multiAI Summary Pending
ascii-mini-charts
Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal and annotated variants and normalization notes. Use when the user needs text-based data visualization, terminal charts, or ASCII graphs for CLI output.
223 stars
Installation
Claude Code / Cursor / Codex
$curl -o ~/.claude/skills/ascii-mini-charts/SKILL.md --create-dirs "https://raw.githubusercontent.com/partme-ai/full-stack-skills/main/skills/ascii-skills/ascii-mini-charts/SKILL.md"
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/ascii-mini-charts/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How ascii-mini-charts Compares
| Feature / Agent | ascii-mini-charts | Standard Approach |
|---|---|---|
| Platform Support | multi | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generate ASCII mini charts (sparkline/bar/simple line) for plain-text trend inspection, with minimal and annotated variants and normalization notes. Use when the user needs text-based data visualization, terminal charts, or ASCII graphs for CLI output.
Which AI agents support this skill?
This skill is compatible with multi.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
## 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)
### Inline Example
Input: `series=[3, 7, 2, 9, 5, 8, 1, 6]`, `type=sparkline`:
**chartMinimal:**
```
▂▅▁▇▃▆ ▄
```
**chartAnnotated:**
```
▂▅▁▇▃▆ ▄ min:1 max:9 current:6
```
Input: `series=[10, 25, 15, 30]`, `type=bar`, `height=5`:
**chartAnnotated:**
```
##
## ##
## ##
## ## ##
## ## ## ##
10 25 15 30
```
### Script Usage
```bash
# Generate sparkline from JSON data
echo '{"series": [3, 7, 2, 9, 5, 8, 1, 6], "type": "sparkline"}' | python3 scripts/mini_charts.py
# Generate bar chart with annotations
echo '{"series": [10, 25, 15, 30], "type": "bar", "height": 5, "showLabels": true}' | python3 scripts/mini_charts.py
```
## 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