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generate-tour-report

pjt222
更新于 2 days ago
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pdfwordaidesign

关于

This skill generates a formatted tour report as a self-contained Quarto document, producing HTML or PDF outputs with embedded maps, daily itineraries, and logistics tables. It's designed for compiling planned or completed trips into shareable, offline-accessible guides or professional proposals. Developers can use it to automate the creation of detailed travel documentation containing photos, statistics, and practical details.

快速安装

Claude Code

推荐
主要方式
npx skills add pjt222/agent-almanac -a claude-code
插件命令备选方式
/plugin add https://github.com/pjt222/agent-almanac
Git 克隆备选方式
git clone https://github.com/pjt222/agent-almanac.git ~/.claude/skills/generate-tour-report

在 Claude Code 中复制并粘贴此命令以安装该技能

技能文档

Generate Tour Report

Make formatted tour report. Embedded maps, daily itineraries, logistics tables, practical travel info.

When Use

  • Compile planned tour into shareable document
  • Make offline-accessible travel guide
  • Document completed trip with photos, maps, stats
  • Make professional tour proposal for group or client
  • Consolidate route, accommodation, transport data into one doc

Inputs

  • Required: Route data (waypoints, legs, distances, times)
  • Required: Tour dates + duration
  • Optional: Accommodation details (name, address, confirmation numbers)
  • Optional: Transport bookings (flights, trains, car rental)
  • Optional: GPX tracks or spatial data for map embedding
  • Optional: Budget info (costs per category)
  • Optional: Photos or images to include

Steps

Step 1: Compile Route + POI Data

Gather all tour data into structured format before building report.

Data Sources to Compile:
┌────────────────────┬──────────────────────────────────────────┐
│ Category           │ Required Fields                          │
├────────────────────┼──────────────────────────────────────────┤
│ Route legs         │ From, To, distance_km, time_hrs, mode   │
│ Waypoints          │ Name, lat, lon, arrival, departure, notes│
│ Accommodation      │ Name, address, check-in/out, cost, conf#│
│ Transport          │ Type, operator, depart, arrive, ref#     │
│ Activities         │ Name, time, duration, cost, booking_req  │
│ Emergency contacts │ Local emergency #, embassy, insurance    │
│ POIs               │ Name, category, lat, lon, description    │
└────────────────────┴──────────────────────────────────────────┘

Organize data by day for daily section structure:

  1. Group waypoints + activities by date
  2. Assign each transport leg to day
  3. Match accommodations to overnight dates
  4. Compute daily totals (distance, time, cost)

Got: Complete data collection organized by day, no schedule gaps (every night has accommodation, every leg has transport).

If fail: Data incomplete? Mark missing with [TBD] + add to follow-up checklist at report end. Dates don't align (arrival at accommodation before departure from previous stop)? Flag + adjust times.

Step 2: Structure Daily Sections

Make Quarto document skeleton with daily sections.

---
title: "Tour Name: Region/Country"
subtitle: "Date Range"
author: "Planner Name"
date: today
format:
  html:
    toc: true
    toc-depth: 3
    theme: cosmo
    self-contained: true
    code-fold: true
  pdf:
    documentclass: article
    geometry: margin=2cm
    toc: true
execute:
  echo: false
  warning: false
  message: false
---

Structure document:

Report Structure:
1. Overview
   - Tour summary (dates, total distance, highlights)
   - Overview map (all waypoints, full route)
   - Quick reference table (key dates, bookings, contacts)

2. Day 1: [Title]
   - Day summary (start, end, km, hours)
   - Route map for the day
   - Timeline / schedule table
   - Accommodation details
   - POIs and activities

3. Day 2: [Title]
   ... (repeat for each day)

N. Logistics Appendix
   - Full accommodation table
   - Transport bookings table
   - Packing checklist
   - Emergency contacts
   - Budget summary

Got: Complete .qmd file skeleton with YAML header, all daily sections as H2 headings, placeholder content.

If fail: Tour too long for single doc (more than 14 days)? Split weekly parts or tabset layout ({.tabset}). PDF output required? No interactive widgets (static maps).

Step 3: Embed Maps + Charts

Add spatial visualizations to each section.

Overview map:

#| label: fig-overview-map
#| fig-cap: "Tour overview with all stops"

leaflet::leaflet() |>
  leaflet::addProviderTiles("OpenTopoMap") |>
  leaflet::addPolylines(data = full_route, color = "#2563eb", weight = 3) |>
  leaflet::addMarkers(data = stops, popup = ~paste(name, "<br>", date))

Daily route map:

#| label: fig-day1-map
#| fig-cap: "Day 1 route: City A to City B"

day1_route <- full_route[full_route$day == 1, ]
leaflet::leaflet() |>
  leaflet::addProviderTiles("OpenStreetMap") |>
  leaflet::addPolylines(data = day1_route, color = "#2563eb", weight = 4) |>
  leaflet::addCircleMarkers(data = day1_stops, radius = 6, popup = ~name)

Elevation profile (for hiking/cycling days):

#| label: fig-day3-elevation
#| fig-cap: "Day 3 elevation profile"

ggplot2::ggplot(day3_elevation, ggplot2::aes(x = dist_km, y = elev_m)) +
  ggplot2::geom_area(fill = "#bfdbfe", alpha = 0.5) +
  ggplot2::geom_line(color = "#1d4ed8", linewidth = 0.7) +
  ggplot2::theme_minimal() +
  ggplot2::labs(x = "Distance (km)", y = "Elevation (m)")

Got: Each daily section has at least route map. Multi-modal days (driving + hiking) → road map + elevation profile. Overview section has map showing complete tour.

If fail: Leaflet maps fail to render (common in PDF mode)? Fall back to static maps via tmap::tmap_mode("plot") or ggplot2 with ggspatial::annotation_map_tile(). Spatial data unavailable for day → simple text description instead.

Step 4: Add Logistics Tables

Insert structured tables for accommodations, transport, budget.

Accommodation table:

| Night | Date       | Accommodation      | Address            | Check-in | Cost   | Conf# |
|-------|------------|--------------------|--------------------|----------|--------|-------|
| 1     | 2025-07-01 | Hotel Alpine       | Bergstrasse 12     | 15:00    | EUR 95 | AB123 |
| 2     | 2025-07-02 | Mountain Hut       | Zugspitze Huette   | 16:00    | EUR 45 | --    |
| 3     | 2025-07-03 | Pension Edelweiss  | Dorfplatz 3        | 14:00    | EUR 72 | CD456 |

Transport table:

| Date       | Type  | From          | To            | Depart | Arrive | Ref#   |
|------------|-------|---------------|---------------|--------|--------|--------|
| 2025-07-01 | Train | Munich Hbf    | Garmisch      | 08:15  | 09:32  | DB1234 |
| 2025-07-03 | Bus   | Zugspitze     | Ehrwald        | 10:00  | 10:25  | --     |
| 2025-07-04 | Train | Innsbruck     | Munich Hbf    | 16:45  | 18:30  | OBB567 |

Budget summary:

| Category        | Estimated | Actual | Notes                   |
|-----------------|-----------|--------|-------------------------|
| Accommodation   | EUR 212   |        | 3 nights                |
| Transport       | EUR 85    |        | Rail passes recommended |
| Food            | EUR 150   |        | EUR 50/day estimate     |
| Activities      | EUR 60    |        | Cable car, museum       |
| **Total**       | **EUR 507** |      |                         |

Got: Complete logistics tables with all bookings listed chronologically. No missing dates in accommodation table. Budget totals correct.

If fail: Booking details not confirmed? Use [TBD] + highlight row. Tour involves multiple currencies? Add currency column + exchange rates in footnote.

Step 5: Render Report

Compile Quarto document into final output format.

# Render to self-contained HTML (best for offline use)
quarto render tour-report.qmd --to html

# Render to PDF (for printing)
quarto render tour-report.qmd --to pdf

# Preview with live reload during editing
quarto preview tour-report.qmd

Post-rendering checks:

  1. Open HTML file + verify all maps load correctly
  2. Test table of contents links work
  3. Verify all images + charts render at appropriate sizes
  4. Check self-contained HTML works offline (disconnect + reload)
  5. PDF: verify page breaks at logical points (between days)

Got: Complete, self-contained document works offline, contains all tour info in navigable format.

If fail: Rendering fails? Check R console for package errors (missing sf, leaflet, ggplot2). Self-contained HTML too large (over 20 MB)? Reduce map tile resolution or use PNG screenshots. PDF rendering fails with LaTeX errors? Install TinyTeX with quarto install tinytex.

Checks

  • Report renders no errors in target format
  • Overview map shows complete route with all stops
  • Each day has route map + schedule
  • Accommodation table covers every night of trip
  • Transport table includes all legs
  • Budget totals accurate
  • Self-contained HTML works offline
  • Table of contents navigates correct to all sections
  • No [TBD] placeholders remain (or intentionally flagged)

Pitfalls

  • Interactive maps in PDF: Leaflet + HTML widgets can't render in PDF. Always provide static map alternatives for PDF output.
  • Oversized self-contained HTML: Embedding many map tiles → huge files. Limit zoom levels or static map screenshots for tile-heavy maps.
  • Missing time zones: International tours cross time zones. Always specify time zone for departure + arrival.
  • Stale booking references: Confirmation numbers + times can change. Include "last updated" date + remind users verify before travel.
  • No offline fallback: Report relies on web-loaded map tiles → blank offline. Use self-contained: true or pre-render maps as images.
  • Inconsistent date formats: Mix of DD/MM + MM/DD → confusion. Use ISO 8601 (YYYY-MM-DD) consistently.

See Also

  • plan-tour-route — generates route data compiled into this report
  • create-spatial-visualization — creates maps + charts embedded in report
  • create-quarto-report — general Quarto document creation + config
  • plan-hiking-tour — hiking-specific data for mountain tour reports
  • check-hiking-gear — packing checklists for logistics appendix

GitHub 仓库

pjt222/agent-almanac
路径: i18n/caveman/skills/generate-tour-report
0
agentsagentskillsai-assisted-developmentclaude-codeskillsteams

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