prompt-engineering-dspy
Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming
| Field | Value |
|---|---|
| Owner | davila7 |
| Curator | Thomas Cherickal |
| Source | davila7/claude-code-templates |
| Repo stars | 33,617 |
| License | MIT |
| Repo last push | 2026-11-14 |
Links
- Roles: ai-engineer
- Source repo: davila7/claude-code-templates
- Same repo: eval-genius, evaluation-bigcode-evaluation-harness, evaluation-lm-evaluation-harness, evaluation-nemo-evaluator, distributed-training-deepspeed, distributed-training-megatron-core, distributed-training-pytorch-fsdp, emerging-techniques-knowledge-distillation
- Registry seed skills for this role: ai-engineer seed skills