Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · AI
Method Dev Agent
AI助手助力药品分析实验室高效管理色谱方法开发，支持实验记录、方法库、数据分析及AI优化建议。
skill openclawclawhub Free
AI助手助力药品分析实验室高效管理色谱方法开发，支持实验记录、方法库、数据分析及AI优化建议。
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- CLAWHUB_README.md, publish.sh, PUBLISH_CHECKLIST.md, PUBLISH_GUIDE.md, README.md, requirements.txt
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 0.1.2
Provenance
- Publisher
- teagec
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Method Dev Agent - 方法开发助手
专业技能: 药品分析实验室 | 色谱方法开发 | HPLC/UPLC/GC
🎯 解决的问题
药品分析实验室方法开发过程中的痛点： ❌ 试错成本高（数周甚至数月） ❌ 知识依赖个人，难以沉淀 ❌ 实验记录分散，追溯困难 ❌ 优化路径不清晰
💡 解决方案
AI驱动的方法开发助手Agent： 📝 智能实验记录 - 系统化记录每次实验参数和结果 🔍 方法检索 - 快速查找历史方法和实验记录 📊 趋势分析 - 可视化方法优化过程 💾 知识沉淀 - 结构化存储方法开发知识
1. 实验记录管理
完整的色谱条件记录（色谱柱、流动相、梯度、温度等） 样品信息和前处理方法 结果数据（保留时间、分离度、塔板数等） 观察记录和下一步计划
2. 方法库
保存成功的色谱方法 按化合物、基质、色谱柱类型分类 快速检索和复用
3. 数据分析
实验状态统计 成功评分趋势 方法优化可视化
4. AI推荐 (专业版)
基于历史数据的方法推荐 色谱条件优化建议 问题诊断和解决方案
🚀 快速开始
# 安装依赖 pip install streamlit pandas plotly # 运行应用 streamlit run app.py # 浏览器访问 http://localhost:8501
💰 定价
版本功能价格基础版实验记录、方法库、基础分析免费专业版+AI推荐、文件解析、高级分析0.03 ETH/月企业版+本地部署、定制开发、培训定制报价
🏥 适用场景
药品QC实验室方法开发 仿制药一致性评价 新药质量标准研究 稳定性试验方法优化
👨🔬 目标用户
药品分析研究员 QC方法开发科学家 实验室经理 CRO公司分析部门
📞 联系方式
作者: Teagee Li 领域: 药品分析实验室管理 邮箱: teagee@qq.com GitHub: https://github.com/teagec/t2 让方法开发更智能、更高效
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
4 Docs1 Scripts1 Files
- CLAWHUB_README.md
- PUBLISH_CHECKLIST.md
- PUBLISH_GUIDE.md
- README.md
- publish.sh
- requirements.txt