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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。
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Based on SOC occupation classification
| 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：
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Runs on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
Open plans and HTML artifacts in a local browser canvas where the human annotates elements, chats, and approves or requests changes without leaving the page. Use when presenting a plan for review, or when feedback like "move this, change that" is easier pointed at than typed.
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents. v2.1 adds project-scoped instincts to prevent cross-project contamination.
基于本能的学习系统，通过钩子观察会话，创建带置信度评分的原子本能，并将其进化为技能/命令/代理。v2.1版本增加了项目范围的本能，以防止跨项目污染。
任意の自動コンパクションではなく、タスクフェーズを通じてコンテキストを保持するための論理的な間隔での手動コンパクションを提案します。
