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OmidZamani AI Skills

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Explorez les skills IA publiés de OmidZamani et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

15

Étoiles des dépôts des skills indexés

670

Forks du dépôt

75

Moyenne des étoiles par skill indexé

45

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

15 skills

Explorer

GitHub

dspy-advanced-module-composition

OmidZamani

This skill should be used when the user asks to "compose DSPy modules", "use Ensemble optimizer", "combine multiple programs", "use dspy.MultiChainComparison", mentions "ensemble voting", "module composition",...

GitHub

dspy-custom-module-design

OmidZamani

This skill should be used when the user asks to "create custom DSPy module", "design a DSPy module", "extend dspy.Module", "build reusable DSPy component", mentions "custom module patterns", "module serializati...

GitHub

dspy-simba-optimizer

OmidZamani

This skill should be used when the user asks to "optimize with SIMBA", "use Bayesian optimization", "optimize agents with custom feedback", mentions "SIMBA optimizer", "mini-batch optimization", "statistical op...

GitHub

dspy-output-refinement-constraints

OmidZamani

This skill should be used when the user asks to "refine DSPy outputs", "enforce constraints", "use dspy.Refine", "select best output", "use dspy.BestOfN", mentions "output validation", "constraint checking", "m...

GitHub

dspy-react-agent-builder

OmidZamani

This skill should be used when the user asks to "create a ReAct agent", "build an agent with tools", "implement tool-calling agent", "use dspy.ReAct", mentions "agent with tools", "reasoning and acting", "multi...

GitHub

skill-perfection

OmidZamani

Use this skill when you need to QA audit and fix a plugin skill file. Provides a methodology for verifying skill content against official documentation, fixing issues in-place, and producing verification report...

GitHub

dspy-debugging-observability

OmidZamani

This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "pro...

GitHub

dspy-finetune-bootstrap

OmidZamani

This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions...

GitHub

dspy-evaluation-suite

OmidZamani

This skill should be used when the user asks to "evaluate a DSPy program", "test my DSPy module", "measure performance", "create evaluation metrics", "use answer_exact_match or SemanticF1", mentions "Evaluate c...

GitHub

dspy-gepa-reflective

OmidZamani

This skill should be used when the user asks to "optimize an agent with GEPA", "use reflective optimization", "optimize ReAct agents", "provide feedback metrics", mentions "GEPA optimizer", "LLM reflection", "e...

GitHub

dspy-haystack-integration

OmidZamani

This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combi...

GitHub

dspy-signature-designer

OmidZamani

This skill should be used when the user asks to "create a DSPy signature", "define inputs and outputs", "design a signature", "use InputField or OutputField", "add type hints to DSPy", mentions "signature class...

GitHub

dspy-bootstrap-fewshot

OmidZamani

This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "t...

GitHub

dspy-rag-pipeline

OmidZamani

This skill should be used when the user asks to "build a RAG pipeline", "create retrieval augmented generation", "use ColBERTv2 in DSPy", "set up a retriever in DSPy", mentions "RAG with DSPy", "context retriev...

GitHub

dspy-miprov2-optimizer

OmidZamani

This skill should be used when the user asks to "optimize a DSPy program", "use MIPROv2", "tune instructions and demos", "get best DSPy performance", "run Bayesian optimization", mentions "state-of-the-art DSPy...

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.