Best use case
retirement_age is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
根据用户的职位信息、性别、出生年月计算该用户的退休时间
Teams using retirement_age should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/retire-age/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How retirement_age Compares
| Feature / Agent | retirement_age | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
根据用户的职位信息、性别、出生年月计算该用户的退休时间
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# Retirement Age Calculator
根据中国渐进式延迟退休政策，计算用户的退休时间和退休年龄。
## 使用示例
```bash
uv run {baseDir}/scripts/calculate_age.py \
--birth-year 1970 \
--birth-month 5 \
--role "男性"
```
## 参数说明
| 参数 | 说明 |
|------|------|
| `--birth-year` | 出生年份（如 1970） |
| `--birth-month` | 出生月份（1-12） |
| `--role` | 职位类型：`男性`、`女职工`、`女干部` |
## 退休政策说明
根据 2024 年 9 月发布的渐进式延迟退休政策：
- **男性**：从 60 岁逐步延迟到 63 岁（1965-1976 年出生为过渡期）
- **女职工**：从 50 岁逐步延迟到 55 岁（1975-1984 年出生为过渡期）
- **女干部**：从 55 岁逐步延迟到 58 岁（1970-1981 年出生为过渡期）
## 输出示例
```json
{
"retirement_time": "2031年10月",
"retirement_age": "61岁5个月"
}
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