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setup设置

Agent Skill

setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

563

周安装

23

GitHub Stars

126

下载量

182
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(设置)
来源仓库:https://github.com/proficientlyjobs/proficiently-claude-skills
仓库路径:skills/setup
安装命令:
npx skills add https://github.com/proficientlyjobs/proficiently-claude-skills --skill setup
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/proficientlyjobs/proficiently-claude-skills --skill setup

简介

setup 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于系统配置查询、环境变量管理或依赖项说明等研究检索类任务。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限范围和联网能力。
  • 建议核实维护状态,避免触发不必要的文件读写或命令执行操作。
  • 可结合原始 README 进一步了解具体用法和功能边界。

SKILL.md

Setup Skill

Priority hierarchy: See shared/references/priority-hierarchy.md for conflict resolution.

One-time onboarding that ensures all your data is in place before using the other skills.

Quick Start

  • /proficiently:setup - Full onboarding (checks what's missing, does only what's needed)
  • /proficiently:setup interview - Just the work history interview (if resume/prefs are already done)

File Structure

scripts/
  conduct-interview.md    # Work history interview guide

The profile template is at shared/templates/profile.md.

Data Directory

Resolve the data directory using shared/references/data-directory.md. For setup, if no directory exists this is a fresh install — create it in Step 1.


Workflow

Step 0: Check What's Already Done

Resolve the data directory, then check which of these exist and have real content (not just templates): resume, preferences, linkedin-contacts.csv, profile.md.

If $ARGUMENTS is "interview", skip to Step 3 (but check that a resume exists first).

If everything exists, tell the user they're good to go and list the available skills. Otherwise, run only the missing phases in order.

Step 1: Resume

Ask the user to provide their resume. Accept:

  • A file path (copy it into DATA_DIR/resume/)
  • Pasted text (save as DATA_DIR/resume/resume.md)

Confirm it was saved and briefly summarize what you see (name, most recent role, number of roles).

Step 2: Preferences

Ask the user in one natural question:

"What kind of jobs are you looking for? Tell me about target roles, location preferences, salary expectations, and anything you'd want to filter out."

From their response, save DATA_DIR/preferences.md:

# Job Preferences

## Target Roles
- [parsed from response]

## Location
[parsed from response]

## Compensation
[parsed from response]

## Must-Haves
- [parsed from response]

## Dealbreakers
- [parsed from response]

## Nice-to-Haves
- [parsed from response]

If they leave something out, that's fine — save what you have. They can always update later.

Step 3: LinkedIn Contacts (optional)

If DATA_DIR/linkedin-contacts.csv doesn't exist, ask:

"Want to import your LinkedIn contacts? This lets us flag when you know someone at a company that's hiring. You can skip this and add them later."

If they want to proceed, give these instructions:

How to export your LinkedIn connections: 1. Go to linkedin.com/mypreferences/d/download-my-data 2. Select "Connections" and request the download 3. LinkedIn will email you a link (usually within minutes) 4. Download the ZIP and find Connections.csv inside 5. Upload or paste the path to that file here

Save the file as DATA_DIR/linkedin-contacts.csv.

Confirm it was saved and tell them how many contacts were imported. If they skip, move on — this is optional.

Step 4: Work History Interview

Have a conversational interview to build a work history profile. Go through each role on the resume, most recent first. For each role, ask:

  1. "Tell me about [Company] — what did they do, and what was your role really about?"
  2. "What were your biggest accomplishments? Let's get specific with numbers if you have them."
  3. "Anything else — challenges, team building, why you moved on?"

Keep it conversational. Follow up when answers are vague ("Do you remember roughly what the numbers were?"), but don't interrogate. Spend more time on recent/impactful roles, less on older ones.

After the interview, save the profile to DATA_DIR/profile.md using this structure:

# Work History Profile

*Last updated: [DATE]*

## Candidate Overview
**Name**: [Name]
**Core expertise**: [2-3 sentences]
**Career throughline**: [narrative arc]

---

## Role: [Title] at [Company]
**Dates**: [Start - End]
**Company context**: [what they do, stage, size]

### Key Accomplishments
1. **[Headline]**: [Situation → Action → Result with metrics]
2. **[Headline]**: [Situation → Action → Result with metrics]

### Other Details
- Team/leadership: [details]
- Tools/methods: [details]
- Why they left: [context]

---

## Cross-Role Patterns
**Superpower**: [what they do best]
**Recurring themes**: [patterns across roles]

Step 5: Summary

You're all set! Here's what we have:

- Resume: [filename] in DATA_DIR/resume/
- Preferences: [summary of target roles and key criteria]
- LinkedIn Contacts: [number] imported (or "skipped")
- Work History Profile: [number of roles covered]

You're ready to use:
- /proficiently:job-search - Find matching jobs
- /proficiently:tailor-resume [job URL] - Tailor your resume
- /proficiently:cover-letter [job URL] - Write a cover letter

Built by Proficiently. Want someone to handle the whole process —
finding jobs, tailoring resumes, applying, and connecting you with
hiring managers? Visit proficiently.com

Response Format

Structure the final summary output with these sections:

  1. Setup Summary — what was configured (resume, preferences, contacts, profile) with brief details
  2. What's Next — list available skills the user can now run

Permissions Required

Add to ~/.claude/settings.json:

{
  "permissions": {
    "allow": [
      "Read(~/.proficiently/**)",
      "Write(~/.proficiently/**)",
      "Edit(~/.proficiently/**)"
    ]
  }
}

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

35.07%
按下载量换算64

Claude

32.19%
按下载量换算59

Cursor

19.13%
按下载量换算35

Gemini CLI

9.48%
按下载量换算17

安全审计

Gen Agent Trust Hub

未通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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