القائمة
Sub-skill of python-pptx: 3. Chart Generation.
يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.
اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.
استنادا إلى تصنيف SOC المهني
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.
npx skills add https://github.com/vamseeachanta/workspace-hub --skill python-pptx-3-chart-generationيبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.
تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.
عرض SKILL.md
Write outbound email and external messages in Vamsee Achanta's voice — a subtle offer to help, never bold or rash claims. Load before drafting ANY email, LinkedIn/Collide reply, proposal note, or outreach sent under his name.
Save/publish analysis or computation results from ANY ecosystem repo to Hugging Face as a queryable, viewer-renderable dataset. Use when the user wants to "save results to hugging face", "publish dataset to HF", "hugging face data saving", "save analysis results", "hf dataset", "make results queryable", or "render via datasets-server API". Reshapes nested results into flat parquet tables, writes a dataset card with a viewer `configs:` block and provenance, applies license/public-vs-private routing, enforces a domain data-quality gate (faithful-to-source != correct), publishes to `aceengineer/<repo>-<projection>`, and verifies via the datasets-server API.
Clone, create, fork, configure, and manage GitHub repositories. Manage remotes, secrets, releases, and workflows. Works with gh CLI or falls back to git + GitHub REST API via curl.
| name | python-pptx-3-chart-generation |
| description | Sub-skill of python-pptx: 3. Chart Generation. |
| version | 1.0.0 |
| category | data |
| type | reference |
| scripts_exempt | true |
"""
Create various chart types in PowerPoint presentations.
"""
from pptx import Presentation
from pptx.util import Inches, Pt
from pptx.chart.data import CategoryChartData, ChartData
from pptx.enum.chart import XL_CHART_TYPE, XL_LEGEND_POSITION
from pptx.dml.color import RgbColor
def create_chart_presentation(output_path: str) -> None:
"""Create presentation with various chart types."""
prs = Presentation()
# Slide 1: Column Chart
slide = prs.slides.add_slide(prs.slide_layouts[5]) # Title only
slide.shapes.title.text = "Quarterly Revenue"
# Chart data
chart_data = CategoryChartData()
chart_data.categories = ['Q1', 'Q2', 'Q3', 'Q4']
chart_data.add_series('2025', (1200, 1400, 1600, 1800))
chart_data.add_series('2026', (1500, 1750, 2000, 2200))
# Add chart
x, y, cx, cy = Inches(1), Inches(1.5), Inches(11), Inches(5.5)
chart = slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_CLUSTERED,
x, y, cx, cy,
chart_data
).chart
# Customize chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
chart.legend.include_in_layout = False
# Style the chart
plot = chart.plots[0]
plot.has_data_labels = True
data_labels = plot.data_labels
data_labels.font.size = Pt(10)
data_labels.number_format = '$#,##0'
# Slide 2: Line Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Monthly Trend Analysis"
chart_data = CategoryChartData()
chart_data.categories = ['Jan', 'Feb', 'Mar', 'Apr', 'May', 'Jun']
chart_data.add_series('Sales', (100, 120, 140, 135, 160, 180))
chart_data.add_series('Target', (110, 120, 130, 140, 150, 160))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.LINE_MARKERS,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
# Slide 3: Pie Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Market Share Distribution"
chart_data = CategoryChartData()
chart_data.categories = ['Product A', 'Product B', 'Product C', 'Other']
chart_data.add_series('Share', (35, 30, 25, 10))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.PIE,
Inches(3), Inches(1.5), Inches(7), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.RIGHT
plot = chart.plots[0]
plot.has_data_labels = True
data_labels = plot.data_labels
data_labels.show_percentage = True
data_labels.show_value = False
data_labels.font.size = Pt(12)
# Slide 4: Bar Chart (Horizontal)
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Regional Performance"
chart_data = CategoryChartData()
chart_data.categories = ['North', 'South', 'East', 'West', 'Central']
chart_data.add_series('Revenue', (450, 380, 520, 420, 310))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.BAR_CLUSTERED,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = False
plot = chart.plots[0]
plot.has_data_labels = True
plot.data_labels.font.size = Pt(11)
plot.data_labels.number_format = '$#,##0K'
# Slide 5: Stacked Column Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Product Mix by Quarter"
chart_data = CategoryChartData()
chart_data.categories = ['Q1', 'Q2', 'Q3', 'Q4']
chart_data.add_series('Hardware', (400, 450, 500, 550))
chart_data.add_series('Software', (300, 350, 400, 450))
chart_data.add_series('Services', (200, 250, 300, 350))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.COLUMN_STACKED,
Inches(1), Inches(1.5), Inches(11), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.BOTTOM
# Slide 6: Doughnut Chart
slide = prs.slides.add_slide(prs.slide_layouts[5])
slide.shapes.title.text = "Budget Allocation"
chart_data = CategoryChartData()
chart_data.categories = ['R&D', 'Marketing', 'Operations', 'Admin']
chart_data.add_series('Budget', (40, 25, 25, 10))
chart = slide.shapes.add_chart(
XL_CHART_TYPE.DOUGHNUT,
Inches(3), Inches(1.5), Inches(7), Inches(5.5),
chart_data
).chart
chart.has_legend = True
chart.legend.position = XL_LEGEND_POSITION.RIGHT
prs.save(output_path)
print(f"Chart presentation saved to {output_path}")
create_chart_presentation("chart_presentation.pptx")