tour-operations

tour-operations is a skill for Claude Code from kishorkukreja/awesome-supply-chain. It costs 87 tokens per session (7,094 once invoked), scanned A, original, MIT.

A guide to planning and running package tours, including itineraries, transport, accommodation, guides, suppliers, and departures. It is intended for tour operators and travel businesses.

In plain words
What is it for?
Building tour packages, organizing group travel, allocating resources, coordinating logistics, and improving tour operations.
Why use it?
It helps coordinate many moving parts while considering costs, capacity, timing, and customer needs. It brings operational decisions into one planning process.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the supply-chain-skills plugin — 133 skills shipped together , and of supply-chain-skills

Good fit Building tour packages, organizing group travel, allocating resources, coordinating logistics, and improving tour operations.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kishorkukreja/awesome-supply-chain/tour-operations
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add kishorkukreja/awesome-supply-chain --skill tour-operations
Clone the repo
git clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chain

Made for: Claude Code.

Or install supply-chain-skills, the plugin that ships this one along with the rest of its 133 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for tour-operations

README.md
[![agentmods](https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/tour-operations/github.svg)](https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/tour-operations)
Your own site
<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/tour-operations"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/tour-operations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for tour-operations

Your own site · 80×15
<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/tour-operations"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/tour-operations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,094 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.07094
Opus 5 $0.00044 $0.03547
Sonnet 5 $0.00017 $0.01419
Haiku 4.5 $0.00009 $0.00709

Measured 9d ago against content hash 54ea04b657e2, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

tour-operations scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/tour-operations/SKILL.md · 900 lines

How it starts

The opening of the file, as written. The whole thing — 900 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Tour Operations

You are an expert in tour operations and package travel management. Your goal is to help optimize tour planning, package construction, resource allocation, and operational logistics for tour operators, ensuring profitability while delivering excellent customer experiences.

Initial Assessment

Before optimizing tour operations, understand:

  1. Tour Operator Profile

    • Operator type? (inbound, outbound, ground handler, DMC)
    • Market segments? (adventure, luxury, budget, cultural, special interest)
    • Geographic focus? (domestic, regional, international)
    • Business model? (retail, wholesale, B2B, B2C)
  2. Tour Portfolio

    • Tour types? (escorted, independent, FIT, SIT, GIT)
    • Duration range? (day tours, multi-day, extended)
    • Number of active tours and departures?
    • Seasonal vs. year-round operation?
  3. Resource Constraints

    • Transportation fleet? (owned, leased, contracted)
    • Guide availability and languages?
    • Hotel and accommodation contracts?
    • Supplier relationships?
  4. Objectives & Challenges

    • Primary goals? (profitability, market share, customer satisfaction)
    • Current pain points? (utilization, costs, operations)
    • Technology systems? (booking, operations, CRM)
    • Competitive positioning?

Tour Operations Framework

Tour Package Components

Transportation:

  • Motorcoach/bus
  • Trains
  • Flights (group bookings)
  • Transfers and private vehicles
  • Ferries and boats

Accommodation:

  • Hotels (groups, series, allotments)
  • Resorts
  • Alternative (hostels, B&B, apartments)

Attractions & Activities:

  • Guided tours and excursions
  • Entrance fees
  • Activities and experiences
  • Meals and dining

Services:

  • Tour guides and tour directors
  • Local guides
  • Transfers
  • Porter services

Tour Package Pricing & Profitability

Cost-Plus Pricing Model

import numpy as np
import pandas as pd

class TourPackagePricing:
    """
    Calculate tour package costs and optimal pricing
    """

    def __init__(self, tour_name, duration_days, max_pax):
        self.tour_name = tour_name
        self.duration = duration_days
        self.max_pax = max_pax

    def calculate_tour_cost(self, components):
        """
        Calculate total tour cost per passenger

        Components include:
        - Hotels (per room per night)
        - Transportation (fixed + per km)
        - Meals (per meal per person)
        - Attractions (per person)
        - Guide (per day)
        - Other (insurance, tips, etc.)
        """

        # Per-passenger costs
        per_pax_cost = {
            'accommodation': 0,
            'meals': 0,
            'attractions': 0,
            'guide_services': 0,
            'transportation': 0,
            'other': 0
        }

        # Accommodation cost (assume double occupancy)
        hotels = components['hotels']
        for hotel in hotels:
            cost_per_room = hotel['rate_per_night'] * hotel['nights']
            per_pax_cost['accommodation'] += cost_per_room / 2  # Double occupancy

        # Meals
        meals = components['meals']
        per_pax_cost['meals'] = (
            meals['breakfasts'] * meals['breakfast_cost'] +
            meals['lunches'] * meals['lunch_cost'] +
            meals['dinners'] * meals['dinner_cost']
        )

        # Attractions and entrance fees
        for attraction in components['attractions']:
            per_pax_cost['attractions'] += attraction['cost_per_person']

        # Fixed costs allocated per passenger (at full capacity)
        # Transportation
        transport = components['transportation']
        total_transport_cost = (
            transport['fixed_cost'] +
            transport['distance_km'] * transport['cost_per_km'] +
            transport['driver_cost_per_day'] * self.duration
        )
        per_pax_cost['transportation'] = total_transport_cost / self.max_pax

        # Guide services
        guide_cost_total = components['guide']['cost_per_day'] * self.duration
        per_pax_cost['guide_services'] = guide_cost_total / self.max_pax

        # Other costs
        per_pax_cost['other'] = components.get('other_per_pax', 0)

        return per_pax_cost

    def calculate_breakeven_price(self, per_pax_cost, overhead_percentage=0.15):
        """
        Calculate breakeven price including overhead
        """
        total_direct_cost = sum(per_pax_cost.values())
        overhead = total_direct_cost * overhead_percentage
        breakeven = total_direct_cost + overhead

        return breakeven

    def calculate_selling_price(self, breakeven_price, margin_percentage=0.25,
                               single_supplement_pct=0.30):
        """
        Calculate selling prices with desired margin

        Parameters:
        - margin_percentage: target profit margin
        - single_supplement_pct: additional charge for single occupancy
        """

        # Base selling price (double occupancy)
        base_price = breakeven_price / (1 - margin_percentage)

        # Single occupancy price (pays for full room)
        single_price = base_price * (1 + single_supplement_pct)

        # Child price (if applicable)
        child_price = base_price * 0.75  # 25% discount

        return {
            'double_occupancy': base_price,
            'single_occupancy': single_price,
            'child': child_price,
            'margin_percentage': margin_percentage,
            'margin_amount': base_price - breakeven_price
        }

    def calculate_tour_profitability(self, selling_price, actual_pax,
                                    pax_mix={'double': 20, 'single': 4, 'child': 2}):
        """
        Calculate tour profitability for given passenger mix
        """

        # Revenue
        revenue = (
            pax_mix['double'] * selling_price['double_occupancy'] +
            pax_mix['single'] * selling_price['single_occupancy'] +
            pax_mix['child'] * selling_price['child']
        )

        # Recalculate costs for actual passenger count
        total_pax = sum(pax_mix.values())

        # Variable costs scale with actual pax
        # Fixed costs remain the same

        # Simplified profitability
        total_cost = self.calculate_breakeven_price(self.calculate_tour_cost(components)) * total_pax

        profit = revenue - total_cost
        profit_margin = profit / revenue if revenue > 0 else 0

        return {
            'total_revenue': revenue,
            'total_cost': total_cost,
            'gross_profit': profit,
            'profit_margin': profit_margin,
            'revenue_per_pax': revenue / total_pax,
            'cost_per_pax': total_cost / total_pax
        }

# Example tour costing
tour = TourPackagePricing("European Highlights", duration_days=7, max_pax=45)

components = {
    'hotels': [
        {'city': 'Paris', 'rate_per_night': 120, 'nights': 2},
        {'city': 'Rome', 'rate_per_night': 100, 'nights': 2},
        {'city': 'Barcelona', 'rate_per_night': 110, 'nights': 2},
    ],
    'meals': {
        'breakfasts': 7, 'breakfast_cost': 15,
        'lunches': 4, 'lunch_cost': 20,
        'dinners': 6, 'dinner_cost': 35
    },
    'attractions': [
        {'name': 'Eiffel Tower', 'cost_per_person': 25},
        {'name': 'Colosseum', 'cost_per_person': 30},
        {'name': 'Sagrada Familia', 'cost_per_person': 35},
    ],
    'transportation': {
        'fixed_cost': 5000,  # Bus rental
        'distance_km': 2500,
        'cost_per_km': 1.5,
        'driver_cost_per_day': 200
    },
    'guide': {
        'cost_per_day': 300
    },
    'other_per_pax': 50  # Insurance, tips, etc.
}

per_pax_cost = tour.calculate_tour_cost(components)
breakeven = tour.calculate_breakeven_price(per_pax_cost)
selling_price = tour.calculate_selling_price(breakeven, margin_percentage=0.25)

print(f"Breakeven price: ${breakeven:.2f}")
print(f"Selling price (double occupancy): ${selling_price['double_occupancy']:.2f}")
print(f"Margin: ${selling_price['margin_amount']:.2f} ({selling_price['margin_percentage']:.1%})")

Read the full file on GitHub · 900 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 9d ago First seen · 900 lines · 87 tokens per session scan A 54ea04b657e2

Subscribe to this mod's changes

tour-operations is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 87 tokens to every session and 7,094 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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