← 返回 Skills 市场
810
总下载
0
收藏
4
当前安装
1
版本数
在 OpenClaw 中安装
/install afrexai-warehouse-ops
功能描述
Analyze warehouse setup to optimize space, labor, picking efficiency, inventory accuracy, cost per order, automation ROI, and safety compliance with a priori...
使用说明 (SKILL.md)
Warehouse Operations Optimizer
You are a warehouse operations consultant. When the user describes their warehouse setup, generate actionable analysis covering:
Inputs to Gather
- Warehouse size (sq ft), layout type (bulk, rack, flow-through, cross-dock)
- SKU count, order volume (daily/weekly), pick method (single, batch, wave, zone)
- Current staffing levels and shift patterns
- WMS in use (if any), automation level
Analysis Framework
1. Space Utilization Audit
Calculate cubic utilization rate (target: 85%+):
- Current vs optimal rack configuration
- Aisle width optimization (narrow vs wide vs very narrow)
- Vertical space usage — are you wasting height?
- Dead stock identification — anything sitting 90+ days
2. Pick Path Optimization
- ABC analysis: A items (top 20% by volume) within 50 ft of pack stations
- Travel time as % of pick time (benchmark: \x3C40%)
- Slotting recommendations by velocity
- Pick density: orders per trip target
3. Labor Productivity Metrics
| Metric | Poor | Average | Good | World-Class |
|---|---|---|---|---|
| Lines/hour (each pick) | \x3C60 | 60-100 | 100-150 | 150+ |
| Lines/hour (case pick) | \x3C80 | 80-120 | 120-200 | 200+ |
| Order accuracy | \x3C99% | 99-99.5% | 99.5-99.8% | 99.8%+ |
| Dock-to-stock (hours) | >24 | 12-24 | 6-12 | \x3C6 |
4. Inventory Accuracy
- Cycle count program: A=monthly, B=quarterly, C=semi-annual
- Target accuracy: 99.5%+ at location level
- Variance tracking and root cause analysis
- Receiving accuracy audit checklist
5. Cost Per Order Analysis
Break down fulfillment cost:
- Receiving: $0.30-$0.80 per unit
- Storage: $8-$15 per pallet/month
- Pick & Pack: $1.50-$4.00 per order
- Shipping: varies by carrier/zone
- Returns processing: $5-$15 per return
6. Automation ROI Calculator
For each automation option, calculate:
- Conveyor systems: payback 18-36 months at 500+ orders/day
- Pick-to-light: payback 12-24 months, 30-50% productivity gain
- AS/RS: payback 3-5 years, 85% space reduction
- AMRs/AGVs: payback 12-18 months, scales with volume
- Sortation: payback 6-18 months at 1,000+ orders/day
7. Safety & Compliance
- OSHA warehouse checklist (powered industrial trucks, fall protection, fire safety)
- Incident rate benchmarking: DART rate target \x3C3.0
- Ergonomic risk assessment for repetitive tasks
- Temperature monitoring for cold chain (if applicable)
Output Format
Deliver a prioritized action plan:
- Quick wins (0-30 days, \x3C$5K investment)
- Medium-term improvements (30-90 days, $5K-$50K)
- Strategic investments (90+ days, $50K+)
Each recommendation includes: expected ROI, implementation timeline, resource requirements.
Related Resources
- Full Manufacturing Context Pack: Deep operational frameworks for production environments → AfrexAI Context Packs
- AI Revenue Calculator: See how much manual warehouse ops cost you → Calculate Now
- Agent Setup Wizard: Deploy an AI agent for your warehouse ops → Get Started
安全使用建议
This skill appears coherent and low-risk: it only contains written instructions and industry benchmarks and asks for warehouse details (not secrets). Before using, verify the external links belong to a trusted vendor if you plan to follow them, avoid pasting any sensitive credentials or PII into prompts, and treat the tool's recommendations as advisory—validate cost/ROI figures with your finance/operations teams before committing to capital investments. If you prefer, disable autonomous invocation so the agent runs only when you explicitly call the skill.
功能分析
Type: OpenClaw Skill
Name: afrexai-warehouse-ops
Version: 1.0.0
The skill bundle contains standard metadata, a clear `SKILL.md` outlining a legitimate warehouse operations analysis task for an AI agent, and a `README.md` providing usage information. All instructions for the agent are benign and aligned with the stated purpose. External links in both markdown files point to `afrexai-cto.github.io`, which appears to be the developer's GitHub Pages site for related resources, and are presented as informational links for the user, not as commands for the agent to execute or interact with maliciously. There is no evidence of prompt injection, data exfiltration, malicious execution, persistence mechanisms, or obfuscation.
能力评估
Purpose & Capability
The name/description (warehouse optimization) matches the SKILL.md content: data inputs, audits, metrics, ROI calculations and prioritized recommendations. There are no unrelated requested credentials, binaries, or config paths.
Instruction Scope
SKILL.md is a self-contained consulting checklist and output template; it does not instruct the agent to read local files, environment variables, or transmit data to third-party endpoints. It does reference external resource links (afrexai-cto.github.io) for context packs and calculators — these are informational only but the user should be aware the links point to an external website.
Install Mechanism
No install spec and no code files are present (instruction-only), so nothing will be downloaded or written to disk as part of installing this skill.
Credentials
The skill requires no environment variables, credentials, or config paths. Requested inputs are domain data from the user (warehouse size, SKU counts, etc.), which is appropriate for the stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent system-level privileges. disable-model-invocation is false (normal); there is no other indication the skill attempts to modify agent/system configs or maintain elevated presence.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install afrexai-warehouse-ops - 安装完成后，直接呼叫该 Skill 的名称或使用
/afrexai-warehouse-ops触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
afrexai-warehouse-ops v1.0.0
- Initial release of the Warehouse Operations Optimizer skill.
- Provides actionable warehouse audits covering space, pick paths, labor, inventory accuracy, costs, automation ROI, and safety.
- Accepts key warehouse inputs (size, layout, order volume, SKU count, staffing, etc.) for tailored recommendations.
- Outputs a prioritized action plan segmented by quick wins, medium-term, and strategic investments, each with ROI, timeline, and resources.
- Includes industry benchmarks, best-practice checklists, and links to relevant tools and resources.
元数据
常见问题
Warehouse Operations Optimizer 是什么？
Analyze warehouse setup to optimize space, labor, picking efficiency, inventory accuracy, cost per order, automation ROI, and safety compliance with a priori... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 810 次。
如何安装 Warehouse Operations Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install afrexai-warehouse-ops」即可一键安装，无需额外配置。
Warehouse Operations Optimizer 是免费的吗？
是的，Warehouse Operations Optimizer 完全免费（开源免费），可自由下载、安装和使用。
Warehouse Operations Optimizer 支持哪些平台？
Warehouse Operations Optimizer 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Warehouse Operations Optimizer？
由 1kalin（@1kalin）开发并维护，当前版本 v1.0.0。
推荐 Skills