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name: go_explore_cell_representation description: Build stable Go-Explore archive cell keys from structured or grid observations for bounded recovery experiments.

Go-Explore Cell Representation

Use this skill when a recovery or implementation needs to convert raw environment observations into archive cells for Go-Explore Phase 1. Do not use it to choose actions, score trajectories, or evaluate robustification; it only defines state abstraction.

Inputs

• A structured state dictionary such as {"x": 1, "y": 2, "room": 0} or a grid observation with coordinates.
• A cell configuration with fields for domain-knowledge cells or bucket_size for coordinate bucketing.

Outputs

• A deterministic, hashable cell key represented as a tuple.
• Metadata describing the representation mode and selected fields.

Workflow

1. Prefer domain fields when they are explicitly configured.
2. Validate that every requested field exists in the state.
3. Convert configured fields into a tuple ordered exactly as requested.
4. For coordinate-only states, bucket x and y by bucket_size.
5. Keep score, action preferences, and downstream control text out of the key.

Validation

Run python tests/test_cell_representation.py or validate the full tree with validate_skill_tree.py --run-tests.

Limitations

This skill does not decide which abstraction is best for a new environment. It provides deterministic mechanics for a chosen abstraction and makes collisions explicit through bucketing.