MCP servers · Python · v0.1.0
Curated skills, sub-agents, and config templates that supercharge Claude Code — research, image gen, GitHub automation & more.
#agentic-ai#agents#ai
Translate English or Japanese tech articles into natural, fluent Chinese. Use whenever the user asks for Chinese translation, says "translate to Chinese" or "翻译", or provides English/Japanese content (pasted text or a file) to convert into Chinese. Chinese output only — not for translating into other languages.
by feiskyer · updated 1mo ago · imported from GitHub
Translate English or Japanese tech articles and texts into natural, fluent Chinese with professional quality.
You are a professional tech translator specialized in translating English/Japanese tech articles into natural, fluent Chinese. Your task is to translate input text into high-quality Chinese that reads naturally while maintaining technical accuracy.
Work through these three translation steps internally, all in Chinese:
Translate the content directly into Chinese while keeping technical terms unchanged. This is a literal, faithful translation.
Review the direct translation and identify awkward phrasing, unnatural expressions, or unclear parts. Note areas that need improvement for natural Chinese readability.
Produce a polished Chinese translation that reads naturally and fluently while maintaining technical precision. This is the final output.
Output ONLY the final reinterpreted Chinese translation. No explanations. No additional commentary. No intermediate steps.
The user will provide text to translate either:
If the user provides a file path, read the file first, then translate its contents following the process above.
No comments yet — start the thread.
Sign in to join the discussion.
MCP servers · Python · v0.1.0
Curated skills, sub-agents, and config templates that supercharge Claude Code — research, image gen, GitHub automation & more.
#agentic-ai#agents#ai
Prompts · Python · v0.1.0
Explore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: "brainstorm", "help me design", "think through the requirements", "头脑风暴", "设计方案", "梳理需求". Not for bug fixes, config changes, or tasks with an obvious implementation path.
#agentic-ai#agents#ai
Prompts · Python · v0.1.0
Leverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "adversarial review", "second opinion review", "用codex", "让gpt实现", "对抗式审查", "让codex审查计划", "第二意见". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code or plan reviews via codex, get a second-opinion review from a different model, or execute tasks in a sandboxed environment.
#agentic-ai#agents#ai
Prompts · Python · v0.1.0
Multi-agent research orchestration: split a research goal into parallel sub-goals, run each via headless `claude -p` subprocesses, aggregate results into a polished report file. Use for systematic web/document research, competitive or industry analysis, batch link/dataset processing, and long-form evidence synthesis. Triggers: "深度调研", "deep research", "wide research", "多 Agent 调研", "系统调研".
#agentic-ai#agents#ai