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Install in OpenClaw
/install cv-skill
Description
Create professional Harvard-style resumes and CVs from user-provided candidate descriptions, structured data, or existing resumes. Use when the user wants a...
README (SKILL.md)
CV Skill
Create role-targeted, black-and-white, Harvard-style resumes from candidate descriptions, structured input, or existing resumes.
Use this skill when
- The user wants a professional resume or CV in
.docx - The user gives a rough candidate description and wants the agent to draft the resume from scratch
- The user wants one candidate rewritten into multiple job-targeted versions
- The user provides a PDF, notes, or rough bullets and wants a polished resume
- The user wants tighter, more professional bullets without fluff
- The user wants a Harvard-style layout with larger spacing and clean hierarchy
- The user needs output in a language other than Chinese or English
Workflow
1. Gather candidate data
Use the structured schema in references/input-schema.md.
If you are starting from an existing resume, extract:
- contact info
- summary / positioning
- education
- work experience
- projects
- campus or extracurricular items
- tools, languages, certificates
- target job directions
2. Define track-specific positioning
For each job direction, rewrite:
- resume title
- 2-3 sentence summary
- bullet emphasis within experience
- skills ordering
Keep facts intact. Do not invent results or responsibilities.
3. Generate the resume
Run:
python3 scripts/generate_resume.py --input assets/example_profile.json --track all --output-dir /tmp/cv-output
Generate a specific track:
python3 scripts/generate_resume.py --input candidate.json --track operations --output-dir /tmp/cv-output
Try PDF export when LibreOffice is installed:
python3 scripts/generate_resume.py --input candidate.json --track all --output-dir /tmp/cv-output --pdf
4. Validate before delivery
Check that:
- no hardcoded personal info from unrelated candidates remains
- dates and headings are consistent
- bullets are role-targeted rather than generic
- low-signal items are removed or pushed down
- generated filenames are generic and safe
Layout rules
- Single column
- Black and white only
- Section headers with strong hierarchy
- Larger spacing than default Word exports
- Short, factual bullets
- Avoid self-evaluation phrases such as “责任心强” or “结果导向”
- Prefer evidence and scope over adjectives
Safety rules
- Do not hardcode real candidate data into scripts
- Do not store secrets, API keys, tokens, or
.envfiles in the skill folder - Keep outputs outside the skill folder unless the user explicitly wants examples saved there
- Use
assets/example_profile.jsononly as a redacted example
Files
scripts/generate_resume.py: generic generatorreferences/input-schema.md: input contractreferences/rewriting-guide.md: track-specific rewriting guidanceassets/example_profile.json: safe sample inputagents/openai.yaml: UI metadata
Usage Guidance
This skill appears to do only what it says: generate DOCX (and optionally PDF) resumes from a JSON input. Before running, verify you have Python and the python-docx package installed, run the script in a directory you control, and inspect generated files before sharing. Because the script will write files, avoid running it with elevated privileges and don't place real candidate PII in the skill folder—use redacted example files. If you need stronger assurance, open and review scripts/generate_resume.py yourself or run it in an isolated environment. If you plan to enable autonomous agent invocation, remember the agent could run this script and write output without additional prompts — only enable that if you trust the skill and its inputs.
Capability Analysis
Type: OpenClaw Skill
Name: cv-skill
Version: 1.0.0
The cv-skill bundle is a legitimate tool for generating professional resumes in DOCX and PDF formats. The core logic in scripts/generate_resume.py uses the python-docx library and safely invokes LibreOffice via subprocess.run (using argument lists to prevent shell injection) for PDF conversion. The instructions in SKILL.md and the associated documentation are clearly aligned with the stated purpose and include explicit safety rules against hardcoding sensitive data or storing secrets.
Capability Assessment
Purpose & Capability
Name, description, SKILL.md, reference docs, example JSON, and the Python generator are all aligned: the package is a local resume generator. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
Runtime instructions tell the agent to use the included script and schema, review outputs, and avoid hardcoding secrets. The script only reads a user-provided JSON, uses local fonts/styles, writes DOCX output, and optionally calls LibreOffice to convert to PDF. There are no instructions to read unrelated system files, environment variables, or to send data to external endpoints.
Install Mechanism
There is no install spec (instruction-only + local script). The script requires Python and the python-docx package (not declared in metadata) and optionally LibreOffice/soffice for PDF conversion. This is normal but users should be aware they must install python-docx and have Python available.
Credentials
The skill declares no required environment variables, no credentials, and the code does not read env vars. No sensitive or unrelated secrets are requested.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or system-wide agent settings. It runs locally when invoked and writes output files to a user-specified directory only.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install cv-skill - After installation, invoke the skill by name or use
/cv-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
cv-skill 1.0.0 – Initial Release
- Create professional Harvard-style, single-column resumes from structured data or candidate inputs.
- Supports multiple job-targeted resume versions, translation to any language, and exports in DOCX/PDF formats.
- Focus on concise, factual bullets with clean hierarchy—no fluff, adjectives, or self-evaluation phrases.
- Includes scripts, data schema, rewriting guidance, and safe sample input for easy generation and customization.
- Enforces strong safety rules: no hardcoded candidate data, secrets, or unsafe outputs.
Metadata
Frequently Asked Questions
What is CV Skill?
Create professional Harvard-style resumes and CVs from user-provided candidate descriptions, structured data, or existing resumes. Use when the user wants a... It is an AI Agent Skill for Claude Code / OpenClaw, with 97 downloads so far.
How do I install CV Skill?
Run "/install cv-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is CV Skill free?
Yes, CV Skill is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does CV Skill support?
CV Skill is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created CV Skill?
It is built and maintained by Jason (@jasoncodespace); the current version is v1.0.0.
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