AI Skill Hub 推荐使用：AI-Powered Career Skills SIMulator 是一款优质的Prompt模板。AI 综合评分 7.5 分，在同类工具中表现稳健。如果你正在寻找可靠的Prompt模板解决方案，这是一个值得深入了解的选择。
一个开源的Prompt模板，用于AI-Powered Career Skills SIMulator，突出其AI和技能模拟的价值
AI-Powered Career Skills SIMulator 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力，让 AI 生成更准确、更有价值的输出结果。无需任何安装，直接复制模板内容到 AI 对话框即可使用。
一个开源的Prompt模板，用于AI-Powered Career Skills SIMulator，突出其AI和技能模拟的价值
AI-Powered Career Skills SIMulator 是经过精心设计和反复验证的专业 Prompt 模板集合。这些 Prompt 框架能够有效激活 Claude、ChatGPT 等大型语言模型的深层能力，让 AI 生成更准确、更有价值的输出结果。无需任何安装，直接复制模板内容到 AI 对话框即可使用。
# Prompt 无需安装，直接复制使用 # 支持：Claude / ChatGPT / Gemini / 通义千问 等主流模型 # 使用步骤 # 1. 复制 Prompt 模板内容 # 2. 粘贴到 AI 对话框 # 3. 替换 [占位符] 为实际内容 # 4. 发送后获取结构化输出 # 获取原始文件 git clone https://github.com/lf1up/careersim
# 粘贴到 Claude/ChatGPT 使用 # 示例 Prompt 结构： 你是一位 [角色]，擅长 [领域]。 请根据以下要求完成任务： 任务背景：[描述背景] 具体要求：[详细说明] 输出格式：[期望格式] # 将 [] 内内容替换为实际需求
# careersim 配置说明 # 查看配置选项 careersim --config-example > config.yml # 常见配置项 # output_dir: ./output # log_level: info # workers: 4 # 环境变量（覆盖配置文件） export CAREERSIM_CONFIG="/path/to/config.yml"
CareerSIM is a direct-to-consumer (B2C) web application that helps individuals master critical career skills through hyper-realistic, AI-powered simulations. Users practice challenging professional situations — from behavioral interviews to difficult conversations — in a safe, repeatable environment and receive immediate, data-driven feedback to accelerate their personal and professional growth.
The platform empowers users to build confidence and competence for career-defining moments. By leveraging a LangGraph-based generative AI engine, CareerSIM provides dynamic, conversational practice with a diverse cast of AI personas, moving beyond rote memorization to foster genuine skill development.
<img src="./docs/assets/careersim-negotiation-arcade.png" alt="CareerSIM salary negotiation practice shown as a retro pixel art arcade battle" width="960" />
[!NOTE] Repository is mid-migration. The active runtime isapi/+web/+agent/+postgres+redis, with a standalone static marketing site inlanding/. Four earlier services (backend/,frontend/,rag/,transformers/) are still in the tree for reference only and are flagged as deprecated in both their own READMEs anddocker-compose.local.yml. Do not build new features against them.
api/; Node.js ≥ 20 for landing/ and web/; pnpm ≥ 10[uv](https://docs.astral.sh/uv/) (for running agent/ outside Docker)cd agent && uv run python -m careersim_agent.main & cd agent && uv run python test_simulation.py --list cd agent && uv run python test_simulation.py \ --sim recruiter-coldreach-vikram --auto --log --json ```
See agent/README.md for the full flag table and the convention for adding SIMULATION_PROMPTS entries when introducing a new simulation.
```bash
docker compose -f docker-compose.local.yml up --build ```
This starts:
| URL | Service |
|---|---|
| [http://localhost:3000](http://localhost:3000) | web — Next.js app |
| [http://localhost:8000](http://localhost:8000) | api — Fastify API |
| [http://localhost:8000/docs](http://localhost:8000/docs) | API Swagger UI (zod schemas → OpenAPI) |
| [http://localhost:8001](http://localhost:8001) | agent — FastAPI (stateless) |
| [http://localhost:8001/docs](http://localhost:8001/docs) | Agent Swagger UI |
| localhost:5432 | PostgreSQL (careersim / careersim_password) |
| localhost:6379 | Redis |
The api container runs Drizzle migrations on start; no manual seeding needed. Register a new user from the web UI (there is no default admin account — that concept belonged to the legacy backend/).
Useful when you want a faster hot-reload loop for a single service. Each subdirectory has its own README with detailed flags.
```bash
cp agent/.env.example agent/.env # set OPENAI_API_KEY + model names cp api/.env.example api/.env # set JWT_SECRET (min 16 chars) cp web/.env.example web/.env # usually OK as-is; NEXT_PUBLIC_API_URL=http://localhost:8000
| Legacy directory | Replaced by | Notes |
|---|---|---|
backend/ (Express + TypeORM + Socket.IO + Stripe) | api/ | REST surface, JWT, and SSE streaming fully rewritten on Fastify. |
frontend/ (Vite + React 18 SPA) | web/ | Retro theme ported 1:1; admin panel / analytics dashboards dropped — the new API doesn't back them yet. |
transformers/ (FastAPI + HuggingFace sentiment / emotion / toxicity) | agent/ | Evaluation now happens in-process via an LLM eval model (OPENAI_EVAL_MODEL). |
rag/ (FastAPI + ChromaDB service) | agent/ | Chroma is embedded directly in the agent; no HTTP boundary. |
Each of those directories carries a > [!WARNING] DEPRECATED banner at the top of its README. They are also commented out in docker-compose.local.yml under a deprecation block and will be removed in a future clean-up pass.
cd api && pnpm install && pnpm db:migrate && pnpm dev # :8000
cd agent && uv sync && uv run python -m careersim_agent.main --serve api --port 8001
cd api && pnpm test # vitest (pglite + FakeAgent — no OpenAI, no network) cd api && pnpm e2e # interactive CLI against a live stack cd api && pnpm typecheck
cd agent && uv run python test_simulation.py --list cd agent && uv run python test_simulation.py \ --sim recruiter-coldreach-vikram --auto --log --json ```
该项目是一个开源的Prompt模板，用于AI-Powered Career Skills SIMulator，具有AI和技能模拟的价值，但需要进一步的开发和完善
AI Skill Hub 为第三方内容聚合平台，本页面信息基于公开数据整理，不对工具功能和质量作任何法律背书。
建议在沙箱或测试环境中充分验证后，再部署至生产环境，并做好必要的安全评估。
✅ MIT 协议 — 最宽松的开源协议之一，可自由商用、修改、分发，仅需保留版权声明。
总体来看，AI-Powered Career Skills SIMulator 是一款质量良好的Prompt模板，在同类工具中具备一定竞争力。AI Skill Hub 将持续追踪其更新动态，建议收藏备用，结合自身场景选择合适时机引入使用。
| 原始名称 | careersim |
| 原始描述 | 开源Prompt模板：AI-Powered Career Skills SIMulator。⭐10 · TypeScript |
| Topics | promptaifastapifastifylanggraphllmtypescript |
| GitHub | https://github.com/lf1up/careersim |
| License | MIT |
| 语言 | TypeScript |
收录时间：2026-05-17 · 更新时间：2026-05-18 · License：MIT · AI Skill Hub 不对第三方内容的准确性作法律背书。
选择 Agent 类型，复制安装指令后粘贴到对应客户端