ev-fleet-planning
ev-fleet-planning is a Logistics & supply chain skill for AI agents, published by Amazon-Quick in the Amazon-Quick-official-catalog repository on GitHub. Skillspace rates ev-fleet-planning B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Produce electrically feasible, financially justified electric vehicle (EV) fleet electrification plans grounded in duty-cycle, site electrical, and tariff data. Use when asked to 'plan fleet electrification', 'size EV chargers', 'model fleet charging load', 'assess site electrical capacity for EV charging', 'compare EV vs internal combustion total cost of ownership', 'optimize managed charging', 'assess grid impact of fleet charging', or build a phased fleet transition plan.
- Grade
- B
- Quality
- 81 / 100
- Safety
- Passed
- GitHub stars
- 45
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
- Packaged: licensed, with a version or references
- Security scan
- No issues found
- License
- MIT-0
- Adoption
- Adopted by 0 other repositories, in 0 collections
- Scope
- Portable: works in any project. General EV fleet electrification planning method for any organisation
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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