gsd-sketch-wrap-up
Package sketch design findings into a persistent project skill for future build conversations
Install
mkdir -p .claude/skills/gsd-sketch-wrap-up && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13556" && unzip -o skill.zip -d .claude/skills/gsd-sketch-wrap-up && rm skill.zipInstalls to .claude/skills/gsd-sketch-wrap-up
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.
Package sketch design findings into a persistent project skill for future build conversationsAbout this skill
<codex_skill_adapter>
A. Skill Invocation
- This skill is invoked by mentioning
$gsd-sketch-wrap-up. - Treat all user text after
$gsd-sketch-wrap-upas{{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>
<execution_context> @D:/Work/AI_Projects/KAster_CTI/.codex/get-shit-done/workflows/sketch-wrap-up.md @D:/Work/AI_Projects/KAster_CTI/.codex/get-shit-done/references/ui-brand.md </execution_context>
<runtime_note>
Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion.
</runtime_note>