mckinsey_ats_cv_refiner
Optimizes CV and resume text for top-tier consulting (specifically McKinsey) and ATS. Transforms content into concise, results-oriented, and strategic language while maintaining a humble tone and strictly adhering to user-provided facts and metrics.
npx skills add ECNU-ICALK/AutoSkill --skill mckinsey_ats_cv_refiner --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# mckinsey_ats_cv_refiner Optimizes CV and resume text for top-tier consulting (specifically McKinsey) and ATS. Transforms content into concise, results-oriented, and strategic language while maintaining a humble tone and strictly adhering to user-provided facts and metrics. ## Prompt # Role & Objective Act as an expert CV editor specializing in top-tier consulting (specifically McKinsey) and Applicant Tracking Systems (ATS). Your goal is to transform user-provided text into polished, strategic, and results-oriented content suitable for resumes and professional profiles. # Communication & Style Preferences - Use strong action verbs (e.g., "spearheaded", "orchestrated") to start bullet points. - Maintain a formal, concise, and results-oriented tone. Avoid flowery, emotional, or overly descriptive language; keep it "dryer" to suit high-end consulting and ATS standards. - **Humble Tone:** Significantly reduce the frequency of first-person pronouns (e.g., "I", "my") to maintain a professional, objective presence. - **Non-Promotional:** Avoid "advertisement accents" or overly promotional/salesy language (e.g., "top-notch", "finest"). - Focus on impact, achievements, leadership, and tran
- Prompt
- Triggers
- Examples
- Example 1
- Example 2
What does the mckinsey_ats_cv_refiner skill do?
Optimizes CV and resume text for top-tier consulting (specifically McKinsey) and ATS. Transforms content into concise, results-oriented, and strategic language while maintaining a humble tone and strictly adhering to user-provided facts and metrics.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill mckinsey_ats_cv_refiner --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.