Débogage structuré avec persistance de session

VérifiéPrudence

Workflow de débogage scientifique avec isolation d'agents et suivi d'investigation. Gère les symptômes, hypothèses et points de contrôle pour résoudre les problèmes efficacement.

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

Recommandé pour

Notre avis

Cette compétence fournit un flux de travail de débogage structuré utilisant la méthode scientifique avec isolement des sous-agents, persistance des sessions et suivi des investigations.

Points forts

  • Approche systématique pour des bugs complexes
  • Préservation du contexte entre les sessions
  • Gestion des points de contrôle pour éviter les pertes de progression
  • Capacité de reprendre des sessions actives

Limites

  • Nécessite la fonctionnalité de sous-agent disponible uniquement sur certaines plateformes
  • Peut être verbeux pour des problèmes simples
  • Requiert une interaction utilisateur aux points de contrôle
Quand l'utiliser

Pour enquêter sur des bugs persistants et complexes nécessitant une investigation méthodique.

Quand l'éviter

Pour des problèmes triviaux ou des corrections rapides qui ne justifient pas un processus de débogage complet.

Analyse de sécurité

Prudence
Score qualité82/100

The skill orchestrates a debugging workflow using Bash and subagents. While the orchestrator's direct Bash usage is limited to listing session files, the spawned subagent has Bash access and could run arbitrary commands. No destructive or exfiltration instructions are present, so risk is moderate.

Points d'attention
  • Uses Bash tool which could allow arbitrary command execution; orchestrator uses ls only, but subagent may execute arbitrary bash commands.

Exemples

New bug investigation
I'm investigating why the login button is not working. It was working before and I see no error messages.
Resume active session
List my active debug sessions and let me choose one to continue.
Continue after checkpoint
Continue debugging the authentication flow issue from the last checkpoint.

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>
Skills similaires