Skill: jasoncodespace/cv-skill (version 1.1.0)

--- name: cv-skill description: Create professional Harvard-style resumes, CVs, and matching cover letters from user-provided candidate descriptions, structured data, or existing resumes. Use when the user wants a polished one-page or role-targeted resume, needs multiple resume versions for different job directions, wants to convert raw candidate notes into structured bullets, or needs DOCX/PDF outputs in any language from structured input data. version: 1.1.0 --- # CV Skill Create role-targeted, black-and-white, Harvard-style resumes and matching cover letters from candidate descriptions, structured input, or existing resumes. ## Use this skill when - The user wants a professional resume or CV in `.docx` - The user wants a concise cover letter matched to a role and employer - 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 - optional cover letter angle: opening fit, 1-2 proof examples, closing Keep facts intact. Do not invent results or responsibilities. ### 3. Apply Harvard-style resume rules Use `references/harvard-hes-2024-notes.md` as the quality checklist: - tailor content to the target role or industry - keep format consistent and easy to skim - use reverse chronological order within sections unless relevance requires a different order - start bullets with active verbs and include scope, skills, and impact - quantify results when the source material supports it - remove personal pronouns, photos, age, marital status, references, slang, and low-signal filler - check contact email and phone are present before delivery ### 4. Generate the resume Run: ```bash python3 scripts/generate_resume.py --input assets/example_profile.json --track all --output-dir /tmp/cv-output ``` Generate a specific track: ```bash python3 scripts/generate_resume.py --input candidate.json --track operations --output-dir /tmp/cv-output ``` Try PDF export when LibreOffice is installed: ```bash python3 scripts/generate_resume.py --input candidate.json --track all --output-dir /tmp/cv-output --pdf ``` If `python-docx` is missing, install dependencies first: ```bash python3 -m pip install -r requirements.txt ``` ### 5. Draft a matching cover letter when requested Use the same font family and general spacing as the resume. Cover letter structure: - recipient block when known; otherwise use a clean generic greeting - opening paragraph naming the role, employer, and fit - middle paragraph(s) connecting 1-2 specific examples to the role requirements - closing paragraph restating interest and interview availability Keep it concise, factual, and no longer than one page. Do not restate the whole resume. ### 6. 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 - resume and cover letter use matching typography - exported PDF preserves layout and does not break bullets or spacing - required contact info is present: email and phone ## Layout rules - Single column - Black and white only - Letter page size by default; A4 supported with `style.page_size` - Section headers with strong hierarchy - Balanced white space; avoid cramped default Word spacing - Short, factual bullets - Avoid self-evaluation phrases such as “责任心强” or “结果导向” - Prefer evidence and scope over adjectives - Contact line may include city, phone, email, LinkedIn, portfolio, or other relevant links - Use section order by relevance; education may move down when experience is stronger ## Safety rules - Do not hardcode real candidate data into scripts - Do not store secrets, API keys, tokens, or `.env` files in the skill folder - Keep outputs outside the skill folder unless the user explicitly wants examples saved there - Use `assets/example_profile.json` only as a redacted example ## Files - `scripts/generate_resume.py`: generic generator - `requirements.txt`: Python dependencies - `references/input-schema.md`: input contract - `references/rewriting-guide.md`: track-specific rewriting guidance - `references/harvard-hes-2024-notes.md`: Harvard Extension School resume and cover letter checklist - `assets/example_profile.json`: safe sample input - `agents/openai.yaml`: UI metadata


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)