hr-job-architecture
hr-job-architecture is a Coaching, career development & culture skill for AI agents, published by tuanductran in the hr-skills repository on GitHub. Skillspace rates hr-job-architecture C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Help HR business partners, compensation specialists, and total rewards leaders understand, design, and implement job architecture frameworks including job families, career levels, leveling criteria, and career pathing structures. Use when asked to "build a job leveling framework", "design a career ladder", "create job families", "define leveling criteria", "audit our job titles", "build a career path", "standardize roles across teams", "design a grade structure", "benchmark roles against the market", or any job architecture, career leveling, and role standardization task.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 27
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 100 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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