Create professional, data-driven reports with charts, tables, and narrative text. Perfect for business reports, analytics dashboards, status updates, and automated reporting pipelines.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionreport-generatorExecute the skills CLI command in your project's root directory to begin installation:
Fetches report-generator from dkyazzentwatwa/chatgpt-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate report-generator. Access via /report-generator in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
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Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
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Create professional, data-driven reports with charts, tables, and narrative text. Perfect for business reports, analytics dashboards, status updates, and automated reporting pipelines.
from scripts.report_gen import ReportGenerator
# Create a simple report
report = ReportGenerator("Monthly Sales Report")
report.add_text("This report summarizes sales performance for Q4 2024.")
report.add_table(sales_data, title="Sales by Region")
report.add_chart(sales_data, chart_type="bar", title="Revenue by Month")
report.add_text("Key findings: Revenue increased 25% quarter-over-quarter.")
report.generate().save("sales_report.pdf")
# From template
report = ReportGenerator.from_template("executive_summary")
report.set_data(data_dict)
report.generate().save("exec_summary.pdf")
# New report
report = ReportGenerator("Report Title")
report = ReportGenerator("Report Title", subtitle="Q4 2024 Analysis")
# From template
report = ReportGenerator.from_template("quarterly_review")
# With config
report = ReportGenerator("Title", config={
"page_size": "letter",
"orientation": "portrait",
"margins": {"top": 1, "bottom": 1, "left": 0.75, "right": 0.75}
})
# Title and subtitle
report.set_title("Annual Report 2024")
report.set_subtitle("Financial Performance Analysis")
# Author and date
report.set_author("Analytics Team")
report.set_date("December 2024")
report.set_date_auto() # Use today
# Organization
report.set_organization("Acme Corporation")
report.set_logo("logo.png")
# Simple paragraph
report.add_text("This is a paragraph of analysis text.")
# Styled text
report.add_text("Important finding!", style="highlight")
report.add_text("Key metric: 42%", style="metric")
# Headers
report.add_heading("Executive Summary", level=1)
report.add_heading("Revenue Analysis", level=2)
report.add_heading("By Region", level=3)
# Bullet points
report.add_bullets([
"Revenue increased 25% YoY",
"Customer acquisition up 15%",
"Churn rate decreased to 3%"
])
# Numbered list
report.add_numbered_list([
"Expand to European markets",
"Launch mobile application",
"Implement AI-driven analytics"
])
# From DataFrame
import pandas as pd
df = pd.DataFrame({
'Region': ['North', 'South', 'East', 'West'],
'Revenue': [100000, 85000, 92000, 78000],
'Growth': ['12%', '8%', '15%', '5%']
})
report.add_table(df, title="Regional Performance")
# From dict/list
data = [
{'Product': 'A', 'Sales': 1000, 'Profit': 200},
{'Product': 'B', 'Sales': 1500, 'Profit': 350}
]
report.add_table(data, title="Product Summary")
# With styling
report.add_table(df, title="Sales Data",
highlight_max=['Revenue'], # Highlight max values
highlight_min=['Growth'], # Highlight min values
currency_cols=['Revenue'], # Format as currency
percent_cols=['Growth'], # Format as percent
align={'Region': 'left', 'Revenue': 'right'}
)
# Bar chart
report.add_chart(
data=df,
chart_type="bar",
x="Region",
y="Revenue",
title="Revenue by Region"
)
# Line chart
report.add_chart(
data=time_series_df,
chart_type="line",
x="Month",
y=["Sales", "Forecast"],
title="Sales Trend"
)
# Pie chart
report.add_chart(
data=category_df,
chart_type="pie",
values="Amount",
labels="Category",
title="Budget Allocation"
)
# Chart options
report.add_chart(
data=df,
chart_type="bar",
x="Region",
y="Revenue",
title="Revenue Analysis",
color="#3498db",
width=6, # inches
height=Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
report-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: report-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
Keeps context tight: report-generator is the kind of skill you can hand to a new teammate without a long onboarding doc.
report-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
report-generator has been reliable in day-to-day use. Documentation quality is above average for community skills.
report-generator reduced setup friction for our internal harness; good balance of opinion and flexibility.
Solid pick for teams standardizing on skills: report-generator is focused, and the summary matches what you get after install.
Registry listing for report-generator matched our evaluation — installs cleanly and behaves as described in the markdown.
Solid pick for teams standardizing on skills: report-generator is focused, and the summary matches what you get after install.
report-generator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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