gsd-discuss-phase

<codex_skill_adapter>

A. Skill Invocation

• This skill is invoked by mentioning $gsd-discuss-phase.
• Treat all user text after $gsd-discuss-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 or unavailable, you MUST stop and present the questions as a plain-text numbered list, then wait for the user's reply. Do NOT pick a default and continue (#3018).
• You may only proceed without a user answer when one of these is true: (a) the invocation included an explicit non-interactive flag (--auto or --all), (b) the user has explicitly approved a specific default for this question, or (c) the workflow's documented contract says defaults are safe (e.g. autonomous lifecycle paths).
• Do NOT write workflow artifacts (CONTEXT.md, DISCUSSION-LOG.md, PLAN.md, checkpoint files) until the user has answered the plain-text questions or one of (a)-(c) above applies. Surfacing the questions and waiting is the correct response — silently defaulting and writing artifacts is the #3018 failure mode.

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.
• Resolved reasoning_effort="low|medium|high|xhigh" (xhigh is a GSD/Codex tier, not a generic runtime enum) → pass reasoning_effort to spawn_agent when the runtime/tool supports it. Omit missing, empty, inherited, or unsupported values; do not invent one-off effort literals in workflow prose.
• fork_context: false by default — GSD agents load their own context via <files_to_read> blocks
• Task(isolation="worktree") / Agent(isolation="worktree") → no direct Codex mapping. Codex spawn_agent does not create or bind a git worktree automatically. Workflows that require this isolation must fail closed or use an explicit manual worktree protocol before spawning (#3360).

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>

<objective> Extract implementation decisions that downstream agents need — researcher and planner will use CONTEXT.md to know what to investigate and what choices are locked.

How it works:

1. Load prior context (PROJECT.md, REQUIREMENTS.md, STATE.md, prior CONTEXT.md files)
2. Scout codebase for reusable assets and patterns
3. Analyze phase — skip gray areas already decided in prior phases
4. Present remaining gray areas — user selects which to discuss
5. Deep-dive each selected area until satisfied
6. Create CONTEXT.md with decisions that guide research and planning

Output: {phase_num}-CONTEXT.md — decisions clear enough that downstream agents can act without asking the user again </objective>

<execution_context> Workflow files are loaded on-demand in the <process> section below — not upfront. Do not pre-load any workflow files before reading the mode routing instructions. </execution_context>

<runtime_note> Copilot (VS Code): Use vscode_askquestions wherever this workflow calls AskUserQuestion. They are equivalent — vscode_askquestions is the VS Code Copilot implementation of the same interactive question API. </runtime_note>

<context> Phase number: {{GSD_ARGS}} (required)

Context files are resolved in-workflow using init phase-op and roadmap/state tool calls. </context>

<process> **Mode routing:** ```bash DISCUSS_MODE=$(gsd-sdk query config-get workflow.discuss_mode 2>/dev/null || echo "discuss") ```

If --assumptions is in {{GSD_ARGS}}: Read and execute C:/Users/ianache/Desktop/DATA/01-DOCUMENTOS/02-PROYECTOS/102-concesionarias/dashboardstudio/.codex/get-shit-done/workflows/list-phase-assumptions.md end-to-end. Stop here.

Otherwise, if DISCUSS_MODE is "assumptions": Read and execute C:/Users/ianache/Desktop/DATA/01-DOCUMENTOS/02-PROYECTOS/102-concesionarias/dashboardstudio/.codex/get-shit-done/workflows/discuss-phase-assumptions.md end-to-end.

Otherwise ("discuss" / unset / any other value): Read and execute C:/Users/ianache/Desktop/DATA/01-DOCUMENTOS/02-PROYECTOS/102-concesionarias/dashboardstudio/.codex/get-shit-done/workflows/discuss-phase.md end-to-end.

MANDATORY: Read the appropriate workflow file BEFORE taking any action. The objective and success_criteria sections in this command file are summaries — the workflow file contains the complete step-by-step process with all required behaviors, config checks, and interaction patterns. Do not improvise from the summary.

Lazy loading: templates/context.md is loaded inside the write_context step of the active workflow. discuss-phase-power.md is loaded inside discuss-phase.md when --power is detected. Do not load either here. </process>

<success_criteria>

• Prior context loaded and applied (no re-asking decided questions)
• Gray areas identified through intelligent analysis
• User chose which areas to discuss
• Each selected area explored until satisfied
• Scope creep redirected to deferred ideas
• CONTEXT.md captures decisions, not vague vision
• User knows next steps </success_criteria>