demand-forecast-explainer
demand-forecast-explainer is a Logistics & supply chain skill for AI agents, published by Amazon-Quick in the Amazon-Quick-official-catalog repository on GitHub. Skillspace rates demand-forecast-explainer B (81/100) and it passed the safety scan; the rating is based on static analysis only.
Translates statistical demand forecasts into plain-English explanations with confidence intervals, key drivers, and inventory action recommendations for VP/SVP of supply chain and their teams. Use when the user asks why a forecast changed, what drove variance, what confidence bands mean, or needs help interpreting ML forecast outputs. Trigger phrases: 'why did the forecast change', 'explain this forecast', 'what drove the variance', 'forecast for [SKU/category]', 'confidence interval', 'demand drivers'.
- 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. Generic demand forecast explanation for any supply chain team
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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