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SkillsMay 14, 2026·2 min de lecture

Career-Ops — Claude Code Job Search Skill System

Career-Ops is a Claude Code skill system for job search: 14 modes, batch eval via `claude -p`, and a Go dashboard with PDF output (44.5k★).

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Prêt pour agents

Cet actif peut être lu et installé directement par les agents

TokRepo expose une commande CLI universelle, un contrat d'installation, le metadata JSON, un plan selon l'adaptateur et le contenu raw pour aider les agents à juger l'adaptation, le risque et les prochaines actions.

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Surface agent
Tout agent MCP/CLI
Type
Skill
Installation
Single
Confiance
Confiance : Established
Point d'entrée
Asset
Commande CLI universelle
npx tokrepo install 06a29ae9-8273-5377-a4e5-96e0437dea10
contrat d'installationJSON metadataplan adaptateurcontenu raw
Introduction

Career-Ops is a Claude Code skill system for job search: 14 modes, batch eval via claude -p, and a Go dashboard with PDF output (44.5k★).

Best for: Candidates who want a repeatable “job → eval → tailor → apply” loop instead of ad-hoc copy/paste across job sites

Works with: Claude Code (slash commands), Node.js tooling, and Playwright (for PDF generation); also supports Gemini CLI integration

Setup time: 10-25 minutes

Main

  • Mode-driven workflow: the README documents 14 modes (skills) so you can run consistent steps for evaluation and tailoring.
  • Batch processing: supports parallel evaluation with claude -p workers—useful when screening many job posts.
  • PDF output: integrates Playwright to generate PDFs, which makes it easier to share or archive tailored materials.
  • Dashboard + structure: includes a Go dashboard/TUI so you can inspect runs and keep the system organized over time.

FAQ

  • Do I need Playwright?: Only if you want PDF generation; you can still run the core evaluation loop without it.
  • Can I use Gemini CLI?: Yes. The README includes a Gemini CLI integration section (native CLI or API script).
  • What is the safest first run?: Install deps, open Claude Code, then test on one job URL before batch processing.
🙏

Source et remerciements

Source: https://github.com/santifer/career-ops > License: MIT > GitHub stars: 44500 · forks: 9342

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