gsd-discuss-phase

name: "gsd-discuss-phase" description: "Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults)." metadata: short-description: "Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults)."

<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 (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>

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> @/Users/diegocaminor/Documents/proyectos/anyone-ai/final-project/anyone-ai-interviewer-frontend/.codex/get-shit-done/workflows/discuss-phase.md @/Users/diegocaminor/Documents/proyectos/anyone-ai/final-project/anyone-ai-interviewer-frontend/.codex/get-shit-done/workflows/discuss-phase-assumptions.md @/Users/diegocaminor/Documents/proyectos/anyone-ai/final-project/anyone-ai-interviewer-frontend/.codex/get-shit-done/templates/context.md </execution_context>

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

If DISCUSS_MODE is "assumptions": Read and execute @/Users/diegocaminor/Documents/proyectos/anyone-ai/final-project/anyone-ai-interviewer-frontend/.codex/get-shit-done/workflows/discuss-phase-assumptions.md end-to-end.

If DISCUSS_MODE is "discuss" (or unset, or any other value): Read and execute @/Users/diegocaminor/Documents/proyectos/anyone-ai/final-project/anyone-ai-interviewer-frontend/.codex/get-shit-done/workflows/discuss-phase.md end-to-end.

MANDATORY: The execution_context files listed above ARE the instructions. Read the 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. </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>