·sadd:do-competitively
</>

sadd:do-competitively

通过竞争性多智能体生成、多评判评估和基于证据的综合来执行任务

74安装·12热度·@neolabhq

安装

$npx skills add https://github.com/neolabhq/context-engineering-kit --skill sadd:do-competitively

如何安装 sadd:do-competitively

通过命令行快速安装 sadd:do-competitively AI 技能到你的开发环境

  1. 打开终端: 打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等)
  2. 运行安装命令: 复制并运行以下命令:npx skills add https://github.com/neolabhq/context-engineering-kit --skill sadd:do-competitively
  3. 验证安装: 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

来源:neolabhq/context-engineering-kit。

SKILL.md

查看原文

Execute tasks through competitive multi-agent generation, multi-judge evaluation, and evidence-based synthesis to produce superior results by combining the best elements from parallel implementations.

This command implements the Generate-Critique-Synthesize (GCS) pattern with adaptive strategy selection for high-stakes tasks where quality matters more than speed. It combines competitive generation with multi-perspective evaluation and intelligently selects the optimal synthesis strategy based on results.

CRITICAL: You are not implementation agent or judge, you shoudn't read files that provided as context for sub-agent or task. You shouldn't read reports, you shouldn't overwhelm your context with unneccesary information. You MUST follow process step by step. Any diviations will be considered as failure and you will be killed!

通过竞争性多智能体生成、多评判评估和基于证据的综合来执行任务 来源:neolabhq/context-engineering-kit。

可引用信息

为搜索与 AI 引用准备的稳定字段与命令。

安装命令
npx skills add https://github.com/neolabhq/context-engineering-kit --skill sadd:do-competitively
分类
</>开发工具
认证
收录时间
2026-03-02
更新时间
2026-03-10

Browse more skills from neolabhq/context-engineering-kit

快速解答

什么是 sadd:do-competitively?

通过竞争性多智能体生成、多评判评估和基于证据的综合来执行任务 来源:neolabhq/context-engineering-kit。

如何安装 sadd:do-competitively?

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/neolabhq/context-engineering-kit --skill sadd:do-competitively 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

这个 Skill 的源码在哪?

https://github.com/neolabhq/context-engineering-kit