coco-research/gsd-debug

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

Orchestrator role: Gather symptoms, spawn gsd-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.

Flags:

• --diagnose — Diagnose only. Find root cause without applying a fix. Returns a structured Root Cause Report. Use when you want to validate the diagnosis before committing to a fix.

</objective>

<available_agent_types> Valid GSD subagent types (use exact names — do not fall back to 'general-purpose'):

• gsd-debugger — Diagnoses and fixes issues

</available_agent_types>

<context> User's issue: $ARGUMENTS

Parse flags from $ARGUMENTS:

• If --diagnose is present, set diagnose_only=true and remove the flag from the issue description.
• Otherwise, diagnose_only=false.

Check for active sessions:

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

</context>

<process>

0. Initialize Context

bash
INIT=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" state load)
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi

Extract commit_docs from init JSON. Resolve debugger model:

bash
debugger_model=$(node "$HOME/.claude/get-shit-done/bin/gsd-tools.cjs" resolve-model gsd-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:

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 gsd-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_prefilled: true
goal: {if diagnose_only: "find_root_cause_only", else: "find_and_fix"}
</mode>

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

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

4. Handle Agent Return

If ## ROOT CAUSE FOUND (diagnose-only mode):

• Display root cause, confidence level, files involved, and suggested fix strategies
• Offer options:
• "Fix now" — spawn a continuation agent with goal: find_and_fix to apply the fix (see step 5)
• "Plan fix" — suggest /gsd-plan-phase --gaps
• "Manual fix" — done

If ## DEBUG COMPLETE (find_and_fix mode):

• Display root cause and fix summary
• Offer options:
• "Plan fix" — suggest /gsd-plan-phase --gaps if further work needed
• "Done" — mark resolved

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 or "Fix now")

When user responds to checkpoint OR selects "Fix now" from diagnose-only results, spawn fresh agent:

markdown
<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="gsd-debugger",
  model="{debugger_model}",
  description="Continue debug {slug}"
)

</process>

<success_criteria>

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

</success_criteria>