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job-hunt-copilot

von 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.

▶ Demo ansehen 📦 Installieren 💡 Anwendungsfälle

Warum nutzen

Hauptfunktionen

Live-Demo

In der Praxis

job-hunt-copilot-skill.replay ▶ bereit
0/0

Installation

Repository des Autors · Offizielle Dokumentation zu Claude Skills

Anwendungsfälle

Praxisnahe Nutzung: job-hunt-copilot

Tailor your resume to a specific JD without starting over

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

Wann einsetzen: You found a role, you have a base resume, you don't want to rewrite from scratch.

Ablauf
  1. Paste the JD
    Use job-hunt-copilot. Here's the JD: [...]. Tailor my resume to it using my project library.✓ Kopiert
    → 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.✓ Kopiert
    → Flags for review, not a clean 'all good'
  3. Export
    Save as resume-acme-senior-pm.md and also convert to PDF.✓ Kopiert
    → File saved with clean filename

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

Fallstricke
  • Hallucinated accomplishments — Always use the honesty-check step; your project library is the source of truth
Kombinieren mit: filesystem

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

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

Wann einsetzen: You have a screen in 24 hours.

Ablauf
  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.✓ Kopiert
    → Script with natural flow, not a resume readout
  2. Practice variants
    Now give me a 45-second version and a 5-minute version.✓ Kopiert
    → Three lengths, same core

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

Fallstricke
  • 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

Wann einsetzen: You want to rehearse the likely questions.

Ablauf
  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.✓ Kopiert
    → One question, waits for answer, then probes
  2. Get feedback
    After we finish, critique my answers — structure, specificity, signal.✓ Kopiert
    → Per-answer feedback with improvement hooks

Ergebnis: A rehearsed set of stories for the interview.

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

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

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.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

WerkzeugEingabenWann aufrufenKosten
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

Kosten & Limits

Was der Betrieb kostet

API-Kontingent
None
Tokens pro Aufruf
Modest per role; the library doc is the biggest token cost
Kosten in €
Free
Tipp
Keep projects.md well-organized — smaller, dense entries beat long narratives.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: None
Datenabfluss: Project library and JDs sent to Claude API

Fehlerbehebung

Häufige Fehler und Lösungen

Tailored resume invents claims

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

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

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

Alternativen

job-hunt-copilot vs. andere

AlternativeWann stattdessenKompromiss
ChatGPT + manual tailoringOne-off applicationsNo persistent library; you repeat yourself
Teal / JobScanKeyword matching onlyNo narrative tailoring

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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