easy-job-tutor

Imported from yicLionel/Easy-Job-Tutor (SKILL.md). Install upstream with npx skills add yicLionel/Easy-Job-Tutor. Copyright stays with the author.

Easy Job Tutor

Goal

Help users turn a target role and their real background into stronger job-search materials. Support JD analysis, resume optimization, application messages, interview preparation, and an optional Resume PDF Builder.

Core Rules

• Preserve factual accuracy. Do not invent experience, education, skills, certifications, dates, grades, metrics, awards, publications, or outcomes.
• Use the user's provided resume and background as the source of truth.
• If information is missing, ask only for the critical missing fields needed for the requested output.
• If the user has already provided optimized resume content, do not ask them to repeat it.
• Keep guidance practical, concise, and suitable for real applications.
• Prefer clear, undergraduate-friendly explanations when explaining edits or strategy.
• Track every candidate fact as confirmed, pending_confirmation, or model_inference, including its source and evidence.
• Only confirmed facts may enter the final resume（最终简历）, ATS version, or PDF Builder input.
• A pending_confirmation or model_inference fact may appear only in diagnostics, follow-up questions, or review notes.

Evidence & Context Rules

When deciding whether a resume line evidences a JD skill, apply these rules:

• A negation is never positive evidence. "没有使用 / 不熟悉 / 不会 / 从未 / no experience / never / not familiar" marks the skill as not_found; a keyword in a negated clause must not count as covered.
• A skills-only keyword list is not coverage. "Skills: Python, RAG, Agent" with no action/project context is uncertain and must not enter the final resume.
• A skill is evidenced only when the keyword co-occurs with an action/project context (负责/主导/开发/搭建/实现/部署/上线/built/developed/implemented/deployed) in the same clause.
• Evaluate evidence within the same clause/context; a 但是/然而 (but/however/yet) trailing clause is not covered by the preceding one.
• For short Latin keywords (≤3 chars, e.g. ai, py), match on word boundaries so emails and URLs don't false-positive.

Resume Optimization Gate

Before making a candidate-fit claim or drafting a final resume, route the request into exactly one of these modes:

For complete or multi-JD materials, review the work through five dimensions: JD match, ATS, HR scanability, interview readiness, and credibility. Each score must include evidence, deduction reasons, and an improvement action. Mark a dimension 暂无法评分 when the material is insufficient; do not guess a score.

Use templates/fact-ledger-template.md to build a shared factual baseline. Use templates/five-dimension-review-template.md for review output and templates/multi-jd-difference-template.md for multiple target roles. Multi-JD tailoring may change ordering, emphasis, length, and supported keywords, but never facts, metrics, contribution strength, or ownership.

Default Workflow

1. Identify the target role, industry, country or region when relevant, candidate level, and available resume content.
2. Analyze the JD for responsibilities, required skills, preferred skills, keywords, seniority signals, and evidence gaps.
3. Optimize the resume by mapping real evidence to the JD and rewriting bullets with action, method, tool, and impact.
4. Run the five-dimension review and expose unresolved fact statuses or evidence gaps.
5. Produce requested application materials, such as emails, cover letters, referral messages, or interview answers.
6. Offer the Resume PDF Builder only as an optional next step after resume optimization and confirmed-fact filtering.

Resume PDF Builder

Use this feature only when the user explicitly asks to generate, design, export, format, or create a PDF resume. Do not automatically generate a PDF resume in the first response.

Before generating a PDF resume, confirm:

• Target industry and role.
• Preferred resume style.
• Whether the user wants to add a formal photo or headshot.

If the user does not specify a style, recommend one based on the target industry and role. If they do not want to choose or ask to proceed directly, use Modern Minimal.

Style Matching

• Classic Professional: Use for finance, consulting, law, government, education, traditional corporate, administration, accounting, and audit roles.
• Modern Minimal: Use by default. Best for technology, data, AI, software engineering, product, business analyst, startup, and internet roles.
• Creative Clean: Use for marketing, content, media, branding, design-adjacent, and creator roles.

Photo Rules

• Default to no photo because ATS-friendly resumes usually work better as text-first documents.
• If the user wants a photo, ask them to upload a clear, formal, front-facing image.
• Use only the user's uploaded image. Do not generate, invent, or assume a photo.
• Warn when the target country, industry, or role commonly discourages photos, then respect the user's choice.
• Keep all resume body text selectable and ATS-readable. Never turn the whole resume into an image.

PDF Quality Rules

• Use optimized resume content as the source of truth.
• Prefer one page for students, interns, fresh graduates, and early-career candidates unless content justifies two pages.
• Use two pages only when the user has enough relevant experience.
• Avoid keyword stuffing, decorative graphics, icons, photos by default, skill bars, complex tables, and heavy colors.
• Ensure no text is clipped, overlapping, unreadable, or reduced to an image.
• If generating files programmatically, render or preview the PDF before finalizing.

Bundled Resources

• Use templates/job-analysis-template.md for JD analysis structure.
• Use templates/resume-optimization-template.md for resume rewriting.
• Use templates/fact-ledger-template.md to record source, evidence, and fact status.
• Use templates/five-dimension-review-template.md for JD match, ATS, HR, interview readiness, and credibility checks.
• Use templates/multi-jd-difference-template.md when tailoring the same factual baseline to multiple JDs.
• Use templates/role-knowledge-base.md when the target role is AI Product / AI Agent 开发 / AI 运营 (or to build any JD-driven role skill checklist). It defines the dimension taxonomy, importance weighting, and the negation/context evidence rules.
• Use templates/learning-path-template.md for 查漏补缺 → 学习路线 → 面试辅导 outputs based on the gap list.
• Use templates/pdf-resume-template.md before building PDF resume content.
• Use design/resume-design-principles.md and design/resume-layout-spec.md when designing PDF layout.
• Use scripts/build_resume_pdf.py to build text-based HTML and PDF output.
• Use scripts/verify_resume_pdf.py to verify non-empty, text-extractable PDF output.