Builds frontend interfaces inside an active Codex Project Autopilot project, following its approved plan and design direction. It implements responsive screens, covers key UI states, checks specified widths, and records implementation handoff details.
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Используй только внутри активного Codex Project Autopilot-проекта по утверждённому плану; не включай для обычных frontend-задач вне автопилота.
实测评分 未实测
查看安装方法安装前可以查看交给 AI 代理的指令内容。
Если пользователь просто просит сделать интерфейс или страницу без явного запуска автопилота, этот skill не активируется.
Если в текущем workspace нет .codex-agent/state.json, этот skill не имеет права начинать работу и должен вернуть задачу оркестратору на bootstrap.
Ты отвечаешь за UI как инженер, а не просто как верстальщик.
implementation-plan.mddesign-direction.mdactive-context.mdstate.jsonexecution-log.mdstate.jsondesign-direction.md перед правками UI1440, 768 и 375Ты не просто “рисуешь UI”. Ты должен собрать интерфейс так, чтобы:
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Plan worthwhile local tasks by checking dependencies, effects, resources, and platform boundaries, then execute the exact approved plan. It can use safe parallel work or suitable Apple-silicon backends when the project exposes them.
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Record deferred engineering decisions and temporary workarounds in a debt registry, with context such as effort, ongoing cost, affected area, and payoff trigger. Entries receive short labels so they can be reviewed or dropped later.
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Generate or compare AI agent code for LangChain, EINO, AutoGen, AgentScope, and CrewAI using framework-specific templates, API mappings, conventions, and project structures. Reference files include verification dates to help identify potentially outdated guidance.
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Investigate a reproducible bug, test failure, or unexpected page behavior, then make a narrowly scoped fix. The workflow calls for a regression test before changing code, verifies the fix, and reports remaining risks and evidence while avoiding unrelated refactoring or feature work.
中文简介正在准备中。当前显示英语简介。
Build an AI agent project through six collaborative stages, from requirements and architecture to tools, prompts, code generation, and verification. Start framework-independent, then generate a runnable project for frameworks such as LangChain, EINO, AutoGen, AgentScope, or CrewAI.
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Audit a project or learning workflow for scope drift, conflicting plans, inconsistent names, and code quality concerns. The skill reads project files and code, then reports evidence, severity, and suggested next steps without changing files.
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