ping-pong-coach

乒乓球教学方案生成。当用户说"帮我出一份乒乓球教学方案"、"生成乒乓球学习计划"、"帮我出一份乒乓球培训方案"，或询问乒乓球教学内容、训练计划、阶段安排时触发。输入学员性别、年龄、学乒乓球几年后，输出完整的分阶段教学方案，包括各阶段时长、技术要点、当前阶段判断和剩余学习时间估算。

Security Scan

This skill is internally consistent: it generates table-tennis teaching plans using a local Python script and a bundled curriculum file, and it does not request credentials, network access, or unusual installs.

Purpose & Capability

Name/description (乒乓球教学方案生成) match the included assets: a curriculum markdown and a small Python script to compute stages and progress. The required files are proportional to the stated purpose.

Instruction Scope

Runtime instructions ask the agent to collect user age/learning years, run scripts/calc_stage.py and read references/curriculum.md — all relevant to producing the teaching plan. Minor inconsistency: SKILL.md expects running 'python3 scripts/calc_stage.py' but the manifest lists no required binaries; ensure the runtime provides python3.

Install Mechanism

No install spec and no external downloads; the skill is instruction-plus-local-files only, so nothing is pulled from the network or written to system paths during install.

Credentials

The skill declares no environment variables, no credentials, and the code does not access environment secrets or unrelated config paths. All inputs are user-provided (age, years).

Persistence & Privilege

always is false, the skill doesn't request persistent system privileges, and it does not modify other skills or global agent configuration.

Assessment

This skill looks coherent and self-contained: it uses a bundled Python script and curriculum file to produce stage-based training plans and does not ask for credentials or network access. Before installing, confirm your environment has python3 available if you expect the agent to execute the script, and review references/curriculum.md if you want to verify the training content. If you run the skill in an environment where running arbitrary scripts is restricted, consider running the calc_stage.py locally yourself or ask the agent to produce the plan purely from the curriculum text instead of executing code.

乒乓球教练技能

根据学员基本信息（性别、年龄、学习年限），生成一套完整的乒乓球教学方案。

输入信息

生成方案前，需要从用户那里收集：

• 性别（男/女，可选）
• 年龄（5-60 岁）
• 学乒乓球几年（学习年限，用于判断当前阶段和剩余时间）

如果用户只给了部分信息，用已有信息生成方案，并在结尾标注"缺少以下信息：xxx"。

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使用方式

1. 判断触发：用户提到乒乓球教学方案、学习计划、培训方案等 → 激活本技能
2. 收集信息：向用户确认年龄和学习年限（如未提供）
3. 运行脚本：执行 scripts/calc_stage.py <学习年限> [年龄] 获取阶段分析
4. 读取课程体系：加载 references/curriculum.md 获取各阶段详情
5. 组装方案：按模板输出完整教学方案

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输出方案模板

📋 乒乓球教学方案
==================
👤 学员信息：X岁，性别（男/女），学习X年

📊 当前阶段分析
（来自 calc_stage.py 输出）

📖 完整教学路径（共7阶段）

--- 第1阶段：定型握拍站姿球感 ---
⏱ 建议时长：1-3个月
🎯 核心目标：...
📝 技术要点：
  • 握拍法：...
  • 站姿：...
  • 球感训练：...
✅ 达标表现：...

--- 第2阶段：正反手基础定点单项 ---
...（以此类推）

--- 第X阶段：当前阶段 ---
⭐ 重点标注：这是您目前所处的阶段，需要重点加强...
（该阶段内容加粗显示）

（共7阶段全部列出）

💡 年龄段建议（根据学员年龄补充）
  • 5-12岁儿童：...
  • 13-18岁青少年：...
  • 19-40岁成人：...
  • 41-60岁中老年：...

⚡ 下一步建议
  给出3条针对该学员现状的可执行建议

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阶段计算脚本

文件： scripts/calc_stage.py

用法：

python3 scripts/calc_stage.py <学习年限> [年龄]

示例：

python3 scripts/calc_stage.py 1.5 10

功能：

• 根据学习年限判断当前处于哪个阶段
• 计算总体进度和剩余学习时间
• 识别是否已超越全部阶段，进入特长打磨期

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课程体系参考

详细课程内容（含时长、技术要点、达标表现）见： references/curriculum.md

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注意事项

• 年龄段教学重点差异很大，务必在方案中加入年龄段建议
• 学习年限精确到小数点后1位（如 1.5 年 = 18 个月）
• 7个阶段是完整路径，成人可适当加速但不宜跳阶段
• 方案以实用性为主，技术要点要具体可操作