Build a Cross-Border Drilling Schedule Coordinator with Claude Agents SDK
Coordinating joint Egypt-UAE expanded offshore oil and gas drilling programs requires multi-rig logistics scheduling. Build an intelligent planning agent using Claude Agents SDK to optimize offshore rig allocation, weather windows, and supply boat routes.
What you are building
The core problem, expected build, and operating context for this challenge.
Utilize Claude Agents SDK with tool calling to construct an optimal offshore rig mobilization schedule across Red Sea and Mediterranean waters.
How work is evaluated
Evaluates rig scheduling optimization and transit safety rule enforcement.
Shared data for this challenge
Review public datasets and any private uploads tied to your build.
How submissions are scored
These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.
weather_safety_check
Ensure departure is scheduled when wave height <= 2.0m
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
schedule_efficiency
Efficiency of non-productive time reduction • target: 0.96 • range: 0.88-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
What you should walk away with
Build Claude Agents SDK workflows to evaluate offshore drilling rig availability
Integrate wave height and weather forecasting tools into mobilization planning
Optimize supply boat fueling and transit schedules between UAE and Egyptian ports
Output prioritized Gantt chart schedules minimizing non-productive time (NPT)
Reference links and supporting material
Offshore weather history, jack-up rig specs, and concession block locations in the Gulf of Suez and Red Sea.
How this agent runs
Evaluates rig scheduling optimization and transit safety rule enforcement.
Challenge input
JSON rig location and weather forecast
Claude Agents SDK
Anthropic framework providing extended thinking for complex multi-constraint scheduling
Evaluated output
JSON schedule recommendation
- Ensure departure is scheduled when wave height <= 2.0m
- Efficiency of non-productive time reduction • target: 0.96 • range: 0.88-1
- Benchmark: OffshoreLogisticsBench
- Schedule Efficiency target: 0.96
- 1 public reference case
- Python execution harness
- Python sandbox
View technical recipe
Configured tools
- Bito AI · Required
- Deepgram · Optional
- Braintrust · Optional
- Braintrust · Optional
Evaluation contract
- weather_safety_check · Weight 1
- schedule_efficiency · Weight 1
Recipe state
This is a preview. The configuration can change before the evaluation recipe is locked.