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Agent skill

Cv Polish

by xujingchen1996 in xujingchen1996/research-app-toolkit

A skill your agent uses when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV.

MITAuto-check passed

Install Cv Polish

skills CLI
$ npx skills add xujingchen1996/research-app-toolkit --skill cv-polish -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install xujingchen1996/research-app-toolkit cv-polish --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/xujingchen1996/research-app-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/codex/skills/cv-polish .claude/skills/cv-polish && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cv-polish
GitHub stars
134
Token cost
~710 tokens
SKILL.md length
360 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV.

  • Works in 4 steps: Read the original CV → Review it from the following dimensions → Make targeted refinements based on the… → …
  • The user asks to polish a CV
  • SKILL.md covers Preconditions, Language Rules, Fill In the Key Information… and Working Method, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Cv Polish is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV. Based on the shared application profile, suggest revisions or produce rewrites for structure, phrasing, and target-program fit.

Its SKILL.md is about 710 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: Research Application Toolkit - Claude Code plugin for PhD, MRes, MPhil applications. The licence is MIT.

When your agent uses it

  • The user asks to polish a CV
  • Tailor a resume

Example prompts

  • “/cv-polish”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Read the original CV
  2. Review it from the following dimensions
  3. Make targeted refinements based on the target program
  4. Decide the delivery mode based on the source file type

What it can do on your machine

Read from SKILL.md and the folder at commit d84dbc0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cv Polish loads about 710 tokens when it runs. Until then it costs about 59 tokens; SKILL.md has 360 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~59
When it runs · the whole SKILL.md, loaded when a task matches
~710

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from xujingchen1996/research-app-toolkit at commit d84dbc0, republished under its MIT licence (© xujingchen1996). 360 words, ~710 tokens.

Download SKILL.mdSave it as .claude/skills/cv-polish/SKILL.md (or your agent's skills folder).
name
cv-polish
description
Use when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV. Based on the shared application profile, suggest revisions or produce rewrites for structure, phrasing, and target-program fit.

CV Refinement

Preconditions

  • Read ../../memory.md first.
  • If cv_profile_analyzed is not true, or ## CV Profile is basically empty, first suggest that the user run cv-analyze, unless the user explicitly asks you to rebuild the profile directly from the current CV.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user explicitly specifies the output language or target CV language, prioritize the user's specification.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, default to following the user's current conversation language.
  • If the user requests bilingual output, prioritize one main version plus a short counterpart note, rather than mechanically repeating every line twice.

Fill In the Key Information First

If any of the following is missing, ask concise questions in Chinese to fill it in:

  • target program / school / degree
  • which 1 to 2 experiences should be emphasized
  • target research direction
  • desired output language

Working Method

  1. Read the original CV:
    • Prefer the cv_file_path recorded in memory.md
    • If it is missing, then confirm the path with the user
  2. Review it from the following dimensions:
    • whether the structural order fits research-oriented applications
    • whether the bullets use clear verbs and explicit outcomes
    • whether research-related experience is placed early enough
    • whether common research-application elements are missing, such as publications, research experience, methods, or technical stack
  3. Make targeted refinements based on the target program:
    • strengthen the experiences most relevant to the target direction
    • adjust section order
    • add necessary keywords, but do not invent experiences
  4. Decide the delivery mode based on the source file type:
    • if it is a text-based source file, it can be edited directly
    • if it is a format such as PDF / DOCX that is not suitable for stable direct rewriting, default to section-by-section rewriting suggestions and a copyable new version
Show full SKILL.md (67 more words)Show less

Output Requirements

  • Include at least three parts:
    • the main issue list
    • the refined version or section-by-section rewriting suggestions
    • why these changes fit research applications better

Constraints

  • Do not force ordinary industry experience into fake research experience.
  • Do not delete hard information that is valuable for application judgment just for appearance.
  • If the user has given a clear target, prioritize that target instead of doing generic CV optimization.

© xujingchen1996, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in codex/skills/cv-polish of xujingchen1996/research-app-toolkit.

Open the folder on GitHubat commit d84dbc0

Compare with similar skills

Cv Polish next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cv Polish compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cv Polish this skillxujingchen1996/research-app-toolkit134—~710Automated safety check: PassMIT
Resume Tailorreactive-resume/reactive-resume44k—~8.3kAutomated safety check: PassMIT
Resume Bullet Writerreactive-resume/reactive-resume44k—~8kAutomated safety check: PassMIT
Reactive Resume Builderreactive-resume/reactive-resume44k—~2kAutomated safety check: PassMIT
Resume Content Guidereactive-resume/reactive-resume44k—~11kAutomated safety check: WarnMIT
Resume Version Managerdavila7/claude-code-templates33k2 repos~2.1kAutomated safety check: PassMIT

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  • Cv Analyze

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  • Document Assist

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  • Gap Analysis

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  • Interview Ppt

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    A skill your agent uses when the user asks to prepare a PhD interview deck, professor meeting slides, research presentation PPT, slide-by-slide speaking notes, or interview visuals.

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  • Interview Prep

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Questions about Cv Polish

What does Cv Polish do?

A skill your agent uses when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV. Cv Polish is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to polish a CV or resume, improve a CV, tailor a resume, or optimize a CV.

When should I use Cv Polish?

Cv Polish fits situations like: the user asks to polish a CV; tailor a resume.

How do I install Cv Polish in Claude Code?

Run `npx skills add xujingchen1996/research-app-toolkit --skill cv-polish -a claude-code`. Or copy the skill folder (codex/skills/cv-polish in xujingchen1996/research-app-toolkit) into .claude/skills/cv-polish in your project. Claude Code loads it when a task matches its description.

How do I install Cv Polish in Codex?

Run `npx skills add xujingchen1996/research-app-toolkit --skill cv-polish -a codex`. Or copy the skill folder (codex/skills/cv-polish in xujingchen1996/research-app-toolkit) into .agents/skills/cv-polish in your project. Codex loads it when a task matches its description.

Can I use Cv Polish in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add xujingchen1996/research-app-toolkit --skill cv-polish -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cv-polish, .gemini/skills/cv-polish, .github/skills/cv-polish and .opencode/skills/cv-polish in your project.

What does Cv Polish need to run?

SKILL.md names no scripts, command-line tools or credentials: Cv Polish is instructions for the agent only.

Does Cv Polish access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cv Polish safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cv Polish use?

Cv Polish is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cv Polish use?

About 710 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cv Polish?

Skills that share tags, products or a category with Cv Polish: Resume Tailor (reactive-resume/reactive-resume, 44k stars), Resume Bullet Writer (reactive-resume/reactive-resume, 44k stars), Reactive Resume Builder (reactive-resume/reactive-resume, 44k stars) and Resume Content Guide (reactive-resume/reactive-resume, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cv Polish?

xujingchen1996 (a GitHub user) maintains it in xujingchen1996/research-app-toolkit, which has 134 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on July 18, 2026.

Source: xujingchen1996/research-app-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.