From partme-ai-full-stack-skills
Generates ASCII mini charts (sparklines, bars, lines) with minimal/annotated variants and normalization notes for text-based trend visualization in terminals and CLI output.
npx claudepluginhub partme-ai/full-stack-skills --plugin t2ui-skillsThis skill uses the workspace's default tool permissions.
**CRITICAL TRIGGER RULE**
Creates isolated Git worktrees for feature branches with prioritized directory selection, gitignore safety checks, auto project setup for Node/Python/Rust/Go, and baseline verification.
Executes implementation plans in current session by dispatching fresh subagents per independent task, with two-stage reviews: spec compliance then code quality.
Dispatches parallel agents to independently tackle 2+ tasks like separate test failures or subsystems without shared state or dependencies.
CRITICAL TRIGGER RULE
ascii-mini-charts.Trigger phrases include:
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
# 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
scripts/mini_charts.py: generate ASCII mini charts from JSON stdinexamples/sparkline.mdEnglish: 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