tailor-resume

Solid

Choose the best existing resume base/variant for a job, or create a new tailored variant when nothing fits.

AI & Automation 79 stars 19 forks Updated 6 days ago MIT

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Quality Score: 87/100

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100
Frontmatter 20%
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Documentation 15%
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Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Tailor Resume - Reuse or Create Choose or produce a resume for a specific job. You decide reuse vs create; the user does not pre-select. ## Setup Follow `../_shared/setup.md`. The profile response includes `resumes` (every base with `label`, `hasData`, `variantCount`, `isPrimary`). ## Step 1: Build the JD object Detect the argument shape: - Starts with `{` → parse as digest JSON. **No navigation, no snapshot.** - Starts with `http` → `browser_navigate`, then `browser_snapshot` the posting body (per `../_shared/browser-tips.md`) and build the digest (`../_shared/digest-schema.md`) from it. - Otherwise → pasted JD text; parse the same fields manually. From the digest (`title`, `requirements[]`, `responsibilities[]`, `skills[]`, `yearsExperience`, `descriptionExcerpt`), assemble: - `title`, `domain` (fintech/healthtech/devtools/…), `standouts` (clearance, on-call, on-site, …). - `roleFamily` ∈ `frontend | backend | fullstack | mobile | data | ml | devops | qa | other` - match `title` + `descriptionExcerpt` against: frontend (`frontend`, `ui`, `react`, `vue`, `angular`), backend (`backend`, `api`, `services`), fullstack (`full-stack`), mobile (`ios`, `android`, `react native`, `flutter`), data (`data engineer/scientist`, `analytics`, `etl`), ml (`ml`, `ai engineer`, `mlops`), devops (`devops`, `sre`, `platform`, `infrastructure`), qa (`qa`, `sdet`, `test engineer`). - `seniority` ∈ `junior | mid | senior | staff | lead` - from title (`junior`/`entry` → junior; `senior`/...

Details

Author
suxrobGM
Repository
suxrobGM/jobpilot
Created
6 months ago
Last Updated
6 days ago
Language
TypeScript
License
MIT

Integrates with

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