marshall0524/ai-first-engineering
docs/zh-CN/skills/ai-first-engineering/SKILL.md
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。
$ install --global
skillsauthnpx skillsauth add marshall0524/everythingclaudecode ai-first-engineeringInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
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Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
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OSV-ScannerOpen Source Vulnerability database check
50%
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OWASP Dep-Check
50%
Last scanned: Mar 29, 2026, 5:53 AM36.6s1 file scanned
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
人工智能优先工程
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。
流程转变
- 规划质量比打字速度更重要。
- 评估覆盖率比主观信心更重要。
- 评审重点从语法转向系统行为。
架构要求
优先选择对智能体友好的架构：
- 明确的边界
- 稳定的契约
- 类型化的接口
- 确定性的测试
避免隐含的行为分散在隐藏的惯例中。
人工智能优先团队中的代码评审
评审关注：
- 行为回归
- 安全假设
- 数据完整性
- 故障处理
- 发布安全性
尽量减少花在已由自动化覆盖的风格问题上的时间。
招聘和评估信号
强大的人工智能优先工程师：
- 能清晰地分解模糊的工作
- 定义可衡量的验收标准
- 生成高价值的提示和评估
- 在交付压力下执行风险控制
测试标准
提高生成代码的测试标准：
- 对涉及的领域要求回归测试覆盖率
- 明确的边界情况断言
- 接口边界的集成检查
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