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Agent Skill · 开发

politics-coach(政治教练)

politics-coach 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

politics-coach 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 18,087。

总安装 360周安装 15GitHub Stars 211下载 120核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:politics-coach(政治教练)
来源仓库:https://github.com/andreaskelm/pm-brain
仓库路径:skills/politics-coach
安装命令:
npx skills add https://github.com/andreaskelm/pm-brain --skill politics-coach
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/andreaskelm/pm-brain --skill politics-coach

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

politics-coach 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。

使用前建议核验具体用法,注意是否会触发联网、命令执行或文件读写操作。涉及敏感操作时,应评估最小权限范围和潜在风险边界。

来源仓库内路径:skills/politics-coach

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/andreaskelm/pm-brain --skill politics-coach;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

politics-coach 怎么安装?

在终端执行 npx skills add https://github.com/andreaskelm/pm-brain --skill politics-coach。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

politics-coach 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

politics-coach 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

politics-coach 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

politics-coach 用的人多吗?

公开数据是累计安装 360 次,近一周安装 15 次,下载 120 次,GitHub 211 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

politics-coach 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
politics-coach

政治教练 · 本页

360211只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Politics Coach Skill

Use this skill when the user is focused on organization politics, power dynamics, or "what would X say?" rather than only the content of the product work. It aligns with the other skills: it tells you when to load which frameworks and how to simulate from stakeholder avatars. Setup (the quiz that creates avatars) lives in the framework; this skill only navigates to it and uses the resulting data.


When to use this skill

Trigger this skill when the user:

  • Mentions politics, landmines, power games, or career risk, e.g.:

- "The politics on this are tricky." - "I don't want to step on toes." - "This VP could kill the project." - "My manager is risk-averse about this."

  • Asks for stakeholder POVs in absentia:

- "What would my manager say about this plan?" - "How will Eng + Design react to this roadmap change?" - "Can you sanity-check this through my stakeholders' eyes?"

  • Wants help sequencing conversations or building a coalition:

- "Who should I talk to first?" - "How do I avoid surprising people?"

If they're mainly focused on documents and tactics (one-pagers, escalations, saying no), prefer stakeholder-management and combine with this skill when politics are a big part of the problem.


Relevant framework and data locations

PurposePath
Set up or update avatars (guided quiz, methodology)02-Methods-and-Tools/2.4-Communication/2.4.8-Stakeholder-Avatars/ — load README + 1-stakeholder-avatars-framework.md and walk the user through; write each avatar to a new file in 01-Company-Context/1.1-Stakeholder-Avatars/ using the naming convention in that folder's README
Avatar data (who to simulate)01-Company-Context/1.1-Stakeholder-Avatars/ — one file per person (e.g. 1-jane-manager.md); list folder and load the relevant N-name-role.md by name/role
Stakeholder communication tactics (one-pagers, saying no, escalation)02-Methods-and-Tools/2.4-Communication/ — use with stakeholder-management skill

Typical flows

1. "Set up my stakeholder brainfeed" / "Create stakeholder avatars"

2. "What would [Name] say about this?" (single-stakeholder simulation)

  1. List 01-Company-Context/1.1-Stakeholder-Avatars/ and load the file matching the name/role (e.g. 1-jane-manager.md).
  2. Summarize their lens in 1–2 lines (goals, fears, style).
  3. Respond in three parts:

- Out-loud reaction — what they'd likely say in the meeting. - Inner monologue — what they'd be thinking but not say. - Top 2–3 concerns / objections — concrete, not generic.

  1. Close with how to de-risk for that person: evidence that would help, framing or sequencing that would land better.

If no avatars exist, offer to run the setup framework (2.4.8) first, or do a lightweight inline simulation if the user has given enough context and doesn't want to set up avatars yet.

3. "How will [Manager], [Eng], [Design] react?" (panel simulation)

  1. Load each relevant avatar file from 01-Company-Context/1.1-Stakeholder-Avatars/.
  2. For each: name/role, likely stance (supportive / cautious / opposed / conflicted), key concern.
  3. Synthesis: where they align, where they disagree, suggested conversation sequence (who to talk to first, who to warm up, who to keep in the loop).

4. Politics pass in product_sense or execution_mode

  • After braindump is sufficient (product_sense): optionally offer "Do you want to run a quick politics check on this through your manager / key stakeholders' eyes?"
  • When drafting communication (execution_mode): use this skill with stakeholder-management to check the draft against relevant avatars and suggest tone, ordering, and conversation sequence.

Guardrails

  • Treat avatars as caricatures, not truth; add a short caveat when stakes are high.
  • Encourage the user to validate in real conversations; suggest 1–2 concrete questions they could ask to test assumptions.
  • Surface biases (e.g. all avatars described as hostile, or underestimating a powerful stakeholder).

For Agents

  • When you see politics-heavy language or "what would X say?":

- Wake this skill and 01-Company-Context/1.1-Stakeholder-Avatars/ (list folder and load the relevant N-name-role.md by name/role) if the folder exists. - If avatars don't exist and the user wants simulation, offer to run 2.4.8-Stakeholder-Avatars to create them.

  • When simulating: use the three-part structure (out-loud, inner monologue, concerns + de-risking). Make it clear when you're speaking as a stakeholder vs as the agent.
  • Nudge occasionally to update avatars after real conversations.

Organization survival docs

- Use 1-power-map.md for who really decides and who can veto. - Use 2-political-landscape.md for alliances, fault lines, and protected systems. - Use 3-stakeholder-games.md for recurring behaviour patterns and how to work with them. - Use 4-coalitions-and-timing.md to think through timing and sequencing before big moves. - Use 5-red-flags-and-history.md to log Red Weddings, slow kills, and recurring political failure modes.

  • After a politics pass or a real incident, suggest updating the relevant organization survival files, especially 1-power-map.md and 5-red-flags-and-history.md, so future runs can spot patterns earlier.

Ready-to-use prompts (for the user)

  • "Help me set up my stakeholder brainfeed cast."
  • "Create or update stakeholder avatars for my manager, Eng lead, and Design lead."
  • "Run a politics check on this plan through my manager's eyes."
  • "How would [Name] react to this roadmap / PRD / decision memo?"
  • "Simulate a panel of [Manager], [Eng lead], and [Design] reacting to this change."
  • "Given these avatars, what's a smart sequence of conversations to avoid surprises?"

平台分布

Codex

34.45%
按下载量换算41

Claude

27.78%
按下载量换算33

Cursor

17.6%
按下载量换算21

Gemini CLI

10.3%
按下载量换算12

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

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