Débogage structuré avec persistance de session

VérifiéSûr

Workflow de débogage scientifique avec isolation des sous-agents et suivi d'investigation. Gère les points de contrôle et maintient l'état entre les sessions.

Spar Skills Guide Bot
DeveloppementIntermédiaire
4002/06/2026
Claude Code
#debugging#scientific-method#subagent#session-persistence

Recommandé pour

Notre avis

Un workflow de débogage structuré utilisant la méthode scientifique, avec isolement des sous-agents et persistance de session.

Points forts

  • Approche systématique et reproductible pour le débogage.
  • Préservation du contexte principal en déléguant l'investigation à un sous-agent.
  • Gestion des points de contrôle et reprise d'enquête sans perte d'information.
  • Documentation automatique des sessions de débogage.

Limites

  • Nécessite l'utilisation de sous-agents Claude Code, non disponible sur d'autres plateformes.
  • Peut être verbeux pour des bugs simples nécessitant une correction rapide.
  • Dépend de la qualité des symptômes fournis par l'utilisateur.
Quand l'utiliser

Pour des bugs complexes nécessitant une investigation approfondie, itérative et traçable.

Quand l'éviter

Pour des erreurs évidentes ou des correctifs rapides où un simple échange suffit.

Analyse de sécurité

Sûr
Score qualité85/100

The skill orchestrates debugging using safe file operations (ls, read/write .planning/debug/*.md) and user interaction. No exfiltration, destructive commands, or code obfuscation. Bash usage is minimal and legitimate.

Aucun point d'attention détecté

Exemples

Debug web form 500 error
I get a 500 error when submitting the payment form on the checkout page. It started after last deployment.
Resume session
Resume the previous debugging session for the database connection timeout.
Investigate memory leak
Investigate the memory leak in the background worker process.

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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