ees-optimizer
Skill1 starsChanged 7 months agoNo licenceView on GitHub
储能配置优化系统的一键部署与启动工具。当用户安装此技能后,立即自动执行部署流程:克隆代码、安装 Python 依赖、配置 HiGHS 求解器、启动 Streamlit Web 界面。适用于需要进行储能经济性分析、功率-容量最优配置搜索、电力市场电价套利仿真的场景。触发关键词:储能优化、储能配置、电力储能、储能经济性、EES、弃电率、IRR、NPV。此技能为主动式工具——安装后无需等待用户触发,直接开始部署。
- Installs packages
In this repository13 other files it gives its agents.
- allenSkill
- alpha-research-helperSkill
- browser-useSkill
- crossaxis-researchSkill
- deep-learning-tuningSkill
- frontend-designSkill
- github-cliSkill
- karpathy-guidelinesSkill
- last30daysSkill
- llm-wiki-initSkill
- ma-huateng-perspectiveSkill
- westock-dataSkill
- wulab-router-impersonator-macSkill
The file
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

