python-docx-report-generation-from-database
Sub-skill of python-docx: Report Generation from Database (+1).
Best use case
python-docx-report-generation-from-database is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Sub-skill of python-docx: Report Generation from Database (+1).
Teams using python-docx-report-generation-from-database should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/report-generation-from-database/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How python-docx-report-generation-from-database Compares
| Feature / Agent | python-docx-report-generation-from-database | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Sub-skill of python-docx: Report Generation from Database (+1).
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
# Report Generation from Database (+1)
## Report Generation from Database
```python
"""
Generate reports from database query results.
"""
from docx import Document
from docx.shared import Inches, Pt
from docx.enum.text import WD_ALIGN_PARAGRAPH
from datetime import datetime
from typing import List, Dict, Any
import sqlite3
def generate_database_report(
db_path: str,
query: str,
output_path: str,
title: str = "Database Report"
) -> None:
"""Generate Word report from database query."""
# Connect and fetch data
conn = sqlite3.connect(db_path)
conn.row_factory = sqlite3.Row
cursor = conn.cursor()
cursor.execute(query)
rows = cursor.fetchall()
columns = [description[0] for description in cursor.description]
conn.close()
# Create document
doc = Document()
# Title
title_para = doc.add_heading(title, level=0)
title_para.alignment = WD_ALIGN_PARAGRAPH.CENTER
# Metadata
meta_para = doc.add_paragraph()
meta_para.alignment = WD_ALIGN_PARAGRAPH.CENTER
meta_para.add_run(f'Generated: {datetime.now().strftime("%Y-%m-%d %H:%M")}')
meta_para.add_run(f' | Records: {len(rows)}')
doc.add_paragraph() # Spacing
# Create table
if rows:
table = doc.add_table(rows=len(rows) + 1, cols=len(columns))
table.style = 'Table Grid'
# Headers
for i, col in enumerate(columns):
cell = table.rows[0].cells[i]
cell.text = col.replace('_', ' ').title()
cell.paragraphs[0].runs[0].bold = True
# Data
for row_idx, row in enumerate(rows, start=1):
for col_idx, col in enumerate(columns):
table.rows[row_idx].cells[col_idx].text = str(row[col])
else:
doc.add_paragraph('No records found.')
doc.save(output_path)
print(f"Report saved to {output_path}")
```
## Template-Based Document Generation
```python
"""
Generate documents by modifying a template.
"""
from docx import Document
from docx.shared import Pt
from typing import Dict, Any
from pathlib import Path
import re
def replace_placeholders(doc: Document, replacements: Dict[str, str]) -> None:
"""Replace {{placeholder}} patterns in document."""
# Process paragraphs
for para in doc.paragraphs:
for key, value in replacements.items():
placeholder = f'{{{{{key}}}}}'
if placeholder in para.text:
for run in para.runs:
if placeholder in run.text:
run.text = run.text.replace(placeholder, str(value))
# Process tables
for table in doc.tables:
for row in table.rows:
for cell in row.cells:
for para in cell.paragraphs:
for key, value in replacements.items():
placeholder = f'{{{{{key}}}}}'
if placeholder in para.text:
for run in para.runs:
if placeholder in run.text:
run.text = run.text.replace(placeholder, str(value))
def generate_from_template(
template_path: str,
output_path: str,
data: Dict[str, Any]
) -> None:
"""Generate document from template with data substitution."""
# Load template
doc = Document(template_path)
# Replace placeholders
replace_placeholders(doc, data)
# Save generated document
doc.save(output_path)
print(f"Generated document saved to {output_path}")
# Usage example
data = {
'client_name': 'Acme Corporation',
'date': '2026-01-17',
'contract_value': '$50,000',
'project_duration': '6 months',
'contact_person': 'John Smith'
}
# generate_from_template('contract_template.docx', 'acme_contract.docx', data)
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