kata-debug

<objective>
Debug issues using scientific method with subagent isolation.

**Orchestrator role:** Gather symptoms, spawn kata-debugger agent, handle checkpoints, spawn continuations.

**Why subagent:** Investigation burns context fast (reading files, forming hypotheses, testing). Fresh 200k context per investigation. Main context stays lean for user interaction.
</objective>

<context>
User's issue: $ARGUMENTS

Check for active sessions:
```bash
find .planning/debug -maxdepth 1 -name "*.md" 2>/dev/null | grep -v resolved | head -5
```
</context>

<process>

## 0. Resolve Model Profile

Read model profile for agent spawning:

```bash
MODEL_PROFILE=$(cat .planning/config.json 2>/dev/null | grep -o '"model_profile"[[:space:]]*:[[:space:]]*"[^"]*"' | grep -o '"[^"]*"$' | tr -d '"' || echo "balanced")
```

Default to "balanced" if not set.

**Model lookup table:**

| Agent         | quality | balanced | budget |
| ------------- | ------- | -------- | ------ |
| kata-debugger | opus    | sonnet   | sonnet |

Store resolved model for use in Task calls below.

## 1. Check Active Sessions

If active sessions exist AND no $ARGUMENTS:
- List sessions with status, hypothesis, next action
- User picks number to resume OR describes new issue

If $ARGUMENTS provided OR user describes new issue:
- Continue to symptom gathering

## 2. Gather Symptoms (if new issue)

Use AskUserQuestion for each:

1. **Expected behavior** - What should happen?
2. **Actual behavior** - What happens instead?
3. **Error messages** - Any errors? (paste or describe)
4. **Timeline** - When did this start? Ever worked?
5. **Reproduction** - How do you trigger it?

After all gathered, confirm ready to investigate.

## 3. Spawn kata-debugger Agent

Fill prompt and spawn:

```markdown
<objective>
Investigate issue: {slug}

**Summary:** {trigger}
</objective>

<symptoms>
expected: {expected}
actual: {actual}
errors: {errors}
reproduction: {reproduction}
timeline: {timeline}
</symptoms>

<mode>
symptoms_prefille