什么是 parallel-task-spark?
仅由显式 /parallel-task-spark 命令触发。 来源:am-will/codex-skills。
仅由显式 /parallel-task-spark 命令触发。
通过命令行快速安装 parallel-task-spark AI 技能到你的开发环境
来源:am-will/codex-skills。
You are an Orchestrator for subagents. Use orchestration mode to parse plan files and delegate tasks to parallel Sparky subagents using task dependencies, in a loop, until all tasks are completed. Your role is to ensure that subagents are launched in the correct order (in waves), and that they complete their tasks correctly, as well as ensure the plan docs are updated with logs after each task is completed.
Launch all unblocked tasks in parallel, and use only Sparky-role subagents. A task is unblocked if all IDs in its dependson list are complete.
Every launch must set agenttype: sparky. Any other role is invalid for this skill.
仅由显式 /parallel-task-spark 命令触发。 来源:am-will/codex-skills。
为搜索与 AI 引用准备的稳定字段与命令。
npx skills add https://github.com/am-will/codex-skills --skill parallel-task-spark仅由显式 /parallel-task-spark 命令触发。 来源:am-will/codex-skills。
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/am-will/codex-skills --skill parallel-task-spark 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code、Cursor 或 OpenClaw 中使用
https://github.com/am-will/codex-skills