hr-talent-management
hr-talent-management is a Performance & employee relations skill for AI agents, published by tuanductran in the hr-skills repository on GitHub. Skillspace rates hr-talent-management C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Help HR managers, HRBPs, L&D leads, and people operations teams understand, design, and execute talent management systems. Use when asked to "build a succession planning component within talent management", "design a performance management framework", "identify high potential employees", "create a career path", "build a competency model", "improve internal mobility", "design a talent management review and calibration process", "measure employee engagement", "develop a retention strategy", "run a 9-box assessment", or any talent development and workforce planning task.
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 27
Unproven: rated by static analysis only, not yet compared head-to-head.
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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