Install
openclaw skills install @indigokarasu/ocas-voyageTravel planning, itinerary construction, reservation management, lodging search, and flight search. Parallel lodging search across Expedia, Marriott Bonvoy, Marriott AI, Google Hotels, 1Stay, and HotelsByDay (day-use rooms). Flight search via Google Flights. Uses Sift for destination research and optionally GoPlaces for location enrichment. HotelOracle (Google Hotels) used for price trends, area guides, and price comparison research. NOT for generic travel inspiration, visa advice, or points-only optimization.
openclaw skills install @indigokarasu/ocas-voyageWhen invoked interactively, present a two-level menu. See references/interactive-menu.md for the full menu structure.
Voyage builds complete, constraint-aware travel itineraries — taking a destination, dates, budget, dietary preferences, and pace, then assembling lodging, dining, and activity recommendations into a logistics-optimized plan that is ready for reservation without auto-booking anything. It never presents uncertain operating hours or availability as confirmed fact, and surfaces cost implications throughout so the plan remains honest about what it actually knows.
Voyage owns travel planning, itinerary construction, and reservation management.
Voyage does not own: web research (Sift), preference persistence (Taste), communications (Dispatch).
When the user needs lodging recommendations, all configured sources fire in parallel. Results are merged into a unified comparison table.
| Source | Provides | Requires |
|---|---|---|
| Expedia web | Hotel/package search, total-cost breakdown | None — always available |
| Marriott Strider MCP | Real Bonvoy inventory, award nights, elite upgrades, mobile key | mcp-marriott installed + configured (profile marriott MCP server) + Bonvoy OAuth login (login tool or MARRIOTT_EMAIL/MARRIOTT_PASSWORD env) |
| Marriott AI / FlyAI | — | |
| Google Hotels | Structured results table (price/rating/amenities), search-only | agent-browser CLI |
| 1Stay | Real hotel booking with confirmation numbers, loyalty program eligible, 300K+ properties in 140+ countries. Full lifecycle: search → details → book → lookup/cancel | MCP connector 1stay configured (Streamable HTTP) + Bearer API key for booking |
| HotelOracle | Price trends (calendar), area guides, cross-site price comparison, nearby attractions — research enrichment only, no booking | Direct Streamable HTTP: https://tooloracle.io/hotel/mcp/ (free tier, no key); configured as profile hoteloracle MCP server |
| HotelsByDay | Day-use rooms (10AM–5PM) and work passes — unique vertical not on other platforms. Python harness: scripts/hotelsbyday_search.py. Also night stays (beta, limited inventory) | No credentials required; uses web harness |
| LetsFG | Flight + hotel search with real booking (real PNR / confirmation); free-cancellation pay-later hotel rates, 5%-now/rest-to-hotel | letsfg auth card-on-file token (nothing charged); see references/letsfg.md |
| Sift | Destination info, activities, local knowledge, anything platforms don't cover | Sift skill installed |
Results ranked by: total real cost → loyalty/points value → cancellation flexibility → location fit.
See references/lodging-sources.md for per-source patterns and failure modes.
GoPlaces cooperation (optional): If ocas-goplaces is installed, Voyage calls it to resolve ambiguous location input before search (geocoding, distance checks, neighborhood context). If not installed, Voyage surfaces unresolved location ambiguity to the user rather than guessing. Voyage checks for GoPlaces at runtime using the platform skill registry.
Total cost rule: Always surface headline price + taxes + mandatory fees + cancellation flexibility before recommending. Never present a listing price as booking-final. See references/total-cost.md.
Booking gate rule: Never present an option as "ready to book" without: price re-check complete, cancellation terms stated, and explicit user approval. See references/booking-gates.md.
When the user needs flight options, Voyage uses the fli library to query Google Flights data directly. No API key or browser required.
LetsFG (booking-capable complement): For the broadest price scan (budget carriers, OTAs, stable repeat pricing) and actual booking without OTA checkout redirects — flights and free-cancellation pay-later hotels — use LetsFG (pip install letsfg, one-time letsfg auth card-on-file setup, nothing charged; NEVER use letsfg register/setup-payment, those create a paid Developer API billing account). Hotel bookings carry a 5% non-refundable reservation fee. Run fli first (no credentials); add LetsFG results when a token exists or the task involves booking. See references/letsfg.md.
For quick searches, use the bundled script:
$HERMES_PY ~/.hermes/skills/ocas-voyage/scripts/flight_search.py SFO JFK 2026-06-16
$HERMES_PY ~/.hermes/skills/ocas-voyage/scripts/flight_search.py SFO LGA 2026-06-16 SFO 2026-06-18 --limit 5
See references/flight-search.md for the full fli API calling convention (including common pitfalls) and references/flights.md for date search, multi-airport, and multi-city patterns.
Voyage works with these types from spec-ocas-ontology.md:
Voyage maintains its own trip and itinerary state in {agent_root}/commons/data/ocas-voyage/. Entity observations are recorded in journal outputs for downstream Chronicle ingestion.
voyage.plan.trip — create a full trip plan from destination, dates, and constraintsvoyage.recommend.lodging — parallel lodging search across Expedia, Marriott Strider, Marriott AI, Google Hotels, 1Stay, and HotelsByDay (day-use rooms). HotelOracle used for price calendar and cross-site comparison research. Returns unified comparison table with total-cost breakdown and booking-gate summary.voyage.recommend.flights — search Google Flights for one-way, round-trip, multi-city, or date-range queries. Returns structured flight options with pricing, timing, and airline details.voyage.recommend.food — restaurant recommendations based on route and preferencesvoyage.recommend.activities — activity recommendations based on interests and logisticsvoyage.optimize.itinerary — optimize an existing itinerary for feasibility and logisticsvoyage.status — current plan state, pending reservations, open decisionsvoyage.journal — write journal for the current run; called at end of every runvoyage.update — pull latest from GitHub source; preserves journals and dataThe Voyage pipeline follows: research → search → compare → recommend → persist.
After every Voyage command:
decisions.jsonlvoyage.journal| Failure | Detection | Response |
|---|---|---|
| Lodging source unavailable | API timeout or error from any MCP/lodging source | Skip source; continue with remaining sources; log warning |
| Flight search failure | fli library raises exception or returns empty | Report error; suggest manual Google Flights check |
| Docker unavailable (Inception) | Docker daemon not running | Log degraded: docker; return error with diagnostic info |
| GoPlaces unavailable | Skill registry check fails | Surface location ambiguity to user; do not guess |
| Google Places API unavailable | API key missing or quota exceeded | Surface warning; ask for manual estimate |
See references/storage-and-config.md for the directory structure and default config.json.
See references/okrs.md.
ocas-goplaces) — location enrichment: geocoding, distance-to-airport/center, neighborhood context, disambiguation of ambiguous location input. Check at runtime: platform skill registry query | grep goplaces. If not installed, flag ambiguity to user.io.tooloracle/hoteloracle via Glama MCP Gateway) — price calendar trends, cross-site price comparison, area guides, nearby attractions. Research-only; no booking capability. Enriches hotel details with Google Hotels data.ocas-vesper's intake directory ({agent_root}/commons/data/ocas-vesper/intake/) so the morning/evening briefing aggregates pending trip details. See references/vesper-intake-delivery.md.Action Journal — all planning, recommendation, and reservation runs.
When entities are encountered during a run, include structured entity observations in decision.payload:
entities_observed — list of entities encountered (Place, Concept/Event, Concept/Action, Entity/Person), each with type, name, and contextrelationships_observed — connections between entities (e.g., a person associated with a trip, a restaurant located in a destination)preferences_observed — user preferences inferred from planning choices (e.g., budget range, dietary needs, pace preference)Each entity observation must include a user_relevance field:
user — entity is directly related to the user's world (destinations, hotels, companions, reservations). Most Voyage entities are user-relevant since they represent the user's actual travel plans and destinations.agent_only — entity encountered incidentally (e.g., a landmark mentioned only as a routing waypoint, not as a destination)unknown — relevance is unclearOn first invocation of any Voyage command, run voyage.init. See references/initialization.md for the full 10-step procedure including Marriott MCP setup, Google Hotels setup, flights library install, optional credentials, and GoPlaces check.
| Job name | Mechanism | Schedule | Command |
|---|---|---|---|
voyage:update | cron | 0 0 * * * (midnight daily) | voyage.update |
# Task declared in SKILL.md frontmatter metadata.{platform}.cron
voyage.update pulls the latest package from the source: URL in frontmatter. Runs silently — no output unless the version changed or an error occurred. See references/self-update.md for the full 7-step procedure.
public
ocas-goplaces is not installed, Voyage surfaces unresolved location ambiguity to the user rather than guessing. The skill works normally but location resolution depends on user input.fli library queries Google Flights in real-time.| File | When to read |
|---|---|
references/voyage_schemas.md | Before creating plans, itineraries, or reservations; when validating data structures |
references/itinerary_constraints.md | Before constraint application or optimization; when checking feasibility rules |
references/recommendation_style.md | Before generating recommendations; when checking tone and format guidelines |
references/journal.md | Before calling voyage.journal; at end of every run |
references/flights.md | Before any flight search; when checking API patterns, airport resolution, or failure modes |
references/letsfg.md | Before using LetsFG for flight/hotel search or booking; auth setup, guardrails, SDK patterns |
references/lodging-sources.md | Before lodging search; when checking per-source patterns and failure modes |
references/flight-search.md | Before any flight search; when checking API patterns, airport resolution, or failure modes |
references/storage-and-config.md | When inspecting or configuring the on-disk data files and default config |
references/okrs.md | When reviewing OKR definitions or scoring skill performance |
references/initialization.md | On first use; Marriott MCP setup, flights library install, GoPlaces check |
references/self-update.md | When running voyage.update; full 7-step update procedure |
references/vesper-intake-delivery.md | After a trip is confirmed; write the brief to Vesper's intake directory |
references/plans/trip-planning.plan.md | Before a multi-step trip-planning request; destination research → itinerary → accommodation bundling |
scripts/hotelsbyday_search.py | Bundled HotelsByDay harness for day-use rooms,and night stays; call via venv Python for quick searches |
scripts/flight_search.py | Reusable flight search script; call via venv Python for quick one-off searches |
This skill self-updates every 24 hours via:
voyage.update
This pulls the latest version from GitHub. Voyage has no background operational tasks, so there is nothing to restart.