gsd-debug
Supports deep debugging workflows with state-persistent tracking.
Install
mkdir -p .claude/skills/gsd-debug && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/12614" && unzip -o skill.zip -d .claude/skills/gsd-debug && rm skill.zipInstalls to .claude/skills/gsd-debug
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Systematic debugging with persistent state across context resetsKey capabilities
- →Gather symptoms for a debugging issue.
- →Spawn a `gsd-debugger` agent for investigation.
- →Handle checkpoints during the debugging process.
- →Spawn continuation agents after checkpoints or 'fix now' selections.
- →Diagnose issues only with the `--diagnose` flag, returning a Root Cause Report.
- →Check for and list active debugging sessions.
How it works
The skill coordinates debugging efforts by gathering symptoms, spawning a dedicated `gsd-debugger` agent for investigation, and managing checkpoints to maintain state across context resets. It uses a scientific method approach.
Inputs & outputs
When to use gsd-debug
- →Debugging complex issues
- →Tracking state through debug sessions
- →Persistent troubleshooting
About this skill
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-debug. - Treat all user text after
$gsd-debugas{{GSD_ARGS}}. - If no arguments are present, treat
{{GSD_ARGS}}as empty.
B. AskUserQuestion → request_user_input Mapping
GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:
Parameter mapping:
header→headerquestion→question- Options formatted as
"Label" — description→{label: "Label", description: "description"} - Generate
idfrom header: lowercase, replace spaces with underscores
Batched calls:
AskUserQuestion([q1, q2])→ singlerequest_user_inputwith multiple entries inquestions[]
Multi-select workaround:
- Codex has no
multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.
Execute mode fallback:
- When
request_user_inputis rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.
C. Task() → spawn_agent Mapping
GSD workflows use Task(...) (Claude Code syntax). Translate to Codex collaboration tools:
Direct mapping:
Task(subagent_type="X", prompt="Y")→spawn_agent(agent_type="X", message="Y")Task(model="...")→ omit (Codex uses per-role config, not inline model selection)fork_context: falseby default — GSD agents load their own context via<files_to_read>blocks
Parallel fan-out:
- Spawn multiple agents → collect agent IDs →
wait(ids)for all to complete
Result parsing:
- Look for structured markers in agent output:
CHECKPOINT,PLAN COMPLETE,SUMMARY, etc. close_agent(id)after collecting results from each agent </codex_skill_adapter>
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>
Parse flags from {{GSD_ARGS}}:
- If
--diagnoseis present, setdiagnose_only=trueand remove the flag from the issue description. - Otherwise,
diagnose_only=false.
Check for active sessions:
ls .planning/debug/*.md 2>/dev/null | grep -v resolved | head -5
</context>
<process>
0. Initialize Context
INIT=$(node "C:/Users/gusta/OneDrive/Documentos/gerenciador-de-quadras/.codex/get-shit-done/bin/gsd-tools.cjs" state load)
if [[ "$INIT" == @file:* ]]; then INIT=$(cat "${INIT#@file:}"); fi
Extract commit_docs from init JSON. Resolve debugger model:
debugger_model=$(node "C:/Users/gusta/OneDrive/Documentos/gerenciador-de-quadras/.codex/get-shit-done/bin/gsd-tools.cjs" resolve-model gsd-debugger --raw)
1. Check Active Sessions
If active sessions exist AND no {{GSD_ARGS}}:
- List sessions with status, hypothesis, next action
- User picks number to resume OR describes new issue
If {{GSD_ARGS}} 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: {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_fixto apply the fix (see step 5) - "Plan fix" — suggest
/gsd-plan-phase --gaps - "Manual fix" — done
- "Fix now" — spawn a continuation agent with
If ## DEBUG COMPLETE (find_and_fix mode):
- Display root cause and fix summary
- Offer options:
- "Plan fix" — suggest
/gsd-plan-phase --gapsif further work needed - "Done" — mark resolved
- "Plan fix" — suggest
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:
<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>
When not to use it
- →When the user wants to perform SME interviews, capability discovery, or rule mining.
- →When the user wants the business artifact itself (inventory, program analysis, flow, module, spec, review).
- →When the task is forward SDLC code generation or platform-specific extraction.
Limitations
- →Investigation burns context fast (reading files, forming hypotheses, testing).
- →It requires `gsd-debugger` as a valid subagent type.
- →It uses `AskUserQuestion` for gathering symptoms.
How it compares
This skill isolates debugging investigations into sub-agents with fresh context, preventing context burn-out in the main agent and ensuring a systematic, persistent approach to troubleshooting complex issues.
Compared to similar skills
gsd-debug side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| gsd-debug (this skill) | 0 | 4mo | Review | Advanced |
| analyzing-logs | 14 | 25d | Review | Beginner |
| sentry | 10 | 4mo | Caution | Beginner |
| obsidian-incident-runbook | 3 | 25d | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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