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setup-devadvokit设置 devavvokit

Agent Skill

setup-devadvokit 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。

总安装

1

周安装

8

GitHub Stars

4

下载量

65
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:setup-devadvokit(设置 devavvokit)
来源仓库:https://github.com/phazonoverload/devadvokit
仓库路径:skills/setup-devadvokit
安装命令:
npx skills add https://github.com/phazonoverload/devadvokit --skill setup-devadvokit
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/phazonoverload/devadvokit --skill setup-devadvokit

简介

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、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从 phazonoverload/devadvokit 仓库安装。
  • 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。
  • setup-devadvokit 属于待分类类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Run an interactive setup to capture your DevRel context and content library. The output is written to ~/.devadvokit.md and read automatically by every other DevAdvokit skill.

If ~/.devadvokit.md already exists, do not overwrite it without asking first. Offer to update individual sections or append to the content library instead.


Part 1: Identity and context

Ask the following questions one at a time. Wait for the user's answer before asking the next question. Do not batch questions.

  1. What's your name?
  2. What's your current job title and company?
  3. In one sentence, what does your company do — in plain language, not marketing copy?
  4. What are your specialist areas in this role? (e.g. the technical domains you focus on, the audiences you work with, the type of work you spend most time on)
  5. How many years have you been working in Developer Relations?
  6. List your previous roles briefly, most recent first. For each: job title, company, and the specialist areas you focused on in that role.
  7. What are your broader specialist areas across your whole career? (Themes that run across roles, not just your current one)
  8. Who do you primarily write and speak for? Describe them: job title, seniority, what context they're in when they encounter your content.
  9. What platforms do you publish to? (e.g. company blog, personal blog, LinkedIn, X, YouTube, newsletter)
  10. What are your main content pillars or recurring talk topics?
  11. What's your writing voice like? (e.g. direct and technical, conversational, educational, opinionated)
  12. Are there any words, phrases, or styles you want to avoid in your content?
  13. Where are you based? (City, country, or region — whatever level of detail you're comfortable with)
  14. What do you do outside of work? (Hobbies, interests, side projects — anything you'd be happy to see appear in a bio)

If any answer is vague or very short, consult reference/devadvokit-md-schema.md for guidance on what a strong answer looks like and ask a follow-up question before moving on.


Part 2: Content library

Once Part 1 is complete, tell the user:

"Now let's build a library of your existing content. This helps the CFP skill avoid repeating angles you've already covered, and lets it reference your past work when relevant. Add as many or as few items as you like — press enter on a blank line when you're done."

For each item, ask:

  1. Title or topic
  2. Type (talk, blog post, video, podcast, newsletter, other)
  3. Where it was published or delivered (event name, publication, URL if known)
  4. Year
  5. One-sentence summary of the main argument or takeaway

Repeat until the user enters a blank title. Confirm the total count of items added before writing.


Output

Write the following to ~/.devadvokit.md:

# DevAdvokit Context

## Identity
- **Name**:
- **Current role**:
- **Current company**:
- **Company one-liner**:
- **Years in DevRel**:
- **Location**:

## Background
- **Current role specialisms**:
- **Previous roles**: (title, company, specialisms — most recent first)
- **Career-wide specialisms**:

## Audience
- **Primary audience**:

## Content
- **Platforms**:
- **Content pillars**:
- **Writing voice**:
- **Avoid**:

## Personal
- **Hobbies and interests**:

## Content Library

| Title | Type | Where | Year | Summary |
|---|---|---|---|---|
| ... | ... | ... | ... | ... |

Fill in all fields with the user's answers. If the content library is empty, include the table header with a note: "No content added yet."

Confirm to the user once the file has been written and where it lives (~/.devadvokit.md).


Before presenting any output to the user, read ../../shared/ai-antipatterns.md and silently rewrite any flagged patterns. Do not mention this step to the user.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.29%
按下载量换算25

Claude

31.17%
按下载量换算20

Cursor

17.25%
按下载量换算11

Gemini CLI

9.05%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

未通过

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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