dsh-skill-optimization
Skill Optimization
Treat skills as trainable parameters: train agent skills like neural networks (epochs/batchsize/learning rate/validation gates, without modifying model weights)—a rollout→reflect→aggregate→select→update→evaluate loop; accept candidate edits only when they strictly improve the held-out validation sco
The plugin will be installed here. Keep web if you are unsure.
npx -y @deepseek-ai/dsh plugin --profile web add github:satan9394/dsh-skill-optimization#eb41d9f3403ac48c0ebbbb5389ac11e8dd6ff2c0Description
Treat skills as trainable parameters: train agent skills like neural networks (epochs/batchsize/learning rate/validation gates, without modifying model weights)—a rollout→reflect→aggregate→select→update→evaluate loop; accept candidate edits only when they strictly improve the held-out validation score; text learning-rate budget; zero inference-time model calls; deploy a compact best_skill.md. Inspired by microsoft/SkillOpt (MIT).
Compatibility and provenance
Skill Optimization is published as dsh-skill-optimization and currently resolves to version 0.1.0. The Hub verifies its manifest and preserves the exact installation source for reproducible installs.
- DSH compatibility
- *
- Runtime surfaces
- any
- Release source
- github
- Registry updated