@lizhecome/dsh-prompt-optimizer
LLM-backed prompt optimization bundle for DeepSeek Harness
11 results
LLM-backed prompt optimization bundle for DeepSeek Harness
Bounded metric-driven autoresearch plugin for DeepSeek Harness
DeepSeek Harness dynamic context pruning plugin (model-driven context management)
DSH lightweight optimization plugin collection, maintained in one workspace and installed as one bundle.
Content-aware tool output compression for DeepSeek Harness.
Token-efficient tool-result pruning policy for DeepSeek Harness presets.
DSH plugin: model reasoning levels plus CLI request mimic, with a unified Daily Optimization settings section.
Direct-apply, privacy-aware prompt optimization for DeepSeek Harness.
Token optimizer for DeepSeek Harness — condense your context, keep the essence
性能优化:测量先行、瓶颈定位、复杂度分析、缓存/懒加载、资源释放。受 addyosmani/agent-skills(88k★ MIT)启发。
把技能当可训练参数:像训练神经网络一样训练 agent 技能(epochs/batchsize/learning rate/验证门禁,但不碰模型权重)——rollout→reflect→aggregate→select→update→evaluate 循环、候选编辑仅在严格改善 held-out 验证分时接受、文本学习率预算、零推理时模型调用、部署紧凑 best_skill.md。受 microsoft/SkillOpt(MIT)启发。