Resume Optimizer skill
Resume Optimizer audits a resume against a problem checklist, turns duties into results and fits it to one page for a target job.
- 571 ★ on the repository
- Last commit
- MIT
Minimal access
Why this level
- The skill handles personal resume data and takes no actions outside the chat.
Install
- Works in
In your terminal, with SkillFoxx CLI
npx skillfoxx add skills/resume-optimizerDetects the agents on your machine, shows the access level and pins the version.
Other ways to install
Access and checks
How we reviewMinimal accessThe tool runs nothing and makes no network calls.
- The skill handles personal resume data and takes no actions outside the chat.
This is third-party code. Review the repository files before installing.
What it does
The Resume Optimizer skill finds the most visible problems in a resume, rewrites lines from "responsible for" to "delivered", draws out numbers and outcomes and tunes keywords to a job description. Output follows a fixed scheme: a 30 second verdict, a problem list, quantitative reinforcement, an edit strategy, rewritten fragments or a full draft and next steps. References hold an audit checklist, career-narrative tools, one-page resume rules and a red-flag list: outsourcing, toy projects, missing numbers, distorted technical wording. The skill only writes content, and the README advises a separate tool, Kami, for PDF layout.
Who it is for. Job seekers, especially developers, who want to strengthen a resume for a specific role without inventing numbers.
Good fit when
- The experience section lists duties and no results.
- A two-page resume is compressed to one while keeping the main achievements.
- A senior backend job post requires shifting emphasis and keywords.
- A project is described vaguely and its business effect must be found.
- Finished content is then typeset into a PDF with a separate tool.
Not a fit when
- Finished PDF layout is needed: the README recommends Kami for it.
- The resume would need numbers the author does not have: the skill asks not to invent data.
- The document is a cover letter or a social profile rather than a resume.
Example request
Use resume-optimizer: audit my resume for a senior backend role, rewrite without invented numbers and ask about outcomes first.Limitations
The skill covers content, not layout: for PDF the README recommends Kami, a separate install. Before rewriting it asks the author for numbers and facts and should not invent metrics, but the final text still needs your own read-through. Description and examples are in Chinese, and the docs also work for requests in English or Russian. A resume holds personal data, so remove extra contacts before pasting it into an agent chat. The last commit dates from August 2026.
How to disable. Delete the `resume-optimizer` folder from the Claude Code or Codex skills directory.
FAQ
Does the skill invent numbers?
No. The README prompts say to rewrite without invented data, and the skill gathers missing metrics by asking the author.
Can I get a one-page version?
Yes, the skill asks for confirmation and compresses the resume while keeping the outcomes that best prove value.
How do I get a PDF?
The README advises Kami with a ready resume template and switching the cream background to white before sending.
Which agents are supported?
Through `npx skills add` the skill installs into Claude Code, Codex, Cursor, GitHub Copilot, Windsurf, Gemini, Cline and other clients.
What does the output look like?
It opens with a 30 second verdict, then a problem list, metric reinforcement, edit strategy, rewritten text and next steps.
Discussion
No questions or reviews yet.
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README in short
The project does one job: it turns a loose resume into a persuasive job-search document. The repository can be maintained and distributed on its own.