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● コミュニティ spontaneousai ⚡ 即起動

job-hunt-copilot

作者 spontaneousai · spontaneousai/job-hunt-copilot

Build a personal project library once; auto-generate tailored resumes, interview pitches, and mock interviews for every role you apply to.

A job-hunt skill that separates 'what you've done' from 'what you'll tell this company about it.' You feed in a durable project library. For each role, it generates a tailored resume, a pitch script, and mock interview prompts grounded in the JD and your actual experience.

なぜ使うのか

主な機能

ライブデモ

実際の動作

job-hunt-copilot-skill.replay ▶ 準備完了
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インストール

クライアントを選択

~/Library/Application Support/Claude/claude_desktop_config.json  · Windows: %APPDATA%\Claude\claude_desktop_config.json
{
  "mcpServers": {
    "job-hunt-copilot-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/spontaneousai/job-hunt-copilot",
        "~/.claude/skills/job-hunt-copilot"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop → Settings → Developer → Edit Config を開く。保存後、アプリを再起動。

~/.cursor/mcp.json · .cursor/mcp.json
{
  "mcpServers": {
    "job-hunt-copilot-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/spontaneousai/job-hunt-copilot",
        "~/.claude/skills/job-hunt-copilot"
      ],
      "_inferred": true
    }
  }
}

Cursor は Claude Desktop と同じ mcpServers スキーマを使用。プロジェクト設定はグローバルより優先。

VS Code → Cline → MCP Servers → Edit
{
  "mcpServers": {
    "job-hunt-copilot-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/spontaneousai/job-hunt-copilot",
        "~/.claude/skills/job-hunt-copilot"
      ],
      "_inferred": true
    }
  }
}

Cline サイドバーの MCP Servers アイコンをクリックし、"Edit Configuration" を選択。

~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "job-hunt-copilot-skill": {
      "command": "git",
      "args": [
        "clone",
        "https://github.com/spontaneousai/job-hunt-copilot",
        "~/.claude/skills/job-hunt-copilot"
      ],
      "_inferred": true
    }
  }
}

Claude Desktop と同じ形式。Windsurf を再起動して反映。

~/.continue/config.json
{
  "mcpServers": [
    {
      "name": "job-hunt-copilot-skill",
      "command": "git",
      "args": [
        "clone",
        "https://github.com/spontaneousai/job-hunt-copilot",
        "~/.claude/skills/job-hunt-copilot"
      ]
    }
  ]
}

Continue はマップではなくサーバーオブジェクトの配列を使用。

~/.config/zed/settings.json
{
  "context_servers": {
    "job-hunt-copilot-skill": {
      "command": {
        "path": "git",
        "args": [
          "clone",
          "https://github.com/spontaneousai/job-hunt-copilot",
          "~/.claude/skills/job-hunt-copilot"
        ]
      }
    }
  }
}

context_servers に追加。保存時に Zed がホットリロード。

claude mcp add job-hunt-copilot-skill -- git clone https://github.com/spontaneousai/job-hunt-copilot ~/.claude/skills/job-hunt-copilot

ワンライナー。claude mcp list で確認、claude mcp remove で削除。

ユースケース

実用的な使い方: job-hunt-copilot

Tailor your resume to a specific JD without starting over

👤 Job seekers who send 5+ applications a week ⏱ ~15 min beginner

使うタイミング: You found a role, you have a base resume, you don't want to rewrite from scratch.

前提条件
  • Project library set up — Follow SKILL.md to populate projects.md with detailed project notes once
  • Skill installed — git clone https://github.com/spontaneousai/job-hunt-copilot ~/.claude/skills/job-hunt-copilot
フロー
  1. Paste the JD
    Use job-hunt-copilot. Here's the JD: [...]. Tailor my resume to it using my project library.✓ コピーしました
    → Resume with bullets reshuffled and reworded to match JD keywords — without inventing experience
  2. Verify honesty
    Show me any bullet where the framing is a stretch from my actual project notes.✓ コピーしました
    → Flags for review, not a clean 'all good'
  3. Export
    Save as resume-acme-senior-pm.md and also convert to PDF.✓ コピーしました
    → File saved with clean filename

結果: A tailored resume per role in ~10 minutes, same facts, different emphasis.

注意点
  • Hallucinated accomplishments — Always use the honesty-check step; your project library is the source of truth
組み合わせ: filesystem

Generate a 2-minute 'tell me about yourself' pitch for a role

👤 Interviewees preparing for first-round screens ⏱ ~20 min beginner

使うタイミング: You have a screen in 24 hours.

フロー
  1. Align pitch to JD
    Use job-hunt-copilot. Write my 2-min pitch for this role [JD]. Emphasize the projects that map to their top 3 requirements.✓ コピーしました
    → Script with natural flow, not a resume readout
  2. Practice variants
    Now give me a 45-second version and a 5-minute version.✓ コピーしました
    → Three lengths, same core

結果: A pitch that sounds like you, tuned to the role.

注意点
  • Sounding robotic — Read aloud; trim anything that feels LinkedIn-flavored

Run a mock interview for a specific role

👤 Candidates with a real interview soon ⏱ ~45 min intermediate

使うタイミング: You want to rehearse the likely questions.

フロー
  1. Set up the role context
    Use job-hunt-copilot. Act as a hiring manager for this role [JD] doing a behavioral interview. Ask me questions one at a time.✓ コピーしました
    → One question, waits for answer, then probes
  2. Get feedback
    After we finish, critique my answers — structure, specificity, signal.✓ コピーしました
    → Per-answer feedback with improvement hooks

結果: A rehearsed set of stories for the interview.

注意点
  • Mock becomes chummy and doesn't probe — Tell Claude to be skeptical and ask follow-up 'why' questions

組み合わせ

他のMCPと組み合わせて10倍の力を

job-hunt-copilot-skill + filesystem

Keep a structured folder per role: JD, resume version, pitch, notes

For every new role, create jobs/<company>/<role>/ with JD, resume, pitch, and interview notes.✓ コピーしました

ツール

このMCPが提供する機能

ツール入力呼び出すタイミングコスト
tailor_resume JD, base resume, project library Per role application 0
pitch_script JD, focus projects Before a screen 0
mock_interview role type, rounds Rehearsal 0
honesty_check resume draft After tailoring, before sending 0

コストと制限

運用コスト

APIクォータ
None
呼び出しあたりのトークン
Modest per role; the library doc is the biggest token cost
金額
Free
ヒント
Keep projects.md well-organized — smaller, dense entries beat long narratives.

セキュリティ

権限、シークレット、影響範囲

認証情報の保管: None
データ送信先: Project library and JDs sent to Claude API

トラブルシューティング

よくあるエラーと対処法

Tailored resume invents claims

Your project library may be too sparse; expand it so tailoring has real material to pull from

確認: Open projects.md and check each entry has metrics and details
Pitch sounds LinkedIn-y

Prompt for 'natural spoken words, not buzzwords'; read aloud

代替案

job-hunt-copilot 他との比較

代替案代わりに使う場面トレードオフ
ChatGPT + manual tailoringOne-off applicationsNo persistent library; you repeat yourself
Teal / JobScanKeyword matching onlyNo narrative tailoring

その他

リソース

📖 GitHub の公式 README を読む

🐙 オープンな issue を見る

🔍 400以上のMCPサーバーとSkillsを見る