resume-optimizer-uk_skill

This skill analyzes a resume against a job description, scoring ATS readiness and generating an optimized, annotated version for UK market.
  • Python

2.5k

GitHub Stars

2

Bundled Files

2 months ago

Catalog Refreshed

3 months ago

First Indexed

Readme & install

Copy the install command, review bundled files from the catalogue, and read any extended description pulled from the listing source.

Installation

Preview and clipboard use veilstrat where the catalogue uses aiagentskills.

npx veilstrat add skill openclaw/skills --skill resume-optimizer-uk

  • _meta.json303 B
  • SKILL.md4.5 KB

Overview

This skill provides professional resume analysis and optimization tailored to the UK job market. It scores resumes across five dimensions, recommends ATS and keyword improvements, and generates an annotated, .docx optimized version with tracked changes and Word comments. Use it to improve match to a specific job description and to convert responsibilities into quantifiable achievements.

How this skill works

The tool parses a .docx resume and runs a five-dimension analysis: JD match, quantification, structure, language professionalism, and ATS-friendliness. If you supply a job description, it computes keyword overlap and JD match scores and then prompts targeted follow-up questions to gather missing context. Finally it produces an optimized .docx with Word comments explaining every change, plus a backup of the original.

When to use it

  • You want a score and gap analysis against a specific UK job description.
  • You need an ATS compatibility check and keyword suggestions before applying.
  • You want bullet points rewritten with measurable outcomes using CAR.
  • You need an optimized .docx resume with tracked changes and explanations.
  • You want a clear before→after score comparison for each resume dimension.

Best practices

  • Provide the exact job description to maximize JD match and keyword recommendations.
  • Answer follow-up questions about measurable results, tools, and scope for stronger quantification.
  • Keep standard section headers (Experience, Education, Skills) to improve ATS parsing.
  • Prefer .docx input to preserve formatting and enable Word comments.
  • Prioritise concrete numbers (revenue, % improvements, team size) when available.

Example use cases

  • Mid-level supply chain manager applying to a UK role and needing ATS keyword alignment.
  • Career switcher who needs responsibilities reframed into CAR-format achievements.
  • Senior candidate who wants to quantify leadership impact and improve structure for recruiters.
  • Recruitment consultant preparing client resumes and requiring tracked changes with rationale.
  • Graduate applying to competitive UK graduate schemes and needing ATS-friendly formatting.

FAQ

Upload a .docx resume. The skill parses .docx and outputs an optimized .docx with Word comments.

Will the tool change my resume layout significantly?

It preserves your original structure unless it's severely flawed, then suggests minimal, recruiter-friendly adjustments.

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