Build Telegram bots for construction field workers. Real-time reporting, photo uploads, task assignments, progress tracking. Integrate with n8n for automated workflows.
npx skills add https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill telegram-field-bot
Field workers need simple tools. Telegram bots provide instant communication, photo sharing, and task management without training or app downloads.
> "Telegram for field ops: Real-time task assignment and status updates" — DDC Community
| Feature | Benefit |
|---------|---------|
| No training | Workers already use Telegram |
| Works offline | Messages sync when connected |
| Photos/videos | Easy visual documentation |
| Groups | Team coordination |
| Bots | Automated workflows |
| Free | No per-user licensing |
┌─────────────────────────────────────────────────────────────────┐
│ TELEGRAM FIELD BOT │
├─────────────────────────────────────────────────────────────────┤
│ │
│ Field Worker Bot n8n │
│ ──────────── ─── ─── │
│ │
│ 📱 Send photo ───▶ 🤖 Receive ───▶ ⚙️ Process │
│ 📝 Text report 📋 Parse 📊 Store │
│ 📍 Location 🏷️ Classify 📧 Notify │
│ ✅ Confirm 📈 Dashboard │
│ │
└─────────────────────────────────────────────────────────────────┘
1. Open Telegram, search @BotFather
2. Send /newbot
3. Name: "SiteReport Bot"
4. Username: "sitereport_company_bot"
5. Copy the API token
{
"workflow": "Telegram Field Reporting",
"nodes": [
{
"name": "Telegram Trigger",
"type": "Telegram",
"event": "message",
"token": "YOUR_BOT_TOKEN"
},
{
"name": "Parse Message",
"type": "Code",
"code": "Parse message type: text, photo, location"
},
{
"name": "Route by Type",
"type": "Switch",
"rules": ["photo", "text", "location", "command"]
},
{
"name": "Process Photo",
"type": "OpenAI Vision",
"prompt": "Describe this construction site photo. Identify: progress, issues, safety concerns."
},
{
"name": "Save to Database",
"type": "PostgreSQL",
"operation": "insert"
},
{
"name": "Confirm to User",
"type": "Telegram",
"action": "sendMessage",
"text": "✅ Report received! ID: {{report_id}}"
}
]
}
# /start - Welcome and instructions
# /report - Start daily report
# /photo - Upload site photo
# /issue - Report issue
# /progress - Update progress
# /weather - Log weather conditions
# /safety - Safety observation
# /help - Show commands
from telegram import Update, ReplyKeyboardMarkup
from telegram.ext import Application, CommandHandler, MessageHandler, filters, ContextTypes
import asyncio
# Bot token from BotFather
TOKEN = "YOUR_BOT_TOKEN"
# Keyboards
main_keyboard = ReplyKeyboardMarkup([
["📸 Photo Report", "📝 Text Report"],
["⚠️ Issue", "✅ Progress"],
["🌤️ Weather", "🦺 Safety"]
], resize_keyboard=True)
async def start(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Welcome message"""
await update.message.reply_text(
"👷 Site Report Bot\n\n"
"Use the buttons below to submit reports.\n"
"All reports are automatically logged and processed.",
reply_markup=main_keyboard
)
async def handle_photo(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Process photo submissions"""
photo = update.message.photo[-1] # Highest resolution
file = await photo.get_file()
# Download photo
photo_path = f"photos/{update.message.chat.id}_{photo.file_id}.jpg"
await file.download_to_drive(photo_path)
# Get caption (description)
caption = update.message.caption or "No description"
# Get location if available
location = None
if update.message.location:
location = {
"lat": update.message.location.latitude,
"lon": update.message.location.longitude
}
# Save to database (via n8n webhook or direct)
report = {
"type": "photo",
"user_id": update.message.from_user.id,
"username": update.message.from_user.username,
"photo_path": photo_path,
"caption": caption,
"location": location,
"timestamp": update.message.date.isoformat()
}
# Send to n8n for processing
# requests.post("https://n8n.company.com/webhook/photo-report", json=report)
await update.message.reply_text(
f"✅ Photo received!\n"
f"📝 Description: {caption}\n"
f"🕐 Time: {update.message.date.strftime('%H:%M')}\n\n"
"Photo will be analyzed and added to daily report."
)
async def handle_text(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Process text reports"""
text = update.message.text
# Route based on button pressed
if text == "📸 Photo Report":
await update.message.reply_text("📸 Send a photo of the site with a description.")
elif text == "📝 Text Report":
await update.message.reply_text("📝 Type your progress report:")
elif text == "⚠️ Issue":
await update.message.reply_text(
"⚠️ Describe the issue:\n"
"- What is the problem?\n"
"- Where is it located?\n"
"- How urgent? (High/Medium/Low)"
)
elif text == "✅ Progress":
await update.message.reply_text(
"✅ Update progress:\n"
"- What work was completed?\n"
"- Percentage complete?\n"
"- Any blockers?"
)
elif text == "🌤️ Weather":
await update.message.reply_text(
"🌤️ Weather conditions:\n"
"- Temperature?\n"
"- Conditions? (Clear/Rain/Snow/Wind)\n"
"- Impact on work?"
)
elif text == "🦺 Safety":
await update.message.reply_text(
"🦺 Safety observation:\n"
"- What did you observe?\n"
"- Location?\n"
"- Action taken?"
)
else:
# Regular text report
report = {
"type": "text",
"user_id": update.message.from_user.id,
"username": update.message.from_user.username,
"text": text,
"timestamp": update.message.date.isoformat()
}
await update.message.reply_text("✅ Report logged!")
def main():
"""Start the bot"""
app = Application.builder().token(TOKEN).build()
app.add_handler(CommandHandler("start", start))
app.add_handler(MessageHandler(filters.PHOTO, handle_photo))
app.add_handler(MessageHandler(filters.TEXT & ~filters.COMMAND, handle_text))
print("Bot started...")
app.run_polling()
if __name__ == "__main__":
main()
def generate_daily_report(project_id: str, date: str) -> str:
"""Aggregate all Telegram reports into daily summary"""
# Fetch all reports for the day
reports = db.query("""
SELECT * FROM telegram_reports
WHERE project_id = ? AND DATE(timestamp) = ?
ORDER BY timestamp
""", [project_id, date])
# Group by type
photos = [r for r in reports if r['type'] == 'photo']
issues = [r for r in reports if r['type'] == 'issue']
progress = [r for r in reports if r['type'] == 'progress']
# Generate summary with LLM
summary = llm.summarize(f"""
Daily reports for {date}:
Photos submitted: {len(photos)}
Issues reported: {len(issues)}
Progress updates: {len(progress)}
Details:
{json.dumps(reports, indent=2)}
Generate a concise daily report summary.
""")
return summary
# Track messages in project groups
async def handle_group_message(update: Update, context: ContextTypes.DEFAULT_TYPE):
"""Log important messages from project groups"""
# Only log messages with keywords
keywords = ["delay", "issue", "problem", "complete", "delivered", "inspection"]
text = update.message.text.lower()
if any(kw in text for kw in keywords):
log_message({
"group_id": update.message.chat.id,
"group_name": update.message.chat.title,
"user": update.message.from_user.username,
"text": update.message.text,
"timestamp": update.message.date.isoformat()
})
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Take datadrivenconstruction/telegram-field-bot from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference pip.
Without those the skill loads but fails at the first command.