Extract decisions, lessons, patterns, and surprises from completed phase artifacts
<codex_skill_adapter>
$gsd-extract_learnings.$gsd-extract_learnings as {{GSD_ARGS}}.{{GSD_ARGS}} as empty.GSD workflows use AskUserQuestion (Claude Code syntax). Translate to Codex request_user_input:
Parameter mapping:
header → headerquestion → question"Label" — description → {label: "Label", description: "description"}id from header: lowercase, replace spaces with underscoresBatched calls:
AskUserQuestion([q1, q2]) → single with multiple entries in request_user_inputquestions[]Multi-select workaround:
multiSelect. Use sequential single-selects, or present a numbered freeform list asking the user to enter comma-separated numbers.Execute mode fallback:
request_user_input is rejected (Execute mode), present a plain-text numbered list and pick a reasonable default.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: false by default — GSD agents load their own context via <files_to_read> blocksParallel fan-out:
wait(ids) for all to completeResult parsing:
CHECKPOINT, PLAN COMPLETE, SUMMARY, etc.close_agent(id) after collecting results from each agent
</codex_skill_adapter><execution_context> @/Users/luca/dev/alignment-journal/.codex/get-shit-done/workflows/extract_learnings.md </execution_context>
Execute the extract-learnings workflow from @/Users/luca/dev/alignment-journal/.codex/get-shit-done/workflows/extract_learnings.md end-to-end.