Job Apply Assistant sɣur Shakha
Analyzes job postings with AI and drafts professional cover letters in Typst format using Gemini or local Ollama.
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Job Apply Assistant helps users create tailored application letters faster.
It extracts visible text from the currently open job posting tab, identifies key details (position, company, requirements, tasks, location), and generates a professional cover letter draft in Typst format.
Main features:
AI-powered job analysis from the active page
Cover letter generation in editable Typst code
Two AI modes: Google Gemini (cloud) or Ollama (local)
Candidate profile editor (JSON) for personalized output
Application tracker with status updates and CSV export
Privacy and data handling:
The extension processes only the active tab content when the user explicitly clicks Analyze.
In Gemini mode, prompt data is sent to Google Gemini API.
In Ollama mode, data is sent to local Ollama (localhost) directly or via local Go proxy (localhost:8080).
No remote code execution, no ads, no tracking SDKs.
It extracts visible text from the currently open job posting tab, identifies key details (position, company, requirements, tasks, location), and generates a professional cover letter draft in Typst format.
Main features:
AI-powered job analysis from the active page
Cover letter generation in editable Typst code
Two AI modes: Google Gemini (cloud) or Ollama (local)
Candidate profile editor (JSON) for personalized output
Application tracker with status updates and CSV export
Privacy and data handling:
The extension processes only the active tab content when the user explicitly clicks Analyze.
In Gemini mode, prompt data is sent to Google Gemini API.
In Ollama mode, data is sent to local Ollama (localhost) directly or via local Go proxy (localhost:8080).
No remote code execution, no ads, no tracking SDKs.
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Yesra tisirag:
- Kcem ɣer isefka-inek deg ismal web meṛṛa
Tisirag tifrayanin:
- Kcem ɣer isefka-ik i generativelanguage.googleapis.com
- Kcem ɣer isefka-ik i localhost:11434
- Kcem ɣer isefka-ik i localhost:8080
Required data collection, according to the developer:
- Talɣut n usulu tudmawant
- Agbur n usmel web
Ugar n telɣut
- TigIseɣwan n uzegrir
- Lqem
- 1.0.0
- Teɣzi
- 23,86 KB
- Aleqqem aneggaru
- 2 muaj më parë (15 Mar 2026)
- Taggayin i ilan assaɣ
- Turagt
- Turagt IT
- Tasertit n tbaḍnit
- Ɣeṛ tasertit n tbaḍnit i uzegrir-agi
- Amazray n Lqem
- Rnu ar tegrumma