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Agent skill

Cv Analyze

by xujingchen1996 in xujingchen1996/research-app-toolkit

A skill your agent uses when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV.

MITAuto-check passedBusiness, Finance & HR

Install Cv Analyze

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

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

GitHub CLI
$ gh skill install xujingchen1996/research-app-toolkit cv-analyze --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-analyze .claude/skills/cv-analyze && 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-analyze
GitHub stars
134
Token cost
~690 tokens
SKILL.md length
334 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 analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV.

  • Works in 5 steps: Confirm the CV file path → Read the CV content → Extract and organize the following… → …
  • The user asks to analyze a CV
  • SKILL.md covers Shared State, Language Rules, Workflow and Output Requirements, plus 1 more section
  • Calls rg

What it does

Cv Analyze is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV. Read the user's CV or resume, produce a structured research application profile, and write it to the shared memory file for reuse by other application skills.

Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR, covering Recruiting and HR. 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 analyze a CV
  • Extract an applicant profile
  • Review a resume

Example prompts

  • “/cv-analyze”

Requirements

  • Python 3

Workflow steps

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

  1. Confirm the CV file path
  2. Read the CV content
  3. Extract and organize the following information
  4. Based on that, provide
  5. Write the result back to ../../memory.md

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

    Shell commands in SKILL.md call:

    • rg

    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 Analyze loads about 690 tokens when it runs. Until then it costs about 70 tokens; SKILL.md has 334 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~70
When it runs · the whole SKILL.md, loaded when a task matches
~690

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). 334 words, ~690 tokens.

Download SKILL.mdSave it as .claude/skills/cv-analyze/SKILL.md (or your agent's skills folder).
name
cv-analyze
description
Use when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV. Read the user's CV or resume, produce a structured research application profile, and write it to the shared memory file for reuse by other application skills.

CV Profile Analysis

Shared State

  • The shared memory file is located at ../../memory.md.
  • Read that file first at the beginning; if it does not exist, create a template with the same structure.
  • After profile analysis is completed, rewrite the entire memory.md and set cv_profile_analyzed in the frontmatter to true.

Language Rules

  • Support three output modes: zh, en, and bilingual.
  • If the user's current message explicitly specifies a language, prioritize the current message.
  • Otherwise read preferred_language from memory.md.
  • If it is still unclear, follow the user's current conversation language.
  • Section headings in memory.md should remain in a fixed English structure, while section content may be written in the selected language.

Workflow

  1. Confirm the CV file path:
    • First read cv_file_path from the memory.md frontmatter.
    • If it is empty, search the current working directory with rg --files for files related to cv, CV, resume, or Resume.
    • If it still cannot be found, directly ask the user for an explicit path in Chinese.
  2. Read the CV content:
    • For PDFs, first try command-line extraction such as pdftotext.
    • On macOS, fall back to textutil -convert txt -stdout.
    • If that still fails, use a Python library as a fallback extractor.
    • For DOCX files, prefer textutil, and use Python only when necessary.
  3. Extract and organize the following information:
    • Educational background
    • Technical skills
    • Research-related projects and experience
    • Work / internship experience
    • Awards and honors
    • Papers / outputs
  4. Based on that, provide:
    • Strengths for Applications
    • Areas for Improvement
    • Packaging Opportunities
  5. Write the result back to ../../memory.md:
    • update cv_file_path
    • update cv_profile_analyzed
    • reorganize all sections cleanly, rather than only appending to the end

Output Requirements

  • When reporting back to the user, prioritize:
    • the 3 strongest application strengths
    • the experience that best connects to research direction
    • 2 to 3 points that can be packaged more strongly

Constraints

  • Record grades and weaknesses objectively only; do not make emotional judgments.
  • Do not fabricate papers, awards, projects, or research experience.
  • If the CV content is incomplete or extraction fails, first state the missing items clearly, then continue.

© 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-analyze of xujingchen1996/research-app-toolkit.

Open the folder on GitHubat commit d84dbc0

Compare with similar skills

Cv Analyze 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 Analyze compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cv Analyze this skillxujingchen1996/research-app-toolkit134—~690Automated safety check: PassMIT
Get Jobagentenatalie/get-job.skill629—~1.7kAutomated safety check: PassCC-BY-NC-ND-4.0
Resume Reviewerweeelin98/ResumeDom169—~2.4kAutomated safety check: PassNone
Build Resume Portfolio Sitetao943/build-resume-portfolio-site195—~5.8kAutomated safety check: PassNone
Cyber Resume Reviewermubix/cyber-resume-reviewer-skill184—~2.9kAutomated safety check: PassMIT
Repo To Resume TailorSsabby1/repo-to-resume-tailor127—~1.8kAutomated safety check: PassMIT

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Categories

Questions about Cv Analyze

What does Cv Analyze do?

A skill your agent uses when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV. Cv Analyze is an agent skill from xujingchen1996/research-app-toolkit. Use when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV.

When should I use Cv Analyze?

Cv Analyze fits situations like: the user asks to analyze a CV; extract an applicant profile; review a resume.

How do I install Cv Analyze in Claude Code?

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

How do I install Cv Analyze in Codex?

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

Can I use Cv Analyze 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-analyze -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-analyze, .gemini/skills/cv-analyze, .github/skills/cv-analyze and .opencode/skills/cv-analyze in your project.

What does Cv Analyze need to run?

Going by SKILL.md and its folder, Cv Analyze needs the command-line tools its instructions call (rg). Our summary lists: Python 3.

Does Cv Analyze 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 Analyze 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 Analyze use?

Cv Analyze 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 Analyze use?

About 690 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 Analyze?

Skills that share tags, products or a category with Cv Analyze: Get Job (agentenatalie/get-job.skill, 629 stars), Resume Reviewer (weeelin98/ResumeDom, 169 stars), Build Resume Portfolio Site (tao943/build-resume-portfolio-site, 195 stars) and Cyber Resume Reviewer (mubix/cyber-resume-reviewer-skill, 184 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cv Analyze?

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.