thrunt-debug - SKILL.md Agent Skill

name: thrunt-debug description: Systematic debugging with persistent state across context resets argument-hint: "[issue description]" allowed-tools: Read, Bash, Task, AskUserQuestion

Debug issues using scientific method with subagent isolation.

Orchestrator role: Gather symptoms, spawn thrunt-incident-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.

Valid THRUNT subagent types (use exact names — do not fall back to 'general-purpose'): - thrunt-incident-debugger — Diagnoses and fixes issues User's issue: $ARGUMENTS

Check for active sessions:

ls .planning/debug/*.md 2>/dev/null | grep -v resolved | head -5

0. Initialize Context

INIT=$(node ".github/thrunt-god/bin/thrunt-tools.cjs" state load)
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi

Extract commit_docs from init JSON. Resolve debugger model:

debugger_model=$(node ".github/thrunt-god/bin/thrunt-tools.cjs" resolve-model thrunt-incident-debugger --raw)

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:

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

After all gathered, confirm ready to investigate.

3. Spawn thrunt-incident-debugger Agent

Fill prompt and spawn:

<objective>
Investigate issue: {slug}

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

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

<mode>
symptoms_prefilled: true
goal: find_and_fix
</mode>

<debug_file>
Create: .planning/debug/{slug}.md
</debug_file>

Task(
  prompt=filled_prompt,
  subagent_type="thrunt-incident-debugger",
  model="{debugger_model}",
  description="Debug {slug}"
)

4. Handle Agent Return

If ## ROOT CAUSE FOUND:

Display root cause and evidence summary
Offer options:
- "Fix now" - spawn fix subagent
- "Plan fix" - suggest /hunt-plan --gaps
- "Manual fix" - done

If ## CHECKPOINT REACHED:

Present checkpoint details to user
Get user response
If checkpoint type is human-verify:
- If user confirms fixed: continue so agent can finalize/resolve/archive
- If user reports issues: continue so agent returns to investigation/fixing
Spawn continuation agent (see step 5)

If ## INVESTIGATION INCONCLUSIVE:

Show what was checked and eliminated
Offer options:
- "Continue investigating" - spawn new agent with additional context
- "Manual investigation" - done
- "Add more context" - gather more symptoms, spawn again

5. Spawn Continuation Agent (After Checkpoint)

When user responds to checkpoint, spawn fresh agent:

<objective>
Continue debugging {slug}. Evidence is in the debug file.
</objective>

<prior_state>
<files_to_read>
- .planning/debug/{slug}.md (Debug session state)
</files_to_read>
</prior_state>

<checkpoint_response>
**Type:** {checkpoint_type}
**Response:** {user_response}
</checkpoint_response>

<mode>
goal: find_and_fix
</mode>

Task(
  prompt=continuation_prompt,
  subagent_type="thrunt-incident-debugger",
  model="{debugger_model}",
  description="Continue debug {slug}"
)

- [ ] Active sessions checked - [ ] Symptoms gathered (if new) - [ ] thrunt-incident-debugger spawned with context - [ ] Checkpoints handled correctly - [ ] Root cause confirmed before fixing