Skill-Details
tailor-resume
Directly tailors a resume for a job posting.
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SKILL.md
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---
name: tailor-resume
description: Tailor your resume for a specific job posting
argument-hint: "job URL"
---
# Resume Tailoring Skill
> **Priority hierarchy**: See `shared/references/priority-hierarchy.md` for conflict resolution.
Create compelling, tailored resumes that make it obvious you're the right candidate for a specific job.
## Quick Start
- `/proficiently:tailor-resume` - Start the flow (will ask for a job URL)
- `/proficiently:tailor-resume https://...` - Tailor resume for a specific job posting
## File Structure
```
scripts/
tailor-resume.md # Resume tailoring subagent prompt
```
The profile template is at `shared/templates/profile.md`.
## Data Directory
Resolve the data directory using `shared/references/data-directory.md`.
---
## Workflow
### Step 0: Check Prerequisites
Resolve the data directory, then check prerequisites per `shared/references/prerequisites.md`. Resume is required; profile is strongly recommended. If the user proceeds without a profile, set a flag to present all assumptions for verification (see Step 3a below).
If `$ARGUMENTS` is a URL, continue to Step 1.
Otherwise, ask for a job URL.
### Step 1: Get Job Details
Accept a job URL from the user (from `$ARGUMENTS` or by asking).
Use Claude in Chrome MCP tools to fetch the job posting per `shared/references/browser-setup.md`.
Parse and extract:
- **Job title** and level (IC vs. manager, seniority)
- **Company** name and what they do
- **Responsibilities** - what the job actually involves day-to-day
- **Requirements** - must-have qualifications
- **Nice-to-haves** - preferred qualifications
- **Keywords** - industry terms, tools, methodologies mentioned
- **Team context** - who they report to, team size, cross-functional partners
- **Company stage/size** indicators
**Create a job folder** at `DATA_DIR/jobs/[company-slug]-[date]/` and save the parsed job posting to `posting.md`.
If the page can't be loaded or parsed, ask the user to paste the job description directly.
### Step 2: Analyze Match
Before writing, map the candidate's experience to the job:
1. **Level match**: Confirm the candidate's experience level matches the role. A VP-level candidate applying for a Director role should lean on strategic impact. A Director applying for VP should emphasize scope and leadership growth.
2. **Requirement mapping**: For each job requirement, identify the strongest evidence from the work history profile:
- Direct experience ("Led SEO strategy" → job asks for SEO experience)
- Analogous experience ("Scaled marketplace from 1M to 10M users" → job asks for growth experience)
- Transferable skills ("Managed 30-person team" → job asks for leadership)
3. **Gap identification**: Note any requirements where the candidate has no clear match. These should NOT be fabricated - instead, find adjacent experience that demonstrates capability.
4. **Keyword alignment**: Identify the job posting's language and terminology to mirror in the resume.
5. **Compelling narrative**: Determine the 2-3 sentence story of why this person is the obvious choice. What's the throughline?
### Step 3: Generate Tailored Resume
Create the tailored resume following these principles:
**Structure:**
- **Header**: Name, contact info, LinkedIn (same as original)
- **Summary/Profile**: 2-3 sentences positioning the candidate specifically for THIS role. Not generic - reference the company and role context directly.
- **Experience**: All roles from the resume, but with bullet points rewritten, reordered, and selectively emphasized
- **Skills**: Reorganized to lead with what the job asks for
- **Education**: Same as original
**Bullet point principles:**
- Lead each role with the bullets most relevant to the target job
- Rewrite bullets to mirror the job posting's language where authentic
- Include metrics and quantified impact (from work history profile)
- Remove or de-emphasize bullets that aren't relevant to this specific role
- Add bullets from the wVollständige Quelle auf GitHub lesen (öffnet externe Seite)