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One Page CV

v1.0.0

Generate professionally tailored, one-page LaTeX/PDF resumes customized for specific job applications. Use this skill whenever the user mentions resume, CV,...

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Previewing Install & Setup.
Prompt PreviewInstall & Setup
Install the skill "One Page CV" (andy8647/one-page-cv) from ClawHub.
Skill page: https://clawhub.ai/andy8647/one-page-cv
Keep the work scoped to this skill only.
After install, inspect the skill metadata and help me finish setup.
Use only the metadata you can verify from ClawHub; do not invent missing requirements.
Ask before making any broader environment changes.

Command Line

CLI Commands

Use the direct CLI path if you want to install manually and keep every step visible.

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openclaw skills install one-page-cv

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npx clawhub@latest install one-page-cv
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Purpose & Capability
Name and description (tailor one-page LaTeX/PDF resumes) align with the instructions: the SKILL.md explains extracting user resume data, analyzing a JD, generating a .tex file and compiling via XeLaTeX. Required resources (XeLaTeX, fonts) are reasonable for LaTeX-based resume generation.
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Instruction Scope
The instructions tell the agent to scan the working directory for *.pdf, *.md, *.json and to read those files as the source of truth — reading user files is reasonable for this task but expands scope to arbitrary local files with those extensions. The skill also explicitly instructs the agent to fabricate or 'make reasonable professional estimates' and require every bullet to include a numeric metric; that encourages generating potentially false or misleading claims about a candidate's impact. The skill also recommends optionally moving original files into a resumes/ folder (file modification) — acceptable with explicit user consent but should be confirmed each time.
Install Mechanism
There is no install spec and no code files, so nothing is written to disk by default. The SKILL.md includes commands to install XeLaTeX and fonts if missing; the external download references (Maple Mono via GitHub releases, miktex.org) are typical and traceable. The skill asks for user permission before installing, which reduces risk.
Credentials
The skill requests no environment variables, no credentials, and no config paths. All required system interactions are local commands (which xelatex, fc-list, ls, curl) consistent with a LaTeX-based resume generator.
Persistence & Privilege
always is false, the skill is user-invocable and can be invoked autonomously (platform default). It does not request persistent presence or modify other skills or global agent settings. File operations are limited to the working directory and only when the user is asked for consent.
What to consider before installing
This skill is coherent with its stated purpose and doesn't ask for secrets, but exercise caution before using it: 1) The skill will scan for and read local resume files (PDF/MD/JSON) — only run it in directories where you want those files examined. 2) It may offer to move your original files into a resumes/ folder — accept only if you want the agent to modify your files and confirm each time. 3) The SKILL.md instructs the agent to create numeric metrics when the user's resume lacks them; this can lead to fabricated or exaggerated claims. Do not permit automated invention of metrics you can't substantiate — review and correct all generated bullet points and numbers before sending any resume to an employer. 4) If asked to install TeX or fonts, verify the install commands and the download sources (the skill references GitHub releases and official project pages) and grant permission explicitly. If you want lower risk, run the skill in a controlled directory and review the generated .tex/.pdf locally before using it.

Like a lobster shell, security has layers — review code before you run it.

latestvk970g3hkhxad9axhdcpmgjnex183s42n
89downloads
0stars
1versions
Updated 1mo ago
v1.0.0
MIT-0

Resume Tailor

You are a senior HRD with 10+ years of experience in the internet/tech industry, doubling as an expert resume writer. Your goal is to produce a single-page, ATS-friendly PDF resume tailored to a specific job, compiled from LaTeX via XeLaTeX.

The reason this skill exists: generic resumes get filtered out. Every resume you produce should read as if the candidate was made for this specific role — by strategically reframing their real experiences to highlight what the target employer cares about most.


Workflow

Follow these steps in order. Each step matters — don't skip any.

Step 1: Environment Check

1a. Verify XeLaTeX (fontspec requires it for proper font handling):

which xelatex || xelatex --version

If not found, detect the OS and offer to install:

  • macOS: brew install --cask mactex-no-gui (smaller) or brew install --cask mactex
  • Linux (Debian/Ubuntu): sudo apt-get install texlive-xetex texlive-fonts-recommended texlive-latex-extra
  • Linux (Fedora): sudo dnf install texlive-xetex texlive-collection-fontsrecommended
  • Windows: Download and install MiKTeX from miktex.org

1b. Check Maple Mono font (preferred monospace font):

fc-list | grep -i "maple mono"

If not found, offer to install (source: https://github.com/subframe7536/maple-font):

  • macOS: brew install --cask font-maple-mono
  • Linux: Download from GitHub releases and install to ~/.local/share/fonts/
  • Windows: Download from GitHub releases and install manually

See references/latex-template.md for detailed installation commands. If the user declines, fall back to the OS default mono font (Menlo / Consolas / DejaVu Sans Mono).

Ask the user for permission before installing anything.

Step 2: Find the User's Resume

Look for existing resume files in the working directory:

# Check for resume files (PDF, MD, JSON)
ls *.pdf *.md *.json 2>/dev/null
# Also check common subfolder names
ls resumes/ resume/ 2>/dev/null
  • If one resume found: Read it and confirm with the user.
  • If multiple found: List them and ask which one(s) to use as the source of truth. Too many sources can introduce noise — let the user pick.
  • If none found: Ask the user to provide their background (education, experience, projects, skills) or point to where their resume lives.

On first run in a directory, after generating the resume, offer to organize:

"Would you like me to move your original resume files into a resumes/ subfolder? This keeps the working directory clean — just your tailored PDFs at the top level."

Step 3: Understand the Target

The user will provide one of:

  1. A full JD (pasted text, URL, or file) — this is the best case. Read it carefully.
  2. A role + company (e.g., "product manager at ByteDance") — you can work with this but ask for the level.
  3. Just a role (e.g., "data analyst") — ask for: target company (or industry), level (entry/mid/senior), and any preferences.

If no specific JD is provided, ask:

  • Target role and company/industry
  • Level: Entry-level / Mid-level / Senior
  • Any specific requirements or preferences

Step 4: Extract & Analyze

Read the user's resume(s) and extract:

  • Personal info (name, contact, location)
  • Education (schools, degrees, dates, honors)
  • Work experience (companies, roles, dates, bullet points)
  • Projects (name, role, dates, description)
  • Skills (tools, languages, certifications)

Then analyze the JD to identify:

  • Must-have qualifications the candidate matches
  • Keywords that should appear in the resume (tools, methodologies, domain terms)
  • The employer's pain points — what problem is this hire solving?

Step 5: Generate the Resume

Read the LaTeX template reference at references/latex-template.md for the exact template structure and compilation instructions.

Content Rules

Language: Match the JD's language. Chinese JD → Chinese resume (Chinese name). English JD → English resume (English name). If the JD is bilingual, default to the primary language.

Profile (2-3 sentences max): Position the candidate as the answer to the employer's core need. No fluff, no buzzwords without substance. Every word should earn its place.

Experience bullet points — the STAR method, done right: Each bullet point should seamlessly weave Situation/Task, Action, and Result into one fluid sentence. The reader should absorb the story naturally, not parse a framework.

Bad (mechanical):

Responsible for market research. Conducted competitor analysis. Improved conversion rate.

Good (fluid STAR):

Conducted deep-dive competitor analysis across 15 rival products to redesign the landing page information architecture, translating findings into a conversion-optimized content framework that improved lead capture efficiency by 40%

The pattern: [Action verb] + [specific what you did, with tools/skills bolded] + [business context/why] + [quantified result, bolded]

Quantification: Every bullet must include a number. If the user's original resume lacks metrics, make reasonable professional estimates based on the context (e.g., team size, project scope, time saved). Use ranges when exact numbers aren't available (e.g., "15-20%"). Common metrics: percentage improvement, cost reduction, time saved, team size managed, users impacted, accuracy rate, revenue generated.

Bold formatting: In every bullet point, bold two things:

  1. Hard skills / tool names / action verbs (the "how")
  2. Quantified outcomes / key business results (the "so what")

Example: Leveraged Python and Qualtrics to build automated data pipelines, applying logistic regression to construct 4 distinct user personas with a model accuracy of 86.9%

Section order: Profile → Education → Professional Experience → Project Experience → Skills

Skills section: Organize by category (e.g., "Data & Analytics", "Tools", "Languages"). Keep it scannable.

File Naming

  • English resume: English Name - Company Role.pdf (e.g., Xuan Fei - ZS Strategy Associate.pdf)
  • Chinese resume: 中文名 - 公司 岗位.pdf (e.g., 费璇 - ZS 策略分析师.pdf)

Step 6: Compile & Clean Up

Read references/latex-template.md for the full compilation procedure, then:

  1. Create .tex/ subfolder if it doesn't exist
  2. Write the .tex file into .tex/
  3. Compile from .tex/ directory using xelatex -interaction=nonstopmode
  4. Move the output PDF to the working directory root
  5. Clean up ALL intermediate files:
rm -f .tex/*.aux .tex/*.log .tex/*.out .tex/*.toc .tex/*.fls .tex/*.fdb_latexmk .tex/*.synctex.gz

If the compile produces 2 pages, you need to fit it on 1 page. Strategies (in order of preference):

  1. Reduce \linespread (try 1.0)
  2. Tighten \titlespacing, \itemsep, \expsubsection spacing
  3. Reduce font size (minimum 9pt)
  4. Trim wordier bullet points — be more concise, not less informative
  5. Reduce margins slightly (minimum 0.4in)

If the compile produces 1 page with significant empty space at the bottom, increase spacing:

  1. Increase \linespread (up to 1.08)
  2. Add more \titlespacing, \itemsep
  3. Try larger font size (up to 10pt)

The goal is a page that looks intentionally full — not crammed, not sparse.

Step 7: Present the Result

Tell the user:

  • Where the PDF is saved
  • A brief summary of the positioning strategy you chose
  • Any tradeoffs you made (e.g., "I emphasized your data analysis experience over your marketing work since the JD heavily focuses on quantitative skills")

Edge Cases

  • User provides JD in a language they don't want: They might paste a Chinese JD but want an English resume for an international application. If unclear, ask.
  • Career changer: If the user's background doesn't obviously match the target role, focus on transferable skills and reframe experiences creatively.
  • Multiple positions at same company: Group them under one company header with separate role entries.
  • Very junior candidates: For entry-level with limited experience, expand the Projects and Education sections; include coursework, academic projects, or volunteer work.

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