用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/vamseeachanta/workspace-hub --skill dspy-optimization-not-improving命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
正在显示 SKILL.md
基于 SOC 职业分类
| name | dspy-optimization-not-improving |
| description | Sub-skill of dspy: Optimization Not Improving (+2). |
| version | 1.0.0 |
| category | ai-prompting |
| type | reference |
| scripts_exempt | true |
# Increase number of training examples
# Ensure diverse, high-quality examples
# Try different optimizer settings
optimizer = BootstrapFewShotWithRandomSearch(
metric=metric,
max_bootstrapped_demos=8, # Increase
num_candidate_programs=20, # More search
num_threads=8
)
# Use faster model for compilation
compile_lm = dspy.OpenAI(model="gpt-4.1-mini")
deploy_lm = dspy.OpenAI(model="gpt-4")
with dspy.settings.context(lm=compile_lm):
optimized = optimizer.compile(module, trainset=data)
# Deploy with stronger model
dspy.settings.configure(lm=deploy_lm)
# Process in batches
batch_size = 10
for i in range(0, len(trainset), batch_size):
batch = trainset[i:i+batch_size]
process_batch(batch)