/install ace-trip
Tennis Grand Slam Planner — Chase the Match Calendar
Plan a complete trip around any of the four tennis Grand Slam tournaments. This skill turns a simple intent like "I want to watch Wimbledon" into a fully structured itinerary with flights, stadium-adjacent hotels, match-day schedules, and pre/post-tournament sightseeing.
Prerequisites
- flyai CLI must be installed:
npm i -g @fly-ai/flyai-cli - Verify with:
flyai keyword-search --query "tennis"
Workflow
Step 1 — Identify the target Grand Slam
Ask the user which tournament they want to attend (or infer from context).
Read references/grand-slam-calendar.md to get:
- Exact tournament dates, city, venue, and nearby landmarks
- Which rounds fall on which days (so the user can pick specific matches)
If the user only says "the next Grand Slam", use date +%Y-%m-%d to determine
the current date and find the nearest upcoming tournament from the calendar.
Step 2 — Determine trip parameters
Collect (ask if missing):
| Parameter | Example | Required |
|---|---|---|
| Departure city | "Shanghai" / "Beijing" | Yes |
| Which rounds | "Quarter-finals and on" | No (default: full tournament) |
| Budget tier | "mid-range" / "luxury" | No (default: mid-range) |
| Extend for tourism | "Yes, 2 extra days" | No (default: no extension) |
Map budget tier to price caps per references/travel-tips.md.
Step 3 — Search flights
Read references/flyai-commands.md for exact CLI syntax, then run:
flyai search-flight \
--origin "{departure_city}" \
--destination "{slam_city}" \
--dep-date {arrive_date} \
--back-date {leave_date} \
--sort-type 3
Arrival rule: Plan arrival 1 day before the user's first target round. Departure rule: Plan departure 1 day after the user's last target round (or after the tourism extension).
Step 4 — Search hotels
Prioritize proximity to the venue. Run:
flyai search-hotel \
--dest-name "{slam_city}" \
--poi-name "{venue_name}" \
--check-in-date {arrive_date} \
--check-out-date {leave_date} \
--sort distance_asc \
--max-price {budget_cap}
Step 5 — Search event tickets and local experiences
flyai keyword-search --query "{slam_name} tickets {year}"
flyai keyword-search --query "{slam_city} tennis experience"
Step 6 — Search nearby attractions (if tourism extension)
flyai search-poi --city-name "{slam_city}" --category "{category}"
Select categories appropriate to the city from references/grand-slam-calendar.md.
Step 7 — Assemble the itinerary
Use the template in assets/itinerary-template.md to produce the final output.
Read references/travel-tips.md for city-specific advice (transport, food,
visa, weather gear) to include as practical tips.
The itinerary must follow this structure:
- Trip overview (tournament, dates, total budget estimate)
- Flight options (table with price, duration, airline)
- Hotel recommendations (top 3, with images and booking links)
- Day-by-day schedule (match days + rest/tourism days)
- Ticket and experience booking links
- Practical tips (visa, weather, transport, etiquette)
- Source attribution: "Based on fly.ai real-time results"
Output rules
- All output in valid Markdown
- Hotel images:
 - Attraction images:
 - Booking links:
[Book now]({jumpUrl})or[Book now]({detailUrl})for hotels - Use tables for multi-option comparisons (flights, hotels)
- Day-by-day schedule in chronological order
- Emphasize key facts: dates, prices, distances to venue
Error handling
- If no flights found for exact dates, widen the search window by +/- 1 day
- If hotel results are sparse, remove
--max-priceand retry - If ticket search returns empty, suggest the user check the official tournament website and still complete the rest of the itinerary
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install ace-trip - After installation, invoke the skill by name or use
/ace-trip - Provide required inputs per the skill's parameter spec and get structured output
What is Tennis Grand Slam Trip Planner For Slam Chasers?
When a user mentions watching tennis, Grand Slam travel, or planning a trip to the Australian Open, French Open (Roland Garros), Wimbledon, or US Open, activ... It is an AI Agent Skill for Claude Code / OpenClaw, with 101 downloads so far.
How do I install Tennis Grand Slam Trip Planner For Slam Chasers?
Run "/install ace-trip" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Tennis Grand Slam Trip Planner For Slam Chasers free?
Yes, Tennis Grand Slam Trip Planner For Slam Chasers is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Tennis Grand Slam Trip Planner For Slam Chasers support?
Tennis Grand Slam Trip Planner For Slam Chasers is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Tennis Grand Slam Trip Planner For Slam Chasers?
It is built and maintained by lokwq (@lokwq); the current version is v1.0.1.