gsd-execute-phase — for Claude Code gsd-execute-phase, openpos, community, for Claude Code, ide skills, $gsd-execute-phase, {{GSD_ARGS}}, AskUserQuestion, request_user_input, header

v1.0.0

Sobre este Skill

Cenario recomendado: Ideal for AI agents that need <codex skill adapter. Resumo localizado: OpenPOS: A POS + ERP system for retail stores. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Recursos

<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.

# Tópicos principais

zestzero zestzero
[0]
[0]
Atualizado: 5/4/2026

Skill Overview

Start with fit, limitations, and setup before diving into the repository.

Cenario recomendado: Ideal for AI agents that need <codex skill adapter. Resumo localizado: OpenPOS: A POS + ERP system for retail stores. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Por que usar essa habilidade

Recomendacao: gsd-execute-phase helps agents <codex skill adapter. OpenPOS: A POS + ERP system for retail stores. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Melhor para

Cenario recomendado: Ideal for AI agents that need <codex skill adapter.

Casos de Uso Práticos for gsd-execute-phase

Caso de uso: Applying <codex skill adapter
Caso de uso: Applying A. Skill Invocation
Caso de uso: Applying This skill is invoked by mentioning $gsd-execute-phase

! Segurança e Limitações

  • Limitacao: --wave N executes only Wave N for pacing, quota management, or staged rollout
  • Limitacao: phase verification/completion still only happens when no incomplete plans remain after the selected wave finishes
  • Limitacao: A flag is active only when its literal token appears in {{GSD ARGS}}

About The Source

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Demo Labs

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FAQ e etapas de instalação

These questions and steps mirror the structured data on this page for better search understanding.

? Perguntas frequentes

O que é gsd-execute-phase?

Cenario recomendado: Ideal for AI agents that need <codex skill adapter. Resumo localizado: OpenPOS: A POS + ERP system for retail stores. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

Como instalar gsd-execute-phase?

Execute o comando: npx killer-skills add zestzero/openpos. Ele funciona com Cursor, Windsurf, VS Code, Claude Code e mais de 19 outros IDEs.

Quais são os casos de uso de gsd-execute-phase?

Os principais casos de uso incluem: Caso de uso: Applying <codex skill adapter, Caso de uso: Applying A. Skill Invocation, Caso de uso: Applying This skill is invoked by mentioning $gsd-execute-phase.

Quais IDEs são compatíveis com gsd-execute-phase?

Esta skill é compatível com Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use a CLI do Killer-Skills para uma instalação unificada.

gsd-execute-phase tem limitações?

Limitacao: --wave N executes only Wave N for pacing, quota management, or staged rollout. Limitacao: phase verification/completion still only happens when no incomplete plans remain after the selected wave finishes. Limitacao: A flag is active only when its literal token appears in {{GSD ARGS}}.

Como instalar este skill

  1. 1. Abra o terminal

    Abra o terminal ou linha de comando no diretório do projeto.

  2. 2. Execute o comando de instalação

    Execute: npx killer-skills add zestzero/openpos. A CLI detectará sua IDE ou agente automaticamente e configurará a skill.

  3. 3. Comece a usar o skill

    O skill já está ativo. Seu agente de IA pode usar gsd-execute-phase imediatamente no projeto atual.

! Source Notes

This page is still useful for installation and source reference. Before using it, compare the fit, limitations, and upstream repository notes above.

Upstream Repository Material

The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.

Upstream Source

gsd-execute-phase

OpenPOS: A POS + ERP system for retail stores. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. <codex skill adapter

SKILL.md
Readonly
Upstream Repository Material
The section below comes from the upstream repository. Use it as supporting material alongside the fit, use-case, and installation summary on this page.
Upstream Source

<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:

  • 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 (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>
<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.

Optional wave filter:

  • --wave N executes only Wave N for pacing, quota management, or staged rollout
  • phase verification/completion still only happens when no incomplete plans remain after the selected wave finishes

Flag handling rule:

  • The optional flags documented below are available behaviors, not implied active behaviors
  • A flag is active only when its literal token appears in {{GSD_ARGS}}
  • If a documented flag is absent from {{GSD_ARGS}}, treat it as inactive

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

<execution_context> @/Users/zestzero/Documents/work-dir/openpos/frontend/.codex/get-shit-done/workflows/execute-phase.md @/Users/zestzero/Documents/work-dir/openpos/frontend/.codex/get-shit-done/references/ui-brand.md </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: {{GSD_ARGS}}

Available optional flags (documentation only — not automatically active):

  • --wave N — Execute only Wave N in the phase. Use when you want to pace execution or stay inside usage limits.
  • --gaps-only — Execute only gap closure plans (plans with gap_closure: true in frontmatter). Use after verify-work creates fix plans.
  • --interactive — Execute plans sequentially inline (no subagents) with user checkpoints between tasks. Lower token usage, pair-programming style. Best for small phases, bug fixes, and verification gaps.

Active flags must be derived from {{GSD_ARGS}}:

  • --wave N is active only if the literal --wave token is present in {{GSD_ARGS}}
  • --gaps-only is active only if the literal --gaps-only token is present in {{GSD_ARGS}}
  • --interactive is active only if the literal --interactive token is present in {{GSD_ARGS}}
  • If none of these tokens appear, run the standard full-phase execution flow with no flag-specific filtering
  • Do not infer that a flag is active just because it is documented in this prompt

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

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

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