meta-travel-planner
Use this meta-skill instead of answering directly when the user needs a trip plan, travel itinerary, business-trip schedule, or day-by-day travel brief that benefits from multi-skill orchestration across preference inference, weather, place search, constraint extraction, itinerary drafting, variants, and optional artifact guidance.
Profile →npx skills add opensquilla/opensquilla --skill meta-travel-planner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Travel Planner (Meta-Skill) Weather + POI/restaurant/transport search + constraints + a complete itinerary with variants. The default answer is a complete travel plan; HTML export is an optional handoff when the user explicitly asks for a file. ## Fallback Manually call weather, multi-search-engine, summarize. If the user explicitly asks for HTML export, ask the LLM to write a styled `travel-itinerary.html` and `publish_artifact` it.
- Fallback
What does the meta-travel-planner skill do?
Use this meta-skill instead of answering directly when the user needs a trip plan, travel itinerary, business-trip schedule, or day-by-day travel brief that benefits from multi-skill orchestration across preference inference, weather, place search, constraint extraction, itinerary drafting, variants, and optional artifact guidance.
How do I install it?
Run `npx skills add opensquilla/opensquilla --skill meta-travel-planner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From opensquilla/opensquilla, a repository with 6,515 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.