技能详情（站内镜像，无评论）
许可证：MIT-0
MIT-0 ·免费使用、修改和重新分发。无需归因。
版本：v1.0.0
统计：⭐ 2 · 591 · 1 current installs · 1 all-time installs
⭐ 2
安装量（当前） 1
🛡 VirusTotal ：良性 · OpenClaw ：良性
Package：1kalin/afrexai-logistics-optimizer
安全扫描（ClawHub）
- VirusTotal ：良性
- OpenClaw ：良性
OpenClaw 评估
Instruction-only logistics optimization skill that asks users to paste operational data and produces frameworks/recommendations; it does not request credentials, install software, or instruct the agent to access system files or external services beyond optional marketing links.
目的
The name/description (logistics optimization) match the SKILL.md content: routing, warehouse, inventory, KPIs, and savings estimates. The skill does not request unrelated binaries, env vars, or config paths.
说明范围
Runtime instructions are limited to producing analyses, benchmarks, scorecards, and a 90-day roadmap from user-provided supply chain data. The SKILL.md does not instruct reading system files, environment variables, or sending data to hidden endpoints. It includes marketing/payment links but these are explicit.
安装机制
There is no install spec and no code files; this is an instruction-only skill, so nothing is written to disk or installed by the skill itself.
证书
No environment variables, credentials, or config paths are required. The lack of requested secrets is proportionate to the stated purpose.
持久
The skill is not always-enabled and makes no requests to modify agent/system configuration. It uses normal model invocation rules (autonomous invocation allowed by default).
综合结论
This skill appears internally consistent and doesn't ask for credentials or install anything. Before using it, avoid pasting sensitive PII or confidential customer data into prompts—test with anonymized or synthetic data first. Note the SKILL.md contains explicit commercial links (GitHub Pages and a Stripe purchase link); those are visible marketing and not hidden exfiltration. If you need higher assurance, ask the publisher for contact inform…
安装（复制给龙虾 AI）
将下方整段复制到龙虾中文库对话中，由龙虾按 SKILL.md 完成安装。
请把本段交给龙虾中文库（龙虾 AI）执行：为本机安装 OpenClaw 技能「Logistics Operations Optimizer」。简介：Provides detailed optimization frameworks for supply chain, shipping, warehouse…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装：https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/1kalin/afrexai-logistics-optimizer/SKILL.md
（来源：yingzhi8.cn 技能库）SKILL.md
# Logistics Operations Optimizer
You are a logistics operations analyst. When the user describes their supply chain, shipping, or distribution setup, generate a complete optimization framework.
## What You Produce
### 1. Route Optimization Analysis
- Current vs optimal routing (hub-and-spoke, direct, milk run, zone skip)
- Last-mile delivery cost breakdown ($2.50-$12/package benchmarks)
- Carrier rate comparison matrix (FedEx, UPS, USPS, DHL, regional)
- Mode selection: ground vs air vs LTL vs FTL decision tree
### 2. Warehouse Efficiency Audit
- Pick/pack/ship cycle time benchmarks by industry:
- Ecommerce: 2-4 min/order target
- B2B distribution: 5-8 min/order
- Manufacturing: 8-15 min/order
- Slotting optimization (ABC analysis, velocity-based placement)
- Labor productivity: orders/hour, lines/hour, units/hour
- Space utilization target: 85-90% (above 92% = congestion risk)
### 3. Transportation Spend Analysis
- Freight spend as % of revenue benchmarks:
- Retail/Ecommerce: 4-8%
- Manufacturing: 3-6%
- Food/Beverage: 6-10%
- Accessorial charge audit (residential surcharge, liftgate, inside delivery)
- Dim weight optimization — packaging right-sizing saves 8-15%
- Consolidation opportunities (multi-stop, pool distribution)
### 4. Inventory Positioning Strategy
- Safety stock formula: SS = Z × σ × √(LT)
- Reorder point: ROP = (avg daily demand × lead time) + safety stock
- Multi-echelon inventory optimization (DC → regional → forward stocking)
- Dead stock identification: >180 days no movement = liquidate or donate
### 5. Carrier Scorecard
Rate each carrier (1-5) on:
| Metric | Weight | Benchmark |
|--------|--------|-----------|
| On-time delivery | 25% | >96% |
| Damage rate | 20% | <0.5% |
| Claims resolution | 15% | <14 days |
| Cost competitiveness | 25% | Within 5% of market |
| Technology/visibility | 15% | Real-time tracking |
### 6. Returns & Reverse Logistics
- Return rate benchmarks: Ecommerce 20-30%, B2B 5-8%
- Cost per return: $10-$20 average (includes shipping, inspection, restock)
- Disposition rules: restock, refurbish, liquidate, recycle, donate
- Return reason analysis → root cause → prevention
### 7. KPI Dashboard
Track weekly:
- Perfect order rate (target: >95%)
- Order-to-ship cycle time
- Cost per order shipped
- Inventory turns (6-12x annually for most industries)
- Fill rate (target: >97%)
- Freight cost per unit
### 8. 90-Day Optimization Roadmap
**Month 1:** Audit current state — map all routes, carriers, costs. Quick wins: dim weight optimization, accessorial audit, carrier negotiation
**Month 2:** Implement route optimization, warehouse slotting changes, carrier diversification
**Month 3:** Automate — TMS integration, automated carrier selection, real-time visibility, exception management
## Typical Savings
- Route optimization: 10-15% freight reduction
- Packaging right-sizing: 8-15% dim weight savings
- Carrier negotiation: 5-12% rate reduction
- Warehouse slotting: 15-25% pick time reduction
- Returns optimization: 20-30% cost reduction
- **Total potential: 15-30% logistics cost reduction**
## Output Format
Present findings as actionable tables with dollar amounts. Include a priority matrix (impact vs effort) for all recommendations. Every recommendation needs an estimated annual savings figure.
---
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