Skillo - Resume Tailor

Tailor your Overleaf LaTeX resume to a job posting using your own LLM API key or local Claude Code.

Skillo rewrites your Overleaf LaTeX resume for a specific job, using an AI model you supply and pay for. Paste a LinkedIn job link. Skillo reads the posting, breaks out the skills, tools and keywords the employer is screening for, and rewrites your resume against them — then writes the result straight back into your Overleaf project. HOW IT WORKS 1. Give it a job link. Skillo pulls the posting and analyses what the role actually asks for. 2. Point it at your Overleaf project. It reads the LaTeX source of the open document. 3. Choose how far to go — five levels, from a light reorder to a rewrite for this one job — and a page limit it has to respect. 4. Read the diff, the match score out of 10, the ATS keyword coverage, and the list of every edit. 5. Apply. The revision goes into your Overleaf project, and Ctrl+Z there undoes it in one step. IT WILL NOT INVENT EXPERIENCE At every setting, Skillo is instructed never to add an employer, title, date, degree, certification, project, metric or skill that is not already in your resume or in the notes you write. It reorders, rephrases, condenses and cuts. What it cannot honestly claim, it lists as a remaining gap instead of writing around it. YOU BRING THE MODEL Skillo has no server and no account. Use an OpenRouter, OpenAI or Anthropic API key, or run Claude Code locally through the optional bridge. Requests go from your browser straight to the provider you chose. Your key is stored on your own machine and is deliberately never synced between devices. WHAT IT NEEDS ACCESS TO LinkedIn, to read the job posting. Overleaf, to read and write the document you have open. The API endpoint of whichever provider you configured. Nothing else. Open source: https://github.com/mehrshaad/Skillo