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在 OpenClaw 中安装
/install warehouse-flow-optimizer
功能描述
Turn warehouse process notes, bottleneck observations, labor constraints, slotting issues, and service targets into a practical flow optimization brief with...
安全使用建议
This skill appears coherent and low-risk: it only analyzes user-provided notes and returns a markdown brief. Two practical cautions: (1) the skill's source and homepage are unknown — if you need an auditable third-party origin or support, prefer a skill with a verified publisher; (2) although the skill does not request credentials or network access, it can be invoked autonomously by agents by default — if you want to restrict autonomous use, disable model invocation for this skill in your agent settings. If you need tighter assurance, review the provided handler.py yourself or run the test file locally before installing.
功能分析
Type: OpenClaw Skill
Name: warehouse-flow-optimizer
Version: 1.0.0
The warehouse-flow-optimizer skill is a heuristic-based tool designed to generate operational advice from text notes. The code in handler.py uses simple keyword matching to categorize inputs and returns static markdown templates; it contains no network requests, file system access, or execution of untrusted code. The SKILL.md instructions are well-aligned with the code's functionality and include explicit safety guardrails against making automated decisions.
能力评估
Purpose & Capability
The name/description promise (heuristic warehouse flow briefs) matches the implementation: text normalization, keyword scoring, and markdown rendering. Nothing in the files attempts to access cloud services, WMS, or unrelated subsystems.
Instruction Scope
SKILL.md explicitly states it must not connect to live WMS/OMS/labor telemetry and the handler only processes provided text/dictionaries. The instructions do not ask the agent to read system files, environment variables, or send data externally.
Install Mechanism
There is no install spec (instruction-only). Two local Python files are included but there is no downloading or extraction from external URLs and no packages or binaries required.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not read os.environ or other credentials. The requested access is proportionate to the function.
Persistence & Privilege
always is false and the skill is user-invocable. It does not modify agent/system configs or request permanent presence. disable-model-invocation is default (false) which is normal for skills.
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 warehouse-flow-optimizer - 安装完成后，直接呼叫该 Skill 的名称或使用
/warehouse-flow-optimizer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
- Initial release of Warehouse Flow Optimizer.
- Transforms warehouse pain points, process notes, and constraints into a structured flow optimization brief.
- Provides bottleneck hypotheses, lists quick wins, suggests pilot ideas, and outlines operating guardrails.
- Does not require or connect to live WMS, OMS, or labor systems—works with user-provided observations.
- Returns practical, markdown-formatted briefs suitable for ecommerce ops, 3PL managers, and consultants.
元数据
常见问题
Warehouse Flow Optimizer 是什么？
Turn warehouse process notes, bottleneck observations, labor constraints, slotting issues, and service targets into a practical flow optimization brief with... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 88 次。
如何安装 Warehouse Flow Optimizer？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install warehouse-flow-optimizer」即可一键安装，无需额外配置。
Warehouse Flow Optimizer 是免费的吗？
是的，Warehouse Flow Optimizer 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Warehouse Flow Optimizer 支持哪些平台？
Warehouse Flow 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 Flow Optimizer？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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