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gsd-autonomous

Run all remaining phases autonomously — discuss→plan→execute per phase

Install

mkdir -p .claude/skills/gsd-autonomous-nnexai && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/13640" && unzip -o skill.zip -d .claude/skills/gsd-autonomous-nnexai && rm skill.zip

Installs to .claude/skills/gsd-autonomous-nnexai

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.

Run all remaining phases autonomously — discuss→plan→execute per phase
70 charsno explicit “when” trigger

About this skill

<codex_skill_adapter>

A. Skill Invocation

  • This skill is invoked by mentioning $gsd-autonomous.
  • Treat all user text after $gsd-autonomous 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:

  • headerheader
  • questionquestion
  • 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, activate TEXT_MODE: append --text to {{GSD_ARGS}} so the workflow's built-in text-mode branching takes over. Present every AskUserQuestion call as a plain-text numbered list, then stop and wait for the user's reply. Do NOT pick a default and continue (#3018 / #3808).
  • 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> Execute all remaining milestone phases autonomously. For each phase: discuss → plan → execute. Pauses only for user decisions (grey area acceptance, blockers, validation requests).

Uses ROADMAP.md phase discovery and Skill() flat invocations for each phase command. After all phases complete: milestone audit → complete → cleanup.

Creates/Updates:

  • .planning/STATE.md — updated after each phase
  • .planning/ROADMAP.md — progress updated after each phase
  • Phase artifacts — CONTEXT.md, PLANs, SUMMARYs per phase

After: Milestone is complete and cleaned up. </objective>

<execution_context> @/home/nnex/dev/prj/copilot-metrics/.codex/get-shit-done/workflows/autonomous.md @/home/nnex/dev/prj/copilot-metrics/.codex/get-shit-done/references/ui-brand.md </execution_context>

<context> Optional flags: - `--from N` — start from phase N instead of the first incomplete phase. - `--to N` — stop after phase N completes (halt instead of advancing to next phase). - `--only N` — execute only phase N (single-phase mode). - `--interactive` — run discuss inline with questions (not auto-answered), then dispatch plan→execute as background agents. Keeps the main context lean while preserving user input on decisions.

Project context, phase list, and state are resolved inside the workflow using init commands (gsd-sdk query init.milestone-op, gsd-sdk query roadmap.analyze). No upfront context loading needed. </context>

<process> Execute end-to-end. Preserve all workflow gates (phase discovery, per-phase execution, blocker handling, progress display). </process>

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