career-ops (santifer/career-ops) is an open-source AI project on GitHub. Repository summary: AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing. Its focus includes developer-centric engineering workflows, workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
48,433
Homepage
https://career-ops.org/Features
- Core capability: AI-powered job search system built on Claude Code. 14 skill modes, Go dashboard, PDF generation, batch processing.
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Repository: santifer/career-ops
- Primary language: JavaScript
- Open-source license: MIT
Use Cases
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with career-ops
- Validate career-ops in production-like engineering scenarios
- Building AI development workflows
- Automating agent-based processes
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/santifer/career-ops. Community traction is around 48,428 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency, Build internal AI workflow prototypes with career-ops.
