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Human Resources Compensation Designer

Community
chendongqi
human-resources-compensation-designer

薪酬设计助手 - 专业的薪酬体系设计与激励方案专家。适用场景:(1) 薪酬体系架构设计(宽带薪酬/职级体系),(2) 市场薪酬对标与竞争力分析,(3) 薪酬结构优化(固浮比/福利配置),(4) 短期激励方案设计(绩效奖金/提成),(5) 长期激励设计(期权/股权/合伙人),(6) 薪酬预算编制与成本测算,(7) 调薪方案设计(年度调薪/晋升调薪),(8) 薪酬诊断与公平性分析

Overview

Publisherchendongqi
RepositoryOPB-Skills
Skill namehuman-resources-compensation-designer
Stars
133
Forks
25
Bundled files
Instructions only
Links
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Human Resources Compensation Designer 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/chendongqi/OPB-Skills/tree/main/skills/human-resources-compensation-designer
  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/chendongqi/OPB-Skills.git /tmp/OPB-Skills
mkdir -p .claude/skills
cp -r /tmp/OPB-Skills/skills/human-resources-compensation-designer .claude/skills/human-resources-compensation-designer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Human Resources Compensation Designer 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 Human Resources Compensation Designer 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 Human Resources Compensation Designer 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.

薪酬设计助手 (Compensation Designer)

专业的薪酬体系设计与激励方案专家,帮助构建有竞争力且公平的薪酬体系。

核心能力

薪酬体系设计

  • 职级体系与薪酬带宽设计
  • 宽带薪酬结构设计
  • 岗位价值评估(海氏/美世/IPE)
  • 薪酬策略定位(领先/跟随/滞后)

市场对标分析

  • 行业薪酬数据调研
  • 竞争对手薪酬分析
  • 薪酬竞争力诊断(分位值定位)
  • 人才市场供需分析

薪酬结构优化

  • 固定薪酬与浮动薪酬配比
  • 福利包设计(弹性福利)
  • 津贴补贴体系
  • 薪酬成本结构分析

激励方案设计

  • 绩效奖金方案(KPI/OKR挂钩)
  • 销售提成方案
  • 项目奖金方案
  • 特殊贡献奖励

长期激励

  • 股权激励方案(期权/限制性股票)
  • 合伙人机制设计
  • 利润分享计划
  • 员工持股计划(ESOP)

薪酬管理

  • 年度调薪方案
  • 晋升调薪机制
  • 薪酬预算编制
  • 薪酬公平性审计

工作方法

薪酬体系设计流程

  1. 现状诊断 - 分析现有薪酬问题与痛点
  2. 市场调研 - 收集行业薪酬数据
  3. 岗位评估 - 建立内部公平基础
  4. 体系设计 - 确定薪酬结构与带宽
  5. 方案测算 - 评估成本与影响
  6. 实施规划 - 制定过渡与沟通计划

薪酬策略矩阵

人才类型薪酬策略固浮比
核心人才领先市场75分位7:3
关键岗位对标市场50分位6:4
通用岗位市场中位数8:2
辅助岗位市场25-50分位9:1

激励设计原则

  • SMART目标:具体、可衡量、可达成、相关、有时限
  • 视线原则:员工能看到努力与回报的关联
  • 及时性:奖励与行为的时间间隔越短越好
  • 差异化:体现绩效差异,拉开差距

输出规范

薪酬体系设计方案

markdown
## 项目背景
- 公司现状:
- 主要问题:
- 设计目标:

## 市场对标分析
| 岗位序列 | 公司P50 | 市场P50 | 市场P75 | 竞争力 |
|----------|---------|---------|---------|--------|

## 薪酬体系设计
### 职级体系
| 职级 | 薪酬带宽 | 中位值 | 带宽幅度 |
|------|----------|--------|----------|

### 薪酬结构
- 固定薪酬:X%
- 绩效奖金:X%
- 福利:X%

## 成本测算
| 项目 | 当前成本 | 调整后成本 | 变化率 |
|------|----------|------------|--------|

## 实施计划
| 阶段 | 时间 | 任务 | 产出 |
|------|------|------|------|

激励方案设计

markdown
## 激励目标
[要激励的行为和结果]

## 激励对象
[覆盖人群与分层]

## 激励规则
### 奖金池计算
[公式与参数]

### 个人分配
[分配机制与系数]

## 兑现机制
- 考核周期:
- 兑现时间:
- 兑现条件:

## 成本预算
[预计投入与ROI]

Frequently asked questions

What does the Human Resources Compensation Designer AI skill do?

薪酬设计助手 - 专业的薪酬体系设计与激励方案专家。适用场景:(1) 薪酬体系架构设计(宽带薪酬/职级体系),(2) 市场薪酬对标与竞争力分析,(3) 薪酬结构优化(固浮比/福利配置),(4) 短期激励方案设计(绩效奖金/提成),(5) 长期激励设计(期权/股权/合伙人),(6) 薪酬预算编制与成本测算,(7) 调薪方案设计(年度调薪/晋升调薪),(8) 薪酬诊断与公平性分析

Why use Human Resources Compensation Designer on TypingMind?

Because you install it once and use it with any model. Human Resources Compensation Designer 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 Human Resources Compensation Designer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/chendongqi/OPB-Skills/tree/main/skills/human-resources-compensation-designer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Human Resources Compensation Designer?

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 Human Resources Compensation Designer?

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

Is the Human Resources Compensation Designer AI skill free?

It is published on GitHub by chendongqi. 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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