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ai-kickoff

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Scaffold a new AI feature powered by DSPy.

Software Engineering#frontend#backend#ai#scaffold#project-structure#dspy
Authorlebsral
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This workflow helps teams bootstrap a complete AI feature project using DSPy, ensuring a consistent structure from the start and preventing ad-hoc setups.

Core Features & Use Cases

  • Opinionated skeleton: provides a ready-to-fill project layout with standard files (main.py, program.py, metrics.py, evaluate.py, data.py, and requirements.txt).
  • Guided setup for DSPy workflows: templates for data loading, model definition, evaluation, and optional deployment scaffolds.
  • Use case: ideal when starting a new AI-powered feature such as classification, data extraction, or decision automation, ensuring a scalable foundation.

Quick Start

Run the kickoff flow to bootstrap a DSPy-based AI feature project from scratch.

Dependency Matrix

Required Modules

None required

Components

Standard package

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: ai-kickoff
Download link: https://github.com/lebsral/DSPy-Programming-not-prompting-LMs-skills/archive/main.zip#ai-kickoff

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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