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Programming LLMs declaratively with DSPy v1.0.0

Use this resource to build modular language model pipelines and optimize their prompts

New

  • 515 downloads
  • 106 likes
  • 160 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install dspy-declarative-llm-programs-2

With no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.

First time: connect the CLI with

npx --yes palatekit@latest login

The agent guides you through installing DSPy, defining an input-output signature, creating a module and using it for question answering. It also presents the optimizers that improve prompts from your examples.

Mostly picked by

Updated November 2, 2026

Card for the “Programming LLMs declaratively with DSPy” skill

Details

Works in
Install guides
Generates with
Your agent's model
Licence
MIT

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What you get

  • SKILL.md: installation, signatures, modules and a first example
  • references/modules.md, optimizers.md and examples.md: modules, optimizers and examples

Good fit for

  • You want to replace hand-written prompts with a program
  • You build a modular RAG system to improve with data

Not for

    Tags

    • dspy
    • prompts
    • optimization
    • pipelines

    About

    You say

    “Create a DSPy signature to classify my support tickets and optimize it on my labeled examples.”

    Card for the “Programming LLMs declaratively with DSPy” skill

    Skill published by Orchestra Research under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Install the skill in your agent's skills folder
    2. Ask your agent to build modular language model pipelines and optimize their prompts
    3. Review and adjust the result

    Content preview

    Files

    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB
    • references/examples.md19.2 KB
    • references/modules.md12.5 KB
    • references/optimizers.md15.1 KB
    • SKILL.md15.5 KB

    Origin and licence

    Listed unmodified

    Author
    Orchestra Research
    Source
    github.com/orchestra-research/ai-research-skills/tree/773a52944ba4747a18bd4ae9ade53fff041adcbc/16-prompt-engineering/dspy
    Licence
    MIT

    Notice

    « dspy » (Orchestra Research, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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