← Back to Skills Marketplace
仓配网络优化器
by
jinqianfei
· GitHub ↗
· v2.7.0
· MIT-0
77
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install warehouse-network-optimizer-skills
Description
基于整数规划（MILP）的仓配网络优化系统，支持时效计算（含等待时间）、中转链路、供应关系到区县等。
Usage Guidance
This package appears coherent and runs entirely on local inputs (Excel/JSON) using Python + PuLP/CBC. Before installing or running it: (1) review the included scripts (convert_data.py, run_optimization.py) if you have sensitive data in your spreadsheets, (2) run in a controlled environment (venv or sandbox) and install dependencies via pip, (3) be aware the package author/source is unknown (no homepage) — if provenance matters, validate or re-generate the data files yourself, and (4) large instances may incur heavy solver time/memory usage, so test with a small sample first.
Capability Analysis
Type: OpenClaw Skill
Name: warehouse-network-optimizer-skills
Version: 2.7.0
The skill bundle provides a legitimate tool for warehouse network optimization using Mixed-Integer Linear Programming (MILP). The Python scripts (convert_data.py and run_optimization.py) use standard data processing and optimization libraries (pandas, openpyxl, and PuLP) to transform Excel logistics data into JSON and solve for optimal warehouse placement. The code logic is transparent, well-documented, and strictly aligned with the stated purpose, with no evidence of data exfiltration, network calls, or malicious prompt injection.
Capability Assessment
Purpose & Capability
Name/description (MILP warehouse network optimizer) matches the included scripts (convert_data.py, run_optimization.py) and JSON data; required inputs are Excel/data files and the solver libraries named in SKILL.md, so requested capabilities are proportionate.
Instruction Scope
SKILL.md tells the agent to convert Excel → JSON and run the optimizer to produce an Excel report. The runtime instructions reference only the provided scripts and user data files; there are no instructions to read unrelated system files, access environment secrets, or post data externally.
Install Mechanism
No install spec is included (instruction-only). SKILL.md recommends installing standard Python packages (pulp, pandas, openpyxl) via pip — expected for this workload and not excessive. No downloads from untrusted URLs or archive extraction are present.
Credentials
The skill declares no required environment variables, credentials, or config paths and the code does not attempt to read environment secrets — access requested is minimal and appropriate for a local data-processing optimizer.
Persistence & Privilege
The skill is not always-enabled and does not modify other skills or global agent configuration. It runs locally and generates output files only, so its persistence/privilege footprint is minimal.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install warehouse-network-optimizer-skills - After installation, invoke the skill by name or use
/warehouse-network-optimizer-skills - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.7.0
v2.7: 参数引导流程，支持必选/禁止仓库约束
Metadata
Frequently Asked Questions
What is 仓配网络优化器?
基于整数规划（MILP）的仓配网络优化系统，支持时效计算（含等待时间）、中转链路、供应关系到区县等。 It is an AI Agent Skill for Claude Code / OpenClaw, with 77 downloads so far.
How do I install 仓配网络优化器?
Run "/install warehouse-network-optimizer-skills" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is 仓配网络优化器 free?
Yes, 仓配网络优化器 is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does 仓配网络优化器 support?
仓配网络优化器 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created 仓配网络优化器?
It is built and maintained by jinqianfei (@jinqianfei); the current version is v2.7.0.
More Skills