Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ace3000chao/book2startup --skill first-rate-talent-coachgit clone --depth 1 https://github.com/ace3000chao/book2startupWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/ace3000chao/book2startup/first-rate-talent-coach)<a href="https://agentmods.dev/skills/ace3000chao/book2startup/first-rate-talent-coach"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/first-rate-talent-coach/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/ace3000chao/book2startup/first-rate-talent-coach"><img src="https://agentmods.dev/badge/skills/ace3000chao/book2startup/first-rate-talent-coach.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00087 | $0.02008 |
| Opus 5 | $0.00044 | $0.01004 |
| Sonnet 5 | $0.00017 | $0.00402 |
| Haiku 4.5 | $0.00009 | $0.00201 |
Grade A, and why
first-rate-talent-coach scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
First-Rate Talent Needs Coach
R — 原文 (Reading)
"No one has ever achieved peak performance without a coach."
— Verne Harnish, Scaling Up, 第5章
I — 方法论骨架 (Interpretation)
Scaling Up 的这个原则颠覆了一个常见认知：顶尖人才不需要监督，只需要教练。这是领导力从"管控"到"激发"转变的核心标志。
顶级运动员有教练，顶级CEO有教练，顶级音乐家有教练——因为教练能在你看不见自己的盲点时给你反馈，在你放弃时逼你再撑一次，在你需要战略视角时给你更高的观察点。
对于A类人才来说：他们已经知道怎么做好工作，真正需要的是一个能帮助他们突破当前天花板、进入下一个层级的对话者。这不是培训，不是指导，是一对一的深度教练。
关键区分：coach vs boss。boss 分配任务、检查结果；coach 发现潜能、拆掉限制、逼你成长。
A1 — 书中的应用 (Past Application)
案例 1: 某CEO的高管教练投资
- 问题: 创始人从技术岗位成长到CEO，感觉在战略决策和团队领导上遇到了自己无法突破的瓶颈，但内部没有能辅导他的人。
- 方法论的使用: 聘请了一位有两次CEO经验的前任企业家作为月度教练，每月4小时对话。一开始CEO觉得"我知道这些"，三个月后发现自己的思维模式盲点。
- 结论: 教练的价值不在于告诉你新知识，而在于用新视角拆解你的旧模式。
- 结果: 一年后，这位CEO在团队领导力评估中的分数从65分提升到82分，公司年收入增长40%。
案例 2: 销售总监的绩效辅导重塑
- 问题: 一位年销售额超过5000万的销售总监，团队有10人，但管理方式是一对一检查日报——实际上是用执行细节替代了真正的辅导。
- 方法论的使用: 引入外部销售教练，对总监进行每月一次的"教练式对话"培训：从追问细节转向提问意图，从解决问题转向激发思考。总监开始用"你觉得这件事最好的处理方式是什么"替代"你打算怎么做"。
- 结论: 教练技能帮助管理者从"给答案"转向"激发出答案"。
- 结果: 6个月后，团队人均单产提升35%，销售总监自己的时间利用率提升了50%（不再被下属的细节汇报占据）。
A2 — 触发场景 (Future Trigger) ★
用户会在什么情境下需要这个 skill?
- 管理者晋升后遇到瓶颈时：用户说"升职后发现不知道怎么当领导了"或"以前管自己，现在管团队，不知道怎么管"。
- A类人才留不住时：对高潜人才的培养投入不足，导致他们感觉没有成长而离开。
- 讨论要不要请教练/导师时：在犹豫是否值得花这笔钱，教练和培训有什么区别。
- 绩效对话质量低下时：用户的团队成员在绩效评估时总是"意外"得知问题，缺乏日常辅导机制。
- CEO或创始人自我成长停滞时：企业发展到一定阶段，创始人的认知成为公司天花板。
语言信号 (用户的话里出现这些就应激活)
- "领导力……"
- "要不要请教练……"
- "管理者培训……"
- "带团队……"
- "突破瓶颈……"
- "辅导……"
与相邻 skill 的区分
- 与
Hire Fewer, Higher Pay的区别：少人高薪解决的是"招什么人、付多少钱"的配置问题，这个解决的是"如何让A类人才持续成长"的保留和发展问题。 - 与
3:1 Positive Interaction Ratio的区别：3:1原则是日常互动的质量配比，教练是一对一深度对话的专业关系——前者是每个管理者的日常习惯，后者是针对A类人才的高杠杆投资。
E — 可执行步骤 (Execution)
当 skill 被激活后，agent 应按以下步骤执行:
-
识别最需要教练的A类人才
- 列出组织内前10-15%的关键人才（不只是管理层，也包括核心技术/业务骨干）
- 问：这些人下一步成长需要突破的瓶颈是什么？是战略思维、团队领导、跨部门协作，还是自我认知？
- 完成标准：锁定2-3个最有coach需求的高潜人才
-
选择合适的教练类型
- 内部教练（高管团队成员兼任）：适合有成熟高管团队的成长期公司，成本低但可能存在视角盲区
- 外部专业教练（Certified Coach）：适合高管层突破，适合需要绝对保密和安全空间的对话场景
- 导师（曾在类似岗位取得成功的前辈）：适合战略思维和行业经验传承，但导师关系容易变成闲聊而非深度教练
- 判停条件：若用户已有明确的教练人选偏好（如"我想找有过创业经验的"），直接进入步骤3
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 134 lines · 87 tokens per session scan A 2112fb6a6ae8
first-rate-talent-coach is a skill published in the GitHub repository ace3000chao/book2startup (80 stars, last pushed 4mo ago), licensed MIT. It adds 87 tokens to every session and 2,008 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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