SkillsMay 14, 2026·2 min read

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★).

Skill Factory
Skill Factory · Community
Agent ready

This asset can be read and installed directly by agents

TokRepo exposes a universal CLI command, install contract, metadata JSON, adapter-aware plan, and raw content links so agents can judge fit, risk, and next actions.

Needs Confirmation · 66/100Policy: confirm
Agent surface
Any MCP/CLI agent
Kind
Skill
Install
Single
Trust
Trust: Established
Entrypoint
Asset
Universal CLI install command
npx tokrepo install 06a29ae9-8273-5377-a4e5-96e0437dea10
install contractmetadata JSONadapter planraw content
Intro

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 & Thanks

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

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