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resume-tailoring

Name: Resume Tailoring
Author: eigent-ai

// Tailor a resume to a job description with ATS keyword optimization, gap analysis, and rewritten bullets — zero fabrication. Use when the user wants /tailor for a single role, /batch for multiple JDs, career pivot reframing, or interview prep questions from a tailored application.

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stars:11

forks:0

updated:May 26, 2026 at 15:17

SKILL.md

readonly

name	resume-tailoring
description	Tailor a resume to a job description with ATS keyword optimization, gap analysis, and rewritten bullets — zero fabrication. Use when the user wants /tailor for a single role, /batch for multiple JDs, career pivot reframing, or interview prep questions from a tailored application.
metadata	{"source-repo":"https://github.com/varunr89/resume-tailoring-skill"}

Resume Tailoring

AI-powered resume tailoring — gap analysis, ATS keywords, bullet reordering and rewriting. Every change grounded in existing content; no fabrication.

Source Repository

GitHub: varunr89/resume-tailoring-skill
Install upstream: npx skills add varunr89/resume-tailoring-skill

`/tailor`

Paste (or point to) resume + job description.

Workflow:

Parse the JD — required skills, seniority signals, keywords ATS will scan.
Map existing experience to requirements.
Rewrite bullets to lead with most relevant impact (action → scope → result).
Inject missing keywords only where honestly supported by existing experience.
Output tailored resume + gap analysis report.

Gap analysis report includes:

Requirements fully covered
Partial matches needing stronger framing
Genuine gaps to address in cover letter or upskilling
Suggested talking points for interviews

Example prompts:

Tailor my resume [paste] for this job description [paste]. Emphasize relevant experience, add missing keywords, flag gaps for my cover letter.
I'm applying for Staff Engineer. Elevate framing from IC execution to technical leadership, system thinking, cross-team impact.
Moving from data analyst to PM — reframe analytical work as product thinking; note transferable skills and gaps.

`/batch`

Processes 3–5 job descriptions in one run — uniquely tailored variant per JD.

Output:

One tailored resume per role
Diff summary per variant (what changed and why)
Optional: best-fit role ranking and largest-gap role

Example prompts:

Base resume [paste] + 4 job descriptions [paste all 4]. Generate tailored variants with diff summary per version.
Run batch on 3 PM roles. After tailoring, tell me which fits best and which has the largest gap.
After tailoring [resume + JD], generate 10 likely interview questions with suggested talking points.

Output Formats

Deliver in the format requested:

Markdown (default)
DOCX (use docx skill if available)
PDF (use pdf skill if available)

Guardrails

Zero fabrication policy:

Never invent employers, titles, dates, metrics, or skills not in the source resume.
Reframe and emphasize — do not fabricate.
When a JD keyword has no honest match, flag it in the gap analysis instead of inserting it.
Preserve the user's voice; avoid generic corporate filler.

related-skills.json

same repository

changelog-generator.md

from "eigent-ai/agent-skills"

Transform git commit history into polished user-facing changelogs and release notes. Use when the user wants a CHANGELOG.md from a version tag or date range, weekly product updates, app store release notes, or Keep a Changelog formatted output with internal noise filtered out.

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humanizer.md

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Detect and rewrite AI writing patterns to make content sound authentically human. Supports voice calibration from the author's own writing samples. Use when asked to humanize text, remove AI patterns, calibrate voice, audit content for AI detectability, or check if writing sounds like ChatGPT. Triggers: /humanize, /voice-calibrate, /audit-ai

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claude-for-legal.md

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Full legal plugin suite for commercial contract review, privacy/DPA analysis, and AI governance vendor reviews. Use when the user invokes /commercial-legal:review, /privacy-legal:dpa-review, /ai-governance-legal:vendor-ai-review, renewal tracking, DSAR responses, or EU AI Act triage.

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contract-review-risk-scoring.md

from "eigent-ai/agent-skills"

Review contracts with clause-by-clause risk scoring, market benchmarks, negotiability ratings, and redline suggestions. Use when the user pastes an NDA, SaaS/MSA, M&A LOI, or payment agreement and wants a Contract Safety Score, CUAD-based risk breakdown, or /review as [position] analysis.

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legal-work-plugin.md

from "eigent-ai/agent-skills"

In-house legal workflows for contract review against playbooks, NDA triage with GREEN/YELLOW/RED ratings, compliance briefings, and vendor checks. Use when the user invokes /review-contract, /triage-nda, /legal-risk-assessment, or /vendor-check for organisation-standard legal analysis.

2026-05-2611

package.json

"author": "eigent-ai"

"repository": "eigent-ai/agent-skills"

View GitHub Repository View Creator Repositories

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Run Skill in Manus

name	resume-tailoring
description	Tailor a resume to a job description with ATS keyword optimization, gap analysis, and rewritten bullets — zero fabrication. Use when the user wants /tailor for a single role, /batch for multiple JDs, career pivot reframing, or interview prep questions from a tailored application.
metadata	{"source-repo":"https://github.com/varunr89/resume-tailoring-skill"}

Resume Tailoring

AI-powered resume tailoring — gap analysis, ATS keywords, bullet reordering and rewriting. Every change grounded in existing content; no fabrication.

Source Repository

GitHub: varunr89/resume-tailoring-skill
Install upstream: npx skills add varunr89/resume-tailoring-skill

`/tailor`

Paste (or point to) resume + job description.

Workflow:

Parse the JD — required skills, seniority signals, keywords ATS will scan.
Map existing experience to requirements.
Rewrite bullets to lead with most relevant impact (action → scope → result).
Inject missing keywords only where honestly supported by existing experience.
Output tailored resume + gap analysis report.

Gap analysis report includes:

Requirements fully covered
Partial matches needing stronger framing
Genuine gaps to address in cover letter or upskilling
Suggested talking points for interviews

Example prompts:

Tailor my resume [paste] for this job description [paste]. Emphasize relevant experience, add missing keywords, flag gaps for my cover letter.
I'm applying for Staff Engineer. Elevate framing from IC execution to technical leadership, system thinking, cross-team impact.
Moving from data analyst to PM — reframe analytical work as product thinking; note transferable skills and gaps.

`/batch`

Processes 3–5 job descriptions in one run — uniquely tailored variant per JD.

Output:

One tailored resume per role
Diff summary per variant (what changed and why)
Optional: best-fit role ranking and largest-gap role

Example prompts:

Base resume [paste] + 4 job descriptions [paste all 4]. Generate tailored variants with diff summary per version.
Run batch on 3 PM roles. After tailoring, tell me which fits best and which has the largest gap.
After tailoring [resume + JD], generate 10 likely interview questions with suggested talking points.

Output Formats

Deliver in the format requested:

Markdown (default)
DOCX (use docx skill if available)
PDF (use pdf skill if available)

Guardrails

Zero fabrication policy:

Never invent employers, titles, dates, metrics, or skills not in the source resume.
Reframe and emphasize — do not fabricate.
When a JD keyword has no honest match, flag it in the gap analysis instead of inserting it.
Preserve the user's voice; avoid generic corporate filler.

resume-tailoring

Resume Tailoring

Source Repository

/tailor

/batch

Output Formats

Guardrails

More from this repository

More from this repository

Resume Tailoring

Source Repository

/tailor

/batch

Output Formats

Guardrails

`/tailor`

`/batch`

`/tailor`

`/batch`