Unity Console Skills
Work with the Unity console - capture logs, write messages, and debug your project.
Skills Overview
| Skill | Description |
|---|---|
console_start_capture | Start capturing logs |
console_stop_capture | Stop capturing logs |
console_get_logs | Get captured logs |
console_clear | Clear console |
console_log | Write log message |
Skills
console_start_capture
Start capturing Unity console logs.
No parameters.
console_stop_capture
Stop capturing logs.
No parameters.
console_get_logs
Get captured logs with optional filtering.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
filter | string | No | null | Log/Warning/Error |
limit | int | No | 100 | Max results |
Returns: {success, totalLogs, logs: [{type, message, timestamp}]}
console_clear
Clear the Unity console.
No parameters.
console_log
Write a custom log message.
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
message | string | Yes | - | Log message |
type | string | No | "Log" | Log/Warning/Error |
Example Usage
python
import unity_skills
# Start capturing logs before play mode
unity_skills.call_skill("console_start_capture")
# Enter play mode
unity_skills.call_skill("editor_play")
# ... gameplay generates logs ...
unity_skills.call_skill("editor_stop")
# Get all captured logs
logs = unity_skills.call_skill("console_get_logs")
for log in logs['logs']:
print(f"[{log['type']}] {log['message']}")
# Get only errors
errors = unity_skills.call_skill("console_get_logs", filter="Error")
if errors['totalLogs'] > 0:
print(f"Found {errors['totalLogs']} errors!")
# Write custom log
unity_skills.call_skill("console_log",
message="AI Agent: Task completed",
type="Log"
)
# Write warning
unity_skills.call_skill("console_log",
message="AI Agent: Performance issue detected",
type="Warning"
)
# Clear and stop
unity_skills.call_skill("console_clear")
unity_skills.call_skill("console_stop_capture")
Best Practices
- •Start capture before play mode for runtime logs
- •Filter by Error to quickly find problems
- •Use custom logs to mark AI agent actions
- •Clear console before starting new capture session
- •Stop capture when done to free resources