Install
$ agentstack add skill-eigent-ai-agent-skills-resume-tailoring ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
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.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: eigent-ai
- Source: eigent-ai/agent-skills
- License: Apache-2.0
- Homepage: https://www.eigent.ai/skills
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.