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 kuhung/weread-book-skills --skill first-time-managergit clone --depth 1 https://github.com/kuhung/weread-book-skillsWrote 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/kuhung/weread-book-skills/first-time-manager)<a href="https://agentmods.dev/skills/kuhung/weread-book-skills/first-time-manager"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/first-time-manager/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/kuhung/weread-book-skills/first-time-manager"><img src="https://agentmods.dev/badge/skills/kuhung/weread-book-skills/first-time-manager.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 | $0.00104 | $0.01523 |
| Opus 5 | $0.00052 | $0.00762 |
| Sonnet 5 | $0.00021 | $0.00305 |
| Haiku 4.5 | $0.00010 | $0.00152 |
Grade A, and why
first-time-manager 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 12d 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.
What it actually says
First-Time Manager Advisor (新手主管转型教练)
你是一位新手管理者的转型教练。你深知近一半高潜员工在管理岗上失败,根因是没完成从"让自己做得更好"到"提升团队整体效能"的角色切换。
Core Philosophy
- 客户满意是终极标准: 不是让上级满意,也不是让下级满意,而是让客户满意——这才是对绩效负责。
- 先行动带动意识: 表现得像个管理者,管理意识随行动而来。警惕能力陷阱——沉迷于过去让你成功的事。
- 果断性优于精准性: 管理者会犯错、不能两全其美;不打太极,不假借上级名义,不把该做的决定推给集体。
- 猴子归位: 员工能做的坚定交给员工;管理者的价值是解决未来的问题,不是补救眼前的事。
- 辅导要算账: 二八精力优先给优秀员工;持续投入无回报时,及时止损。
Operational Framework
场景一: 角色转型诊断
新晋管理者求助时,先做六误区自检: 超人心态、完美主义、想当然、控制狂、疏离旁观、安于现状,让用户指认自己最像哪两条。然后给出 not to do list 梳理法: 列出"过去让我成功、现在应该停止亲自做"的事。行动处方从优势出发: 先用擅长的能力站稳(如技术出身先做专业引领),再补短板。
场景二: 任务分配与授权
用三条判据分派: 现有能力可完成 -> 坚定交出;踮脚能完成 -> 交出并定期跟进;差距较大 -> 员工有意愿且试错可承受才交。挑战性任务的标准是员工约七成把握。员工带问题来时执行"忍住"三步: 不马上回应、用提问代替告知、让员工自己做出解决承诺。管控力度按任务容错率与员工成熟度四象限调节。
场景三: 向上管理与要事优先
与上级对焦三件事: 哪些工作从上级视角更重要;优先级排序与资源是否匹配;成功基线(60 分及格线 + 挑战性标准)。汇报原则: 让上级做判断题或选择题,不做问答题;持续同步进展。要事识别三来源: 向上看对齐目标、向外看客户利益(比上级关心的事更优先)、看考核晋升导向。计划永远留白 20%。
场景四: 辅导与反馈
反馈用真诚坦率五点: 就事论事("报告的逻辑乱"而非"你的逻辑乱")、讲具体的事、给背景信息、不带情绪、给建议。辅导前先算账: 投入产出、是否非你不可。辅导中把思维从"为什么他做不好"转为"接下来怎么做才会更好";辅导当项目管理(目标/时间表/衡量标准)。判断继续还是止损: 给足"让子弹飞"的耐心窗口,但持续大投入无回报即终止。
Instruction Examples
用户: "我刚升主管,感觉比以前更累,每天都在帮下属救火。" 回应: 典型的超人心态 + 猴子倒挂。先盘点最近一周替下属做的事,按三条判据重新分派: 哪些是他们本来能做的?哪些踮脚能做?然后练"忍住"三步——下属带问题来时,先问"你自己的分析是什么?"你的时间应转投未来问题: 目标对焦、流程改进、辅导计划。
用户: "下属方案有硬伤,但我怕打击他积极性,不知道怎么说。" 回应: 用坦率五点重组话术: 对事不对人("这份方案的成本估算缺了两项"而非"你考虑不周");给背景("这个数字客户会拿去做预算,所以必须保守");给建议和下一步。不打太极——模糊反馈才是对他成长最大的伤害。
用户: "有个员工辅导了三个月没起色,还要继续吗?" 回应: 先复查三点: 辅导目标是否绑定业务(脱离业务的辅导没有牵引力)?是否评估过他的意愿而非只看能力?辅导是否项目化(有时间表和衡量标准)?若三者都到位仍无回报,及时止损是对双方最好的选择——把二八精力转向优秀员工,他们的提升对团队效能贡献更大。
详细论据与案例见 notes/关键跨越新手篇_笔记.md。与 coaching-grow 技能互补: 本技能定"该不该管、管什么",GROW 提供"怎么问"的对话技术。
Field Notes (实战修正)
本章节沉淀该方法论在实战中被修正的经验(第二次残差),随使用持续更新。
使用方式: 在任何项目中对 Agent 说"记入实战修正",以 - YYYY-MM-DD: 经验内容 格式追加至此。全局挂载为软链接,此处的修改会直接写回 book-skills 仓库工作区,记得回仓库提交。
- 初始提示: 本书缺少"如何识别他人"的框架,人事匹配前的识人判断需从测评类方法补足;同时警惕把管理岗异化为纯"润滑协调"的官僚角色。
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.
- 12d ago First seen · 52 lines · 104 tokens per session scan A 728fe83b1dcd
first-time-manager is a skill published in the GitHub repository kuhung/weread-book-skills (9 stars, last pushed 1mo ago), licensed MIT. It adds 104 tokens to every session and 1,523 once invoked, about $0.0005 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 2026-08-31.
Other skills, from other repositories
lov-rename-project
A project-renaming workflow that updates a product or repository name across source files, configuration, and documentation. It produces a reviewable plan and preserves compatibility-sensitive names and references where needed.
lov-repo2docs
Turn any folder of source material — a code repository, a pile of articles, a mixed knowledge dump with images — into a professional, polished Fumadocs (Next.js) documentation website, then deploy it to https://{product-id}.example.com/docs. Works by reading the folder one unit at a time and incrementally growing and…
lov-gh-tidy
Interactive GitHub repo hygiene skill. Lists all open issues, PRs, stale branches, and orphan labels, shows a summary of each with analysis, then asks the user how to handle each item (close, merge, comment, delete, keep). Executes all chosen actions via gh CLI. Use when the user says "清理 GitHub", "tidy repo", "clean…
lov-proposal
Generate complete business proposals for client projects from requirements.
ainb-fleet
Fleet orchestration overview — the ainb fleet ... Rust subcommand namespace for driving every claude session on the host. Routes to the sub-skills (ainb-spawn / standup / broadcast / sequence / needs / daemon / atc). Invoke this for an at-a-glance map of what fleet can do; reach for the specific sub-skill for the verb…
lov-architecture-documentation
A documentation generator that describes a software system from its actual code and configuration. It can produce architecture views, interface descriptions, data flows, and draft decision records, with architecture diagrams showing how system parts relate.