Not in the top 1,000 by GitHub stars

amanattar/resume-tailoring-skill

Claude skill for tailoring resumes to job descriptions using your existing markdown resume library. Researches the role and company, surfaces relevant real experience, scores fit, and generates truthful resumes for single jobs or small job batches.

History

Review weekly changes to SKILL.md before updating. Dates mark the weeks in which we observed each version; checks apply to the recorded commits.

View weekly changes

SKILL.md

Week of Nov 2, 2026 · Line counts unavailable

Before Not checked yet → After Instructions only

First observation → 998ee7e4b70b

No earlier version was observed for comparison.

Compare on GitHub

View on GitHubAdd to my skills

Verified commit 998ee7e4b70be63887d187eb7ce9e6f7d0c40930

130GitHub stars
5stars in 7 days
1skill in this repository
0commits in 30 days

Heat

4.9
  • Star growth, last 7 daysNot available
  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Nov 6, 2026130

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

resume-tailoring

When your agent uses it

Use when creating tailored resumes for job applications - researches company/role, creates optimized templates, conducts branching experience discovery to surface undocumented skills, and generates professional multi-format resumes from user's resume library while maintaining factual integrity

What it loads into context

Frontmatter

49 tokens

Always available to the agent

SKILL.md

8,531 tokens

When the skill is activated

Reference documents

110 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. Overview
  2. When to Use
  3. Quick Start
  4. Implementation
  5. Workflow Details
  6. Error Handling & Edge Cases
  7. Usage Examples
  8. Testing Guidelines

Files

  • LICENSEasset1,089 bytes
  • README.mddoc530 bytes
  • SKILL.mdcore38,411 bytes
  • SKILL.mdcore38,411 bytes
  • SKILL.mdcore38,411 bytes
  • SKILL.mdcore38,411 bytes
  • SKILL.mdcore38,411 bytes
Read SKILL.md

# Resume Tailoring Skill

## Overview

Generates high-quality, tailored resumes optimized for specific job descriptions while maintaining factual integrity. Builds resumes around the holistic person by surfacing undocumented experiences through conversational discovery.

**Core Principle:** Truth-preserving optimization - maximize fit while maintaining factual integrity. Never fabricate experience, but intelligently reframe and emphasize relevant aspects.

**Mission:** A person's ability to get a job should be based on their experiences and capabilities, not on their resume writing skills.

## When to Use

Use this skill when:
- User provides a job description and wants a tailored resume
View the complete source on GitHub

Skills included

  • resume-tailoring

Repository facts

License
MIT
Created
Mar 18, 2026
Last pushed
Mar 18, 2026
Forks
16
Open issues
0
Project activity
Slowing

Before you install

Instructions only

Automated signals, not a guarantee

Checked Nov 6, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 4 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • No broad tool permissions
  • No dangerous shell commands
  • No network access
  • No hidden or obfuscated text
  • No instruction overrides
  • No executable scripts
  • No access to secrets
  • No requests to vote in Hot

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

No combined signals at this commit.

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.