gsd-execute-phase
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-execute-phase. - Treat all user text after
$gsd-execute-phaseas{{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 stays lean: discover plans, analyze dependencies, group into waves, spawn subagents, collect results. Each subagent loads the full execute-plan context and handles its own plan.
Optional wave filter:
--wave Nexecutes only WaveNfor pacing, quota management, or staged rollout- phase verification/completion still only happens when no incomplete plans remain after the selected wave finishes
Flag handling rule:
- The optional flags documented below are available behaviors, not implied active behaviors
- A flag is active only when its literal token appears in
{{GSD_ARGS}} - If a documented flag is absent from
{{GSD_ARGS}}, treat it as inactive
Context budget: ~15% orchestrator, 100% fresh per subagent.
<execution_context> @/mnt/local-analysis/workspace-hub/.codex/get-shit-done/workflows/execute-phase.md @/mnt/local-analysis/workspace-hub/.codex/get-shit-done/references/ui-brand.md </execution_context>
Available optional flags (documentation only — not automatically active):
--wave N— Execute only WaveNin the phase. Use when you want to pace execution or stay inside usage limits.--gaps-only— Execute only gap closure plans (plans withgap_closure: truein frontmatter). Use after verify-work creates fix plans.--interactive— Execute plans sequentially inline (no subagents) with user checkpoints between tasks. Lower token usage, pair-programming style. Best for small phases, bug fixes, and verification gaps.
Active flags must be derived from {{GSD_ARGS}}:
--wave Nis active only if the literal--wavetoken is present in{{GSD_ARGS}}--gaps-onlyis active only if the literal--gaps-onlytoken is present in{{GSD_ARGS}}--interactiveis active only if the literal--interactivetoken is present in{{GSD_ARGS}}- If none of these tokens appear, run the standard full-phase execution flow with no flag-specific filtering
- Do not infer that a flag is active just because it is documented in this prompt
Context files are resolved inside the workflow via gsd-tools init execute-phase and per-subagent <files_to_read> blocks.