agentsclimarketplace

Template engine

Skill ComeOnOliver/skillshub/skills/TerminalSkills/skills/template-engine

🧠 The right skill, one API call. AI agent skills registry with token-efficient skill resolution. 5,000+ skills from 500+ top repos.From the repository description

Install
npx -y skills add ComeOnOliver/skillshub --skill template-engine

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

SKILL.md

7.0 KB, ~1.7k tokens by cl100k_base, as published. Nobody here has run it

Template Engine

Overview

Auto-fill document templates with data from spreadsheets, databases, or JSON. Supports mail merge for any format: DOCX, PDF, HTML, Markdown, and plain text. Generate hundreds of personalized documents from a single template and data source.

Instructions

When a user needs template-based document generation, determine the format and approach:

Task A: DOCX template filling with python-docx-template

  1. Install the library:
pip install docxtpl openpyxl
  1. Create a DOCX template with Jinja2 placeholders:

    • Use {{ variable }} for simple values
    • Use {% for item in items %}...{% endfor %} for loops
    • Use {% if condition %}...{% endif %} for conditionals
  2. Fill the template:

from docxtpl import DocxTemplate
import json

def fill_docx_template(template_path: str, data: dict, output_path: str):
    doc = DocxTemplate(template_path)
    doc.render(data)
    doc.save(output_path)

# Single document
data = {
    "client_name": "Acme Corp",
    "date": "2025-01-15",
    "items": [
        {"description": "Consulting", "amount": 5000},
        {"description": "Development", "amount": 12000},
    ],
    "total": 17000
}
fill_docx_template("invoice_template.docx", data, "invoice_acme.docx")
  1. Bulk generation from CSV:
import csv
from docxtpl import DocxTemplate

def mail_merge_docx(template_path: str, csv_path: str, output_dir: str):
    with open(csv_path) as f:
        rows = list(csv.DictReader(f))

    for i, row in enumerate(rows):
        doc = DocxTemplate(template_path)
        doc.render(row)
        filename = f"{output_dir}/{row.get('name', i)}.docx"
        doc.save(filename)
        print(f"Generated: {filename}")

    print(f"Created {len(rows)} documents")

mail_merge_docx("letter_template.docx", "contacts.csv", "./output")

Task B: HTML/Markdown templates with Jinja2

from jinja2 import Environment, FileSystemLoader
import csv

env = Environment(loader=FileSystemLoader("./templates"))
template = env.get_template("report.html")

with open("data.csv") as f:
    rows = list(csv.DictReader(f))

for row in rows:
    html = template.render(**row)
    output_file = f"./output/{row['id']}_report.html"
    with open(output_file, "w") as out:
        out.write(html)

Example Jinja2 template (templates/report.html):

<!DOCTYPE html>
<html>
<head><title>Report for {{ company_name }}</title></head>
<body>
  <h1>Monthly Report: {{ company_name }}</h1>
  <p>Period: {{ start_date }} to {{ end_date }}</p>
  <table>
    <tr><th>Metric</th><th>Value</th></tr>
    {% for metric in metrics %}
    <tr><td>{{ metric.name }}</td><td>{{ metric.value }}</td></tr>
    {% endfor %}
  </table>
</body>
</html>

Task C: PDF generation from templates

from jinja2 import Environment, FileSystemLoader
import pdfkit  # requires wkhtmltopdf installed

def generate_pdf_from_template(template_name: str, data: dict, output: str):
    env = Environment(loader=FileSystemLoader("./templates"))
    template = env.get_template(template_name)
    html = template.render(**data)
    pdfkit.from_string(html, output, options={"page-size": "A4", "encoding": "UTF-8"})

# Alternative: use weasyprint (pure Python, no external deps)
# pip install weasyprint
from weasyprint import HTML

def generate_pdf_weasyprint(template_name: str, data: dict, output: str):
    env = Environment(loader=FileSystemLoader("./templates"))
    template = env.get_template(template_name)
    html_content = template.render(**data)
    HTML(string=html_content).write_pdf(output)

Task D: Plain text templates (emails, notifications)

from string import Template
import csv

def text_mail_merge(template_str: str, csv_path: str) -> list[str]:
    template = Template(template_str)
    results = []
    with open(csv_path) as f:
        for row in csv.DictReader(f):
            results.append(template.safe_substitute(row))
    return results

# Usage
email_template = """Dear $name,

Thank you for your order #$order_id placed on $date.
Your total is $$amount.

Best regards,
The Team"""

messages = text_mail_merge(email_template, "orders.csv")
for msg in messages:
    print(msg)
    print("---")

Examples

Example 1: Generate personalized offer letters

User request: "Create 50 offer letters from a template and employee spreadsheet"

from docxtpl import DocxTemplate
import csv

with open("new_hires.csv") as f:
    hires = list(csv.DictReader(f))

for hire in hires:
    doc = DocxTemplate("offer_letter_template.docx")
    doc.render({
        "candidate_name": hire["name"],
        "position": hire["role"],
        "salary": f"${int(hire['salary']):,}",
        "start_date": hire["start_date"],
        "manager": hire["manager"]
    })
    doc.save(f"./offers/offer_{hire['name'].replace(' ', '_')}.docx")

print(f"Generated {len(hires)} offer letters in ./offers/")

Example 2: Invoice generation from JSON data

User request: "Generate PDF invoices for all clients in our billing data"

from jinja2 import Environment, FileSystemLoader
from weasyprint import HTML
import json

with open("billing.json") as f:
    clients = json.load(f)

env = Environment(loader=FileSystemLoader("./templates"))
template = env.get_template("invoice.html")

for client in clients:
    client["total"] = sum(item["amount"] for item in client["line_items"])
    html = template.render(**client)
    HTML(string=html).write_pdf(f"./invoices/invoice_{client['id']}.pdf")

print(f"Generated {len(clients)} invoices")

Example 3: Bulk email content from a spreadsheet

User request: "Create personalized email bodies for 200 contacts from a CSV"

from jinja2 import Environment, BaseLoader
import csv

template_str = """Hi {{ first_name }},

I noticed {{ company }} recently {{ trigger_event }}. We help companies
like yours with {{ pain_point }}.

Would you have 15 minutes this week to discuss?

Best,
{{ sender_name }}"""

env = Environment(loader=BaseLoader())
template = env.from_string(template_str)

with open("contacts.csv") as f:
    contacts = list(csv.DictReader(f))

for contact in contacts:
    email_body = template.render(**contact)
    with open(f"./emails/{contact['email']}.txt", "w") as out:
        out.write(email_body)

print(f"Generated {len(contacts)} email drafts")

Guidelines

  • Always validate data before rendering templates. Check for missing required fields.
  • Use safe_substitute or Jinja2's default filter to handle missing values gracefully: {{ name | default("Valued Customer") }}.
  • Preview the first 2-3 generated documents before running a full batch.
  • Keep templates in version control separate from data files.
  • For DOCX templates, test with complex formatting (tables, images, headers) early since not all features are supported.
  • Sanitize user-provided data to prevent template injection in HTML output.
  • Use consistent naming for output files that includes a unique identifier.
  • For large batches (1000+ documents), process in chunks and report progress.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.