Ringkasan
Local AI-assisted workflows for job search, resume tailoring and application tracking. The repository is maintained under career-ops-hq on GitHub. Its primary language is JavaScript. See the [project README](https://github.com/career-ops-hq/career-ops#readme) for the supported workflows.
Fitur utama
- Local AI-assisted workflows for job search, resume tailoring and application tracking.
Persyaratan, instalasi, dan mulai cepat
Use the installation or download entry linked from the upstream README. Configure the local environment and any external services needed for your intended workflow.
[Read the upstream installation and quickstart instructions](https://github.com/career-ops-hq/career-ops#readme).
[Read the upstream installation and quickstart instructions](https://github.com/career-ops-hq/career-ops#readme).
Penggunaan
Start with a small example matching your workflow, review its results, and configure the available settings for your own data and environment.
[Usage examples and configuration reference](https://github.com/career-ops-hq/career-ops#readme).
[Usage examples and configuration reference](https://github.com/career-ops-hq/career-ops#readme).
Kompatibilitas model dan kasus penggunaan
Kompatibilitas model tidak tercantum dalam metadata repositori.
Catatan lisensi dan risiko
GitHub reports MIT for this repository. Review the upstream license file; model weights, datasets and dependencies may have separate terms.
Source review 2026-09-05: GitHub search metadata and repository README. No runtime benchmark performed. License metadata: MIT.
Rilis dan pemeliharaan
[View upstream releases](https://github.com/career-ops-hq/career-ops/releases).