Claude-skill-registry gsd-debug
Structured debugging workflow with session persistence and investigation tracking
install
source · Clone the upstream repo
git clone https://github.com/majiayu000/claude-skill-registry
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/majiayu000/claude-skill-registry "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data/gsd-debug" ~/.claude/skills/majiayu000-claude-skill-registry-gsd-debug && rm -rf "$T"
manifest:
skills/data/gsd-debug/SKILL.mdsource content
<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: $ARGUMENTSCheck for active sessions:
</context> <process>ls .planning/debug/*.md 2>/dev/null | grep -v resolved | head -5
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 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>
</process>Task( prompt=continuation_prompt, subagent_type="gsd-debugger", description="Continue debug {slug}" )
<success_criteria>
- Active sessions checked
- Symptoms gathered (if new)
- gsd-debugger spawned with context
- Checkpoints handled correctly
- Root cause confirmed before fixing </success_criteria>