gsd-execute-phase

---
name: "gsd-execute-phase"
description: "Execute all plans in a phase with wave-based parallelization"
metadata:
  short-description: "Execute all plans in a phase with wave-based parallelization"
---

<codex_skill_adapter>
## A. Skill Invocation
- This skill is invoked by mentioning `$gsd-execute-phase`.
- Treat all user text after `$gsd-execute-phase` as `{{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` → `header`
- `question` → `question`
- Options formatted as `"Label" — description` → `{label: "Label", description: "description"}`
- Generate `id` from header: lowercase, replace spaces with underscores

Batched calls:
- `AskUserQuestion([q1, q2])` → single `request_user_input` with multiple entries in `questions[]`

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_input` is 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: false` by 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>

<objective>
Execute all plans in a phase using wave-based parallel execution.

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.

Context budget: ~15% orchestrator, 100% fresh per subagent.
</objective>

<execution_context>
@/Users/teo/src/tempo/.codex/get-shit-done/workflows/execute-phase.md
@/Users/teo/src/tempo/.codex/get-shit-done/references/ui-brand.md
</execution_context>

<context>
Phase: {{GSD_ARGS}}

**Flags:**
- `--gaps-only` — Execute only gap closure plans (plans with `gap_closure: true` in frontmatter). Use after verify-work creates fix plans.

Context files are resolved inside the workflow via `gsd-tools init execute-phase` and per-subagent `<files_to_read>` blocks.
</context>

<process>
Execute the execute-phase workflow from @/Users/teo/src/tempo/.codex/get-shit-done/workflows/execute-phase.md end-to-end.
Preserve all workflow gates (wave execution, checkpoint handling, verification, state updates, routing).
</process>