القائمة
Translate Japanese text into Chinese with support for tone, context, and output style preferences.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Aevatar scheduling & workflow automation: scheduled_agent_creator (cron/one-shot), the long-running task automation playbook, workflow creation semantics (Scope Workflow vs Ornn publish), agent_builder lifecycle, and scheduled-run credential lifetimes (5-minute broker token at fire) with a token_expired triage protocol.
Aevatar channel & delivery how-to: capability tools (code_execute, nyxid_proxy, GitHub PAT fallback, channel bots), token_expired/401 credential triage for capability tools, LLM route selection slash commands, channel_registrations (staged Lark provisioning), and agent_delivery_targets binding.
Configure and prove Aevatar codex_exec for one NyxID account, choosing either operator-managed OpenSandbox or a private NyxID node-backed SSH service. Use for managed allowlist/binding readiness, node registration, forced-command hardening, service binding, Codex authentication/workspace configuration, mandatory public-sample verification, or diagnosing managed sandbox and private SSH failures.
Mount and run harmless Aevatar workflows that prove codex_exec works through either the operator-managed OpenSandbox target or a private NyxID node-backed SSH target. Use after configuring managed access or a personal node, before real tasks, and when diagnosing identity, allowlist, binding, sandbox, service, principal, or Codex runner failures.
Decide — honestly — whether a thing the user wants to build on Aevatar is possible, what its prerequisites are, or why it cannot be done, BEFORE anyone starts building. Use this first whenever a user describes a goal rather than a concrete artifact — "can aevatar do X", "I want a bot that…", "build me something that posts to Twitter / reads my GitHub / replies on Telegram", "is it possible to…", "automate … every day", "let Lark Base trigger a workflow". It teaches the one hard premise (every third-party capability is brokered by NyxID), the two distinct surfaces (outbound connector vs inbound channel), external HTTP trigger options such as Lark Base automation, how to check what is actually connectable, the prerequisite for each capability class, what is host-gated (and so not self-serve), and what is genuinely impossible without new NyxID/Aevatar platform work — so you can negotiate scope and give the user a straight answer plus next steps instead of over-promising. It scopes; it does not build (hand off to
Entry point, panorama, and router for the entire Aevatar skill family — load this FIRST whenever someone wants to build, run, publish, schedule, externally trigger, or operate anything on Aevatar ("create an agent team", "make a workflow / member", "publish or bind a service", "register it with NyxID", "set up a recurring / cron run", "invoke my service", "let Lark Base trigger my workflow"), wants to know whether something is even possible ("can Aevatar do X?", "能不能用 aevatar 实现"), or just wants to know what Aevatar can do. It teaches the object model (scope → team → member[workflow|script|gagent] → service → schedule/external trigger), how to authenticate as a NyxID-bearer REST client, how to resolve your scope, and the two caller modes (client REST vs in-session server-side tools). It does not do the work itself — it routes you to the right companion skill (feasibility-advisor, workflow-authoring, team-builder, service-publisher, scheduler, plus diagnostics probes and the safety-net fallback), held together
استنادا إلى تصنيف SOC المهني
| name | japanese-to-chinese-translator |
| description | Translate Japanese text into Chinese with support for tone, context, and output style preferences. |
| metadata | {"category":"plain","tag":["translation","japanese","chinese","language"]} |
This skill translates Japanese text into Chinese. It is designed for general-purpose translation, including casual, formal, and business-style content.
Because translation is a native language capability of the AI agent, this is a plain skill and does not require runtime execution.
Provide:
Input (JA): "お世話になっております。来週の会議は水曜日の午後2時からでお願いします。"
Output (ZH-CN): "承蒙关照。下周会议请安排在星期三下午2点开始。"
Output (ZH-TW): "承蒙關照。下週會議請安排在星期三下午2點開始。"
