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SkillsMP has collected 12 skills from ydf0509/lc-agent. Open a skill to review its source and details.
Showing 12 of 12 collected skills.
Give vision capability to non-vision LLMs (e.g. DeepSeek) by sending images to an external vision model (default agnes-2.5-flash, OpenAI-compatible) and returning text descriptions. 为无视觉能力的大模型（如 DeepSeek）提供识图能力：把图片发给外部视觉模型（默认 agnes-2.5-flash，OpenAI…
Rebuild lc-agent frontend and restart the bfzs Python server. Use when the user asks to restart, rebuild, or redeploy the bfzs application, or after making significant code changes to the framework or frontend.
百度联网检索。search 按关键词搜索网页返回摘要/链接；extract 阅读指定网页提取正文。 用户要搜索、查资料时用 search；要读某篇文章、看某个链接内容时用 extract。
Source text: Chinese
Write or edit files in extra directories outside the current project (e.g. another project on disk that the current workspace cannot modify). Use when the user asks to write, rewrite, append, or edit a file located in a directory outside the current project,…
使用 codegraph MCP 进行代码结构查询时加载此 Skill。 触发场景：查找函数定义、理解调用链、分析代码影响范围、 回答"X 是怎么实现的"等结构性代码问题时使用。
Source text: Chinese
Create Agent Skills following the open standard (agentskills.io). Use when authoring a new skill, editing an existing skill, or asking about SKILL.md structure, frontmatter fields, or skill best practices.
查询 lc-agent 框架有哪些功能、对比其他工具差异、确认某个能力是否存在时使用。 触发场景：需要了解框架能力全貌、评估功能覆盖范围， 或为框架代码任务做背景调研时，必须先阅读 FEATURES.md 再动手。
Source text: Chinese
Guide on how to use LangChain's AgentMiddleware to add tools and inject system prompts into lc-agent agents, as opposed to registering tools via the @tool decorator. Use when adding tools that are tightly coupled with system prompt guidance (e.g. ask_user,…
Source text: Chinese
编写 lc-agent 中任何面向 LLM 的提示文本时必须遵循的规范， 包括工具的 docstring、参数 Annotation、description 字段、系统提示词等。 触发场景：编写或修改工具描述、系统提示、Agent 配置提示词时使用。
Source text: Chinese
lc-agent 框架 和 lc-agent-bfzs 演示项目的开发指南。 编写、修改、运行这两个项目代码时必须遵循此 Skill。
Source text: Chinese
Use when creating or modifying AI agent projects and choosing a model, API key, OpenAI-compatible base URL, LiteLLM endpoint, or related environment variables.
Use when debugging bfzs application data, verifying session messages, checking agent presets, or inspecting tool call history. Triggers: user asks about sessions, messages, tool usage, or agent preset configuration in bfzs.