dspy-skills
Build, optimize, evaluate, and deploy DSPy language model programs
All Skills in This Repository (8)
Pure Emerald Level Indicatorsdspy-finetune-bootstrap
Fine-tune a DSPy program into deployable model weights via BootstrapFinetune.
dspy-miprov2-optimizer
Jointly tune DSPy instructions and demonstrations via Bayesian optimization.
dspy-signature-designer
Design type-safe DSPy signatures with InputField, OutputField, and Python typing.
dspy-evaluation-suite
Evaluate DSPy programs with custom metrics and parallel execution.
dspy-bootstrap-fewshot
Generate and select optimal few-shot demonstrations for DSPy programs.
dspy-rag-pipeline
Build and optimize RAG pipelines with ColBERTv2 in DSPy.
dspy-gepa-reflective
Optimize DSPy agentic systems via GEPA reflective evolutionary search.
dspy-haystack-integration
Optimize Haystack pipeline prompts with DSPy and custom metrics.
Frequently Asked Questions
FAQPage SchemaHow to install dspy-skills?▼
Run `npx skills add OmidZamani/dspy-skills --all -g -y` in your terminal to install all 22 DSPy skills globally.
Which DSPy optimizer should I use?▼
The dspy-optimizer-selection skill matches your data size and budget to the right optimizer, from BootstrapFewShot for small datasets to MIPROv2 or GEPA for maximum performance.
Can I build RAG pipelines with these skills?▼
Yes. Dedicated skills cover RAG pipelines, embedding retrieval with FAISS, multi-hop retrieval, and Haystack integration with optimization.
Does dspy-skills work with Claude Code?▼
Yes. It is packaged as a Claude Code plugin following the standard SKILL.md format, so each skill loads automatically when relevant.
Can I deploy DSPy programs to production?▼
Yes. Skills cover cache hardening, save/load patterns, usage tracking, async execution, streaming, and MLflow observability for production deployments.
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