- name
- ascii-mini-charts
- description
- Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal + annotated variants and normalization notes.
- license
- Apache-2.0
- dependencies
- ["python>=3.8"]
## When to use this skill
**CRITICAL TRIGGER RULE**
- Use this skill ONLY when the user explicitly mentions the exact skill name: `ascii-mini-charts`.
**Trigger phrases include:**
- "ascii-mini-charts"
- "use ascii-mini-charts"
- "用 ascii-mini-charts 生成 sparkline / 火花线"
- "使用 ascii-mini-charts 标注 min/max/current"
## Boundary
- No statistical inference. Visualization only.
- Default output is ASCII-only. Unicode blocks are optional and MUST include an ASCII-only fallback.
- Default output width should stay <= 60 columns. For longer series, provide a compression strategy (sampling/bucketing).
## How to use this skill
### Inputs
- series (required numeric list)
- type (sparkline | bar | line, default sparkline)
- width (default min(len(series), 30))
- height (default 10 for bar/line)
- normalize (linear | log, default linear)
- showLabels (default true)
### Outputs (required)
- chartMinimal
- chartAnnotated (with min/max/current)
- scaleNotes (normalization + outlier strategy)
## Script
- `scripts/mini_charts.py`: generate ASCII mini charts from JSON stdin
## Examples
- `examples/sparkline.md`
## Quality checklist
1. Trend is clear; labels are short and non-spammy
2. ASCII-only output copy/pastes cleanly
3. Provide a compression strategy for long series
## Keywords
**English:** ascii-mini-charts, sparkline, ascii chart, bar chart, line chart, trend, normalize
**中文:** ascii-mini-charts, 火花线, ASCII 图表, 柱状图, 折线图, 趋势, 归一化
## 常见陷阱 (Gotchas)
1. **版本兼容性**:注意框架版本与依赖库的兼容性,不同版本 API 可能有差异
2. **配置文件格式**:配置文件格式错误是最常见的问题,建议使用编辑器的语法检查
3. **环境变量**:确保所有必要的环境变量已正确设置,敏感信息不要硬编码
4. **依赖冲突**:多版本共存时注意依赖冲突,使用 lock 文件锁定版本
5. **性能陷阱**:大数据量场景下注意性能优化,避免 N+1 查询等常见问题
## 使用流程
### Step 1: 环境准备
确保开发环境已安装必要的依赖和工具。
### Step 2: 配置初始化
根据项目需求进行基础配置。
### Step 3: 核心功能使用
按照示例代码实现核心功能。
### Step 4: 测试验证
运行测试确保功能正常。
### Step 5: 部署上线
完成开发后进行部署和监控。
Voir sur GitHub