用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt；运行前请先检查来源。
npx skills add https://github.com/mturac/everything-openai-codex --skill ai-first-engineering命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地？可下载 SkillsMP 当前能够提供的文件。
Use this skill to monitor and verify a deployed URL or public OSS launch surface after releases — checks HTTP endpoints, SSE streams, static assets, console errors, performance regressions, PR queue health, maintainer feedback, and listing-review blockers after deploys, merges, submissions, or dependency upgrades. Smoke / canary / post-deploy / PR-watch verification.
Build reputation-safe open-source marketing from verifiable project evidence, not hype, spam, or repeated public pings. Use for launch copy, directory targeting, community posts, proof packets, and maintainer-facing positioning.
Turn public launch, directory, community, or list rejections into repo fixes and better proof without arguing, spamming, or resubmitting blindly. Use after Hacker News, Product Hunt, GitHub list PR, marketplace, or community rejection.
基于 SOC 职业分类
正在显示 SKILL.md
| name | ai-first-engineering |
| description | 团队中人工智能代理生成大部分实施输出的工程运营模型。 |
| origin | ecc |
在为由人工智能辅助代码生成的团队设计流程、评审和架构时，使用此技能。
优先选择对智能体友好的架构：
避免隐含的行为分散在隐藏的惯例中。
评审关注：
尽量减少花在已由自动化覆盖的风格问题上的时间。
强大的人工智能优先工程师：
提高生成代码的测试标准：
