Bring the agent into stable adjacency with a solid vertical surface using nav conventions and nav motion tools.
Scanned 6/6/2026
Install via CLI
openskills install bdambrosio/Cognitive_workbench---
name: nav-approach-wall
type: python
description: "Bring the agent into stable adjacency with a solid vertical surface using nav conventions and nav motion tools."
---
# nav-approach-wall
Advance forward until a solid vertical surface is directly ahead (stable adjacency), using nav motion tools and nav conventions.
## Input
- `target`: Integer maximum blocks to advance before giving up (default: `10`)
- `step_duration`: Float seconds per move (default: `0.2`)
- `placement_item`: Item/block name for stabilization (default: `"dirt"`)
## Output
Success (`status: "success"`):
- `value`: Summary text with log
- `extra.outcome`: `"SUCCESS"`
- `extra.log`: List of step descriptions
Failure (`status: "failed"`):
- `value`: Summary text with log
- `extra.outcome`: `"NO_WALL_REACHABLE"` | `"SUPPORT_UNSTABILIZABLE"` | `"FALL_DETECTED"`
- `extra.log`: List of step descriptions
## Behavior
- Observes forward block each loop
- Uses `nav-advance` for motion (verified, snap-to-grid, nav history)
- If support becomes ambiguous, attempts `mc-place-until-supported` then continues
## Planning Notes
- Use before `nav-climb` or other wall-dependent operations
- If `FALL_DETECTED`, treat as safety event and consider `nav-backtrack`
## Example
```json
{"type":"nav-approach-wall","target":10,"out":"$aw"}
```
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