0 | 0 | — |
case-01 | fail→pass | 10,155 | 13,431 | +32% | 1 | 1 | 0% | 1,988 | 3,972 | +100% | 0 | 0 | — |
case-02 | fail→pass | 23,556 | 11,303 | -52% | 1 | 1 | 0% | 5,448 | 4,420 | -19% | 0 | 0 | — |
case-03 | fail→pass | 8,259 | 11,058 | +34% | 1 | 1 | 0% | 1,596 | 4,037 | +153% | 0 | 0 | — |
case-06 | fail→pass | 4,376 | 5,679 | +30% | 1 | 1 | 0% | 721 | 2,856 | +296% | 0 | 0 | — |
case-07 | pass→pass | 11,621 | 4,894 | -58% | 1 | 1 | 0% | 1,988 | 2,634 | +32% | 0 | 0 | — |
case-08 | fail→pass | 5,736 | 9,801 | +71% | 1 | 1 | 0% | 1,016 | 3,636 | +258% | 0 | 0 | — |
case-09 | fail→pass | 13,760 | 9,140 | -34% | 1 | 1 | 0% | 2,361 | 3,450 | +46% | 0 | 0 | — |
case-10 | pass→pass | 13,967 | 4,185 | -70% | 1 | 1 | 0% | 2,200 | 2,475 | +13% | 0 | 0 | — |
case-11 | fail→pass | 11,880 | 4,363 | -63% | 1 | 1 | 0% | 1,882 | 2,506 | +33% | 0 | 0 | — |
case-12 | pass→pass | 13,259 | 4,833 | -64% | 1 | 1 | 0% | 1,989 | 2,597 | +31% | 0 | 0 | — |
case-13 | pass→pass | 13,721 | 7,503 | -45% | 1 | 1 | 0% | 2,147 | 2,955 | +38% | 0 | 0 | — |
case-14 | pass→pass | 11,347 | 7,219 | -36% | 1 | 1 | 0% | 1,806 | 2,841 | +57% | 0 | 0 | — |
case-17 | pass→pass | 13,113 | 8,076 | -38% | 1 | 1 | 0% | 1,952 | 3,020 | +55% | 0 | 0 | — |
case-18 | fail→pass | 12,893 | 6,435 | -50% | 1 | 1 | 0% | 2,500 | 2,859 | +14% | 0 | 0 | — |
case-19 | fail→pass | 7,336 | 9,279 | +26% | 1 | 1 | 0% | 581 | 3,546 | +510% | 0 | 0 | — |
case-20 | pass→fail | 37,662 | 40,351 | +7% | 1 | 1 | 0% | 8,246 | 6,587 | -20% | 0 | 0 | — |
case-21 | pass→pass | 12,252 | 3,460 | -72% | 1 | 1 | 0% | 2,037 | 2,384 | +17% | 0 | 0 | — |
case-22 | pass→pass | 14,029 | 2,772 | -80% | 1 | 1 | 0% | 2,241 | 2,252 | +0% | 0 | 0 | — |
case-23 | fail→pass | 8,548 | 2,673 | -69% | 1 | 1 | 0% | 1,362 | 2,199 | +61% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 23 cases were attempted, and 22 counted toward the lift figure. The other 1 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +48 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is included in that figure.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.