✨ feat(agent): add ai-job-transition-resume and learn-anything agents

[bob798]

• ai-job-transition-resume: AI 岗位转型简历优化助手，帮助用户把现有经历转化为符合 AI 工程师/售前等岗位要求的竞争力叙述
• learn-anything: 结构化学习策略专家，帮助用户用最短路径掌握任何新技术或技能

📝 信息 | Information

✅ 检查列表 | Checklist:

• 我已阅读了 Readme.md
• 描述是用英文编写的。
• meta.json 和 agent_template.json 没有被修改过。
• entry 放置在 agents 目录中，并且使用 .json 文件扩展名。

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• I have read the Readme.md
• The description is written in English.
• The meta.json and agent_template.json have not been modified.
• The entry is placed in the agents directory with the .json file extension.

Summary by Sourcery

Add two new Chinese-language agents for AI job transition resume optimization and structured learning planning.

New Features:

• Introduce the ai-job-transition-resume zh-CN agent configuration to help users adapt existing experience to AI-related roles.
• Add the learn-anything zh-CN agent configuration to guide users in efficiently mastering new technologies or skills.

[sourcery-ai]

Reviewer's guide (collapsed on small PRs)

Reviewer's Guide

Adds two new Chinese-language agents, one for AI job-transition resume optimization and one for structured learning planning, by introducing their agent JSON definitions without modifying shared templates or metadata.

File-Level Changes

Change	Details	Files
Introduce AI job-transition resume optimization agent configuration.	Create a new zh-CN agent entry defining an assistant that transforms a user’s existing experience into narratives tailored to AI engineer / AI presales roles. Specify prompt/instructions, role definition, and likely default parameters (language, tone, target positions, constraints) for the resume-optimization workflow. Ensure the new agent file integrates with the existing agents loading mechanism by following the standard JSON structure and naming/locale conventions.	src/ai-job-transition-resume.zh-CN.json
Introduce structured learning-strategy agent configuration for learning any new technology or skill.	Create a new zh-CN agent entry defining an assistant that designs shortest-path, structured learning plans for arbitrary topics. Specify prompt/instructions, role definition, and likely default parameters (goal clarification, prerequisite assessment, roadmap breakdown, practice/feedback loops). Ensure the new agent file conforms to the existing agent schema so it is discoverable and usable by the host application.	src/learn-anything.zh-CN.json

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[lobehubbot]

👍 @bob798

Thank you for raising your pull request and contributing to our Community
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[sourcery-ai]

Hey - I've left some high level feedback:

• The new agent JSON files are added under src/, but the project checklist specifies that entries should live in the agents directory, so please move them to match the existing structure.
• Compare the structure and key naming in these new agent JSON files with existing *.zh-CN.json agents to ensure consistent fields (e.g., role, style, and prompt sections) and avoid diverging schema conventions.

Prompt for AI Agents

Please address the comments from this code review:

## Overall Comments
- The new agent JSON files are added under `src/`, but the project checklist specifies that entries should live in the `agents` directory, so please move them to match the existing structure.
- Compare the structure and key naming in these new agent JSON files with existing `*.zh-CN.json` agents to ensure consistent fields (e.g., role, style, and prompt sections) and avoid diverging schema conventions.

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[ONLY-yours]

现在这个仓库已经draft了，请直接在 app.lobehub.com 或者自部署上，上传你的 agent 直接到市场中即可 @bob798