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Beisen Employee Profile

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infometa
beisen-employee-profile

北森员工档案查询。本 Skill 用于查询员工基本信息、任职信息、语言能力、教育背景、考核结果、证书执照、项目经历、专业技能、工作履历、表彰奖励、晋升结果。所有查询通过 beisen-data-query 通用数据查询流水线执行。当用户询问个人信息、任职、学历、绩效、证书、项目、技能、履历、奖项、晋升等员工档案相关问题时触发。

Overview

Publisherinfometa
Repositoryworkbuddyskills
Skill namebeisen-employee-profile
Stars
376
Forks
124
Bundled files
3
Links
Skill sourceRepository
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by infometa on GitHub. Read the source before you install it.

Installation

Install the Beisen Employee Profile AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/infometa/workbuddyskills/tree/main/connectors/beisen-cli/skills/beisen-employee-profile
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/infometa/workbuddyskills.git /tmp/workbuddyskills
mkdir -p .claude/skills
cp -r /tmp/workbuddyskills/connectors/beisen-cli/skills/beisen-employee-profile .claude/skills/beisen-employee-profile
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Beisen Employee Profile in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Beisen Employee Profile on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Beisen Employee Profile is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

员工档案

CRITICAL — 开始前 MUST 读取：

  1. ../beisen-shared/SKILL.md — 认证、安全规则、门禁协议
  2. ../beisen-data-query/SKILL.md — 通用数据查询流水线（本 Skill 所有场景均走此流水线）

路由优先级

本 Skill 处理：员工个人档案的查询（基础信息 + 扩展属性）

不归本 Skill 处理：

场景清单

以下场景统一使用 beisen-data-query 的 SceneTool → SceneToolMessage → SearchFormTool → BusinessDataTool → 生成回答 → 展示关联菜单 6 步流水线：

基础信息类

场景对应北森查询场景敏感等级
查询员工基本信息、任职信息租户配置的"员工档案"/"任职信息"场景L1
查询员工语言能力租户配置的"语言能力"场景L1
查询教育背景租户配置的"教育背景"场景L1

教育技能类

场景对应北森查询场景敏感等级
查询证书执照租户配置的"证书执照"场景L1
查询专业技能租户配置的"专业技能"场景L1
查询项目经历租户配置的"项目经历"场景L1
查询工作履历租户配置的"工作履历"场景L1

绩效晋升类（L2 敏感）

场景对应北森查询场景敏感等级
查询考核结果租户配置的"考核结果"场景L2
查询表彰与奖励租户配置的"表彰与奖励"场景L1
查询晋升结果租户配置的"晋升结果"场景L2

实际查询场景名称由租户在后台配置决定，Agent 必须通过 SceneTool 动态获取，不可硬编码。

执行原则

  • 所有查询走 beisen-data-query 流水线，Agent 按 6 步流程执行
  • 默认查询当前用户自己的信息（员工字段 value="当前用户"）
  • 查询他人信息时，员工字段 value 填具体人名；查询团队时 value 不传
  • 考核结果、晋升结果属于 L2 敏感数据：
    • 查自己 → 完整展示
    • 查他人 → 仅展示摘要，不回显原始 JSON
  • dataList 中的员工字段值已含消歧信息（如"姓名(部门)"），直接使用
  • 多轮对话时，结合上下文将代词替换为前文已出现的具体人名

参数提取要点

  • 员工字段：查自己 → "当前用户"；查他人 → 具体人名；查团队 → 不传
  • 日期字段：用户未提及日期时不传该字段
  • 选项字段：从 dataSourceItems 匹配用户表达，value 填匹配项的 id
  • 详细提取规则见 ../beisen-data-query/references/business-rules.md

Playbook 案例

案例 1：查询自己的基本信息

用户问："我的任职信息是什么？"

执行步骤：

  1. 前置检查
  2. 按 beisen-data-query 6 步流水线执行
  3. SceneTool 匹配"员工档案"/"任职信息"场景
  4. SearchFormTool 获取字段，员工字段 value="当前用户"
  5. BusinessDataTool 查询数据
  6. 生成回答，展示关联菜单

案例 2：查询他人考核结果（L2 敏感）

用户问："李白最近的考核结果怎么样？"

执行步骤：

  1. 前置检查
  2. 按 6 步流水线执行，员工字段 value="李白"
  3. 查询结果为 L2 敏感数据，仅展示摘要
  4. 不回显原始 JSON

详细参考

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Beisen Employee Profile AI skill do?

北森员工档案查询。本 Skill 用于查询员工基本信息、任职信息、语言能力、教育背景、考核结果、证书执照、项目经历、专业技能、工作履历、表彰奖励、晋升结果。所有查询通过 beisen-data-query 通用数据查询流水线执行。当用户询问个人信息、任职、学历、绩效、证书、项目、技能、履历、奖项、晋升等员工档案相关问题时触发。

Why use Beisen Employee Profile on TypingMind?

Because you install it once and use it with any model. Beisen Employee Profile is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Beisen Employee Profile in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/infometa/workbuddyskills/tree/main/connectors/beisen-cli/skills/beisen-employee-profile. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Beisen Employee Profile?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Beisen Employee Profile?

As many as you like. As long as a model supports skills, you can use Beisen Employee Profile with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Beisen Employee Profile AI skill free?

It is published on GitHub by infometa. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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