gsd-ai-integration-phase

name	gsd-ai-integration-phase
description	Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy
metadata	{"short-description":"Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy"}

<codex_skill_adapter>

A. Skill Invocation

• This skill is invoked by mentioning $gsd-ai-integration-phase.
• Treat all user text after $gsd-ai-integration-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. spawn_agent has no inline model parameter; GSD embeds the resolved per-agent model directly into each agent's .toml at install time so model_overrides from .planning/config.json and ~/.gsd/defaults.json are honored automatically by Codex's agent router.
• fork_context: false by default — GSD agents load their own context via <files_to_read> blocks

Spawn restriction:

• Codex restricts spawn_agent to cases where the user has explicitly requested sub-agents. When automatic spawning is not permitted, do the work inline in the current agent rather than attempting to force a spawn.

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>

Create an AI design contract (AI-SPEC.md) for a phase involving AI system development. Orchestrates gsd-framework-selector → gsd-ai-researcher → gsd-domain-researcher → gsd-eval-planner. Flow: Select Framework → Research Docs → Research Domain → Design Eval Strategy → Done

<execution_context> @/Users/andreas/Library/Mobile Documents/comappleCloudDocs/Code/gsd-test/.codex/get-shit-done/workflows/ai-integration-phase.md @/Users/andreas/Library/Mobile Documents/comappleCloudDocs/Code/gsd-test/.codex/get-shit-done/references/ai-frameworks.md @/Users/andreas/Library/Mobile Documents/comappleCloudDocs/Code/gsd-test/.codex/get-shit-done/references/ai-evals.md </execution_context>

Phase number: {{GSD_ARGS}} — optional, auto-detects next unplanned phase if omitted. Execute @/Users/andreas/Library/Mobile Documents/com~apple~CloudDocs/Code/gsd-test/.codex/get-shit-done/workflows/ai-integration-phase.md end-to-end. Preserve all workflow gates.