performance-reviews
performance-reviews is a Performance & employee relations skill for AI agents, published by manager-dot-dev in the manager-skills repository on GitHub. Skillspace rates performance-reviews C (74/100) and it passed the safety scan; the rating is based on static analysis only.
Helps diagnose underperformance, structure a performance case, decide whether to put someone on a PIP or let them go, and think through your own manager review. Use when the user says "perf review," "review cycle," "performance calibration," "write a review," "rating," "meets expectations," "performance improvement," "PIP," "promotion case," "end of year review," "mid-year review," "underperformer," "struggling employee," or "should I let them go." Do NOT use for delivering day-to-day feedback (use feedback) or for evaluating a new hire candidate (use hiring).
- Grade
- C
- Quality
- 74 / 100
- Safety
- Passed
- GitHub stars
- 97
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
- 99 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General engineering-manager performance review and PIP guidance
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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