tAIlor 作者: axndy.g
AI-assisted LaTeX resume tailoring sidebar
實驗中實驗中
擴充套件後設資料
關於此擴充套件
Tailor your LaTeX resume to any job posting from a Firefox sidebar. Reads the job description off the current tab, rewrites your .tex toward the role — preserving your formatting — and returns a single Overleaf-ready file. Bring your own API.
tAIlor is a sidebar extension that rewrites your LaTeX resume to fit a specific job posting — without inventing experience or breaking your formatting.
How it works
1. Open a job posting in your active tab and click the tAIlor toolbar icon.
2. Upload your resume as one or more .tex files (modular resumes with \input{}are supported and merged into a singular .tex)
3. Add optional instructions (tone, emphasis, length).
4. tAIlor reads the job description from the page automatically — or paste it in manually — and returns a single, Overleaf-ready .tex you can download.
What it does
• Reframes your existing bullets toward the role using the posting's own vocabulary — never fabricates experience, metrics, or skills.
• Preserves your preamble, packages, custom macros, sections, and ordering exactly; only the prose is rewritten.
• Merges multiple .tex files into one document that compiles on its own.
• Aims for a clean one-page layout with full-width bullets.
Models & cost — bring your own key
tAIlor calls a large language model using an API key that YOU provide. You have three options:
1. Add optional instructions (tone, emphasis, length).
2. tAIlor reads the job description from the page automatically
3. paste it in manually
and returns a single, Overleaf-ready .tex you can download.
tAIlor is a sidebar extension that rewrites your LaTeX resume to fit a specific job posting — without inventing experience or breaking your formatting.
How it works
1. Open a job posting in your active tab and click the tAIlor toolbar icon.
2. Upload your resume as one or more .tex files (modular resumes with \input{}are supported and merged into a singular .tex)
3. Add optional instructions (tone, emphasis, length).
4. tAIlor reads the job description from the page automatically — or paste it in manually — and returns a single, Overleaf-ready .tex you can download.
What it does
• Reframes your existing bullets toward the role using the posting's own vocabulary — never fabricates experience, metrics, or skills.
• Preserves your preamble, packages, custom macros, sections, and ordering exactly; only the prose is rewritten.
• Merges multiple .tex files into one document that compiles on its own.
• Aims for a clean one-page layout with full-width bullets.
Models & cost — bring your own key
tAIlor calls a large language model using an API key that YOU provide. You have three options:
1. Add optional instructions (tone, emphasis, length).
2. tAIlor reads the job description from the page automatically
3. paste it in manually
and returns a single, Overleaf-ready .tex you can download.
由 1 位評論者給出 0 分
權限與資料
必要權限:
- 存取您在 openrouter.ai 的資料
- 存取您在 api.anthropic.com 的資料
- 存取您在 api.openai.com 的資料
- 存取您在 generativelanguage.googleapis.com 的資料
- 存取您在 api.mistral.ai 的資料
- 存取您在 api.cohere.com 的資料
- 存取您在 api.groq.com 的資料
開發者聲稱必須收集下列資料:
- 可識別個人資訊
- 網站內容
更多資訊
- 附加元件網址
- 版本
- 1.0.0
- 大小
- 312.39 KB
- 最近更新
- 3 天前 (2026年6月2日)
- 相關分類
- 授權條款
- MIT License
- 隱私權保護政策
- 閱讀此附加元件的隱私權保護政策
- 版本紀錄
- 新增至收藏集