dspy-optimization-not-improving
关于
This skill provides solutions for DSPy optimization issues like poor performance, slow compilation, and memory constraints. It offers code examples for adjusting optimizer settings, using different models for compilation vs deployment, and batch processing. Use it when DSPy optimizations aren't improving results or encounter resource limitations during training.
快速安装
Claude Code
推荐npx skills add vamseeachanta/workspace-hub -a claude-code/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/dspy-optimization-not-improving在 Claude Code 中复制并粘贴此命令以安装该技能
GitHub 仓库
Frequently asked questions
What is the dspy-optimization-not-improving skill?
dspy-optimization-not-improving is a Claude Skill by vamseeachanta. Skills package instructions and resources that Claude loads on demand, so Claude can perform dspy-optimization-not-improving-related tasks without extra prompting.
How do I install dspy-optimization-not-improving?
Use the install commands on this page: add dspy-optimization-not-improving to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.
What category does dspy-optimization-not-improving belong to?
dspy-optimization-not-improving is in the ai-prompting category, tagged general.
Is dspy-optimization-not-improving free to use?
Yes. dspy-optimization-not-improving is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.
相关推荐技能
该Skill是Agenta平台的子模块，用于AI提示词的版本控制与管理。开发者可通过Python装饰器创建版本化提示模板，支持参数化提示、实验追踪和A/B测试。适用于需要迭代优化LLM提示词、管理不同版本提示并评估其性能的AI应用开发场景。
该Skill为开发者提供了AI提示词版本管理的最佳实践方案，特别适用于需要迭代优化提示词模板的团队协作场景。它通过语义化版本控制和结构化元数据管理，帮助开发者追踪提示词的变更历史、测试结果和性能表现。核心功能包括版本命名规范、变更日志记录以及可追溯的提示词生命周期管理。
Agenta是一个用于LLM提示词管理和评估的自托管平台。它允许开发者对提示词进行版本控制、运行A/B测试、通过指标评估性能，并安全部署最佳版本。该技能特别适合需要系统化优化和监控LLM提示词的开发团队，提供了从实验到生产的完整工作流。
pandasai让开发者能够用自然语言直接查询和分析pandas数据框，无需编写复杂代码。它支持图表生成、数据转换解释和多表关联分析，并能灵活对接多种主流LLM后端。这个工具特别适合快速构建交互式数据探索界面或简化日常的数据分析工作流程。