How do I install the Resume Tailor skill?

Run npx skillmds add majiayu000/resume-tailor in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Resume Tailor safe to use?

This skill has not completed SkillMD's automated safety review yet. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Resume Tailor?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Resume Tailor free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Resume Tailor?

majiayu000 (@majiayu000) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Resume Tailor by majiayu000 — Agent Skill

Name: Resume Tailor
Rating: 4.666666666666667 (3 reviews)
Author: majiayu000

File contents

Skill: Resume Tailor

Summary

The core engine of ROLESENSE.ai. It takes a Master Resume and a Job Description, calculates a match score, and generates a tailored version of the resume.

When to Use

The agent SHOULD use this skill when:

The user requests to "tailor," "optimize," or "rewrite" a resume for a job.
The user asks for a "Match Score" or "Gap Analysis."
The user wants to export the final PDF.

Primary Goal

Generate a tailored resume that maximizes keyword overlap with the Job Description WITHOUT fabricating experience.

High-Level Procedure

Load Data: Retrieve Master Resume (JSON) and Job Description (JSON).
Score: Calculate Cosine Similarity between resume embeddings and JD embeddings.
Analyze: Identify missing keywords (Gap Analysis).
Tailor (RAG):
- For each experience block, retrieve relevant bullets.
- Rephrase bullets to highlight JD keywords using scripts/rewrite_bullet.py.
Verify: Run scripts/audit_fabrication.py to ensure no new facts were added.
Format: Generate final layout/PDF.

Inputs

master_resume_json: The source data.
job_description_json: The target requirements.

Constraints & Guardrails

NON-FABRICATION: The audit_fabrication.py script MUST return True before outputting the result.
ATS Compliance: Output must avoid columns or graphics if "ATS Mode" is selected.
User Approval: Always present the "Diff" (changes made) before finalizing.

References

/examples/tailoring_examples.md: Examples of good vs. bad rewriting (hallucination prevention).
/scripts/vectorize.py: Handles Ollama embedding generation.
/scripts/audit_fabrication.py: Logic to compare entities in source vs. output.

---name: resume-tailordescription: Compose tailored resume with no fabricated content. Uses LLM to rewrite bullet points to align with job description keywords while strictly adhering to facts.--- # Skill: Resume Tailor ## Summary The core engine of ROLESENSE.ai. It takes a Master Resume and a Job Description, calculates a match score, and generates a tailored version of the resume. ## When to Use The agent SHOULD use this skill when: - The user requests to "tailor," "optimize," or "rewrite" a resume for a job. - The user asks for a "Match Score" or "Gap Analysis." - The user wants to export the final PDF. ## Primary Goal Generate a tailored resume that maximizes keyword overlap with the Job Description WITHOUT fabricating experience. ## High-Level Procedure 1. **Load Data**: Retrieve Master Resume (JSON) and Job Description (JSON). 2. **Score**: Calculate Cosine Similarity between resume embeddings and JD embeddings. 3. **Analyze**: Identify missing keywords (Gap Analysis). 4. **Tailor (RAG)**: - For each experience block, retrieve relevant bullets. - Rephrase bullets to highlight JD keywords using `scripts/rewrite_bullet.py`. 5. **Verify**: Run `scripts/audit_fabrication.py` to ensure no new facts were added. 6. **Format**: Generate final layout/PDF. ## Inputs - `master_resume_json`: The source data. - `job_description_json`: The target requirements. ## Constraints & Guardrails - **NON-FABRICATION**: The `audit_fabrication.py` script MUST return True before outputting the result. - **ATS Compliance**: Output must avoid columns or graphics if "ATS Mode" is selected. - **User Approval**: Always present the "Diff" (changes made) before finalizing. ## References - `/examples/tailoring_examples.md`: Examples of good vs. bad rewriting (hallucination prevention). - `/scripts/vectorize.py`: Handles Ollama embedding generation. - `/scripts/audit_fabrication.py`: Logic to compare entities in source vs. output.

Frequently asked questions