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eigent-aieigent-ai/agent-skills/skills/productivity-and-tasks/resume-tailoring/SKILL.md

resume-tailoring

Skill27 starsChanged 8 months agoApache-2.0View on GitHub

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.

6 other projects use a version of this.

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The file

We split this skill into the rules it gives an agent

4 rules. 0 are common, 4 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 6 edited versions we read keep these.

  • 4

    Distinctive

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Run batch on 3 PM roles. After tailoring, tell me which fits best and which has the largest gap.

    line 54
  2. Distinctive:

    After tailoring [resume + JD], generate 10 likely interview questions with suggested talking points.

    line 55
  3. Distinctive:

    Never invent employers, titles, dates, metrics, or skills not in the source resume.

    line 71
  4. Distinctive:

    When a JD keyword has no honest match, flag it in the gap analysis instead of inserting it.

    line 73

“Common” is measured: kept by at least 6 in 10 of the 6 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Resume Tailoring

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

Source Repository

/tailor

Paste (or point to) resume + job description.

Workflow:

  1. Parse the JD — required skills, seniority signals, keywords ATS will scan.
  2. Map existing experience to requirements.
  3. Rewrite bullets to lead with most relevant impact (action → scope → result).
  4. Inject missing keywords only where honestly supported by existing experience.
  5. 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.

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