Débogage structuré avec persistance de session

VérifiéSûr

Workflow de débogage scientifique avec isolation d'agents et suivi des investigations. Gère les points de contrôle et maintient l'historique des sessions.

Spar Skills Guide Bot
DeveloppementAvancé
3002/06/2026
Claude Code
#debugging#scientific-method#subagent#investigation-tracking

Recommandé pour

Notre avis

Cette compétence fournit un workflow de débogage structuré utilisant des sous-agents avec persistance de session et suivi d'investigation.

Points forts

  • Applique la méthode scientifique pour isoler les causes profondes.
  • Utilise des sous-agents pour garder un contexte frais et éviter la saturation.
  • Permet la mise en checkpoint et la reprise des sessions d'investigation.
  • Suit plusieurs sessions de débogage simultanément.

Limites

  • Nécessite l'infrastructure de sous-agents spécifique à Claude Code.
  • Peut être excessif pour des bugs simples ou bien compris.
  • Dépend de la création et de la gestion de fichiers de session dans un répertoire dédié.
Quand l'utiliser

Utilisez cette compétence pour déboguer des problèmes complexes ou multi-facettes qui nécessitent une investigation approfondie et itérative.

Quand l'éviter

Évitez pour des problèmes triviaux ou déjà bien compris où une correction directe est possible.

Analyse de sécurité

Sûr
Score qualité88/100

The skill only uses Bash to list debug session files with a harmless command (ls, grep, head). No destructive operations, network calls, or exfiltration risks. Subagent spawning via Task is controlled and the payload is static text, not user-injected executable code.

Aucun point d'attention détecté

Exemples

Debug login page loading issue
The login page on our app is not loading. It shows a blank screen. There are no error messages in the console. This started happening after the last deployment. Can you help debug this?
Investigate database timeout
Our database queries are timing out intermittently. The issue started last week and affects only certain endpoints. I have logs showing connection pool exhaustion. Please investigate the root cause.
Resume previous debug session
I have an existing debugging session for the authentication bug. Please resume it and continue the investigation.

name: gsd-debug description: Structured debugging workflow with session persistence and investigation tracking allowed-tools: Task, Read, Edit, Bash argument-hint: [issue]

<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. </objective>

<context> User's issue: $ARGUMENTS

Check for active sessions:

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

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:

<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="gsd-debugger",
  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 {{COMMAND_PREFIX}}plan-phase --gaps
    • "Manual fix" - done

If ## CHECKPOINT REACHED:

  • Present checkpoint details to user
  • Get user response
  • 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>
Debug file: @.planning/debug/{slug}.md
</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",
  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>
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