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dojo-onboard

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Onboard your project into Dojo

Education & Research#code scaffolding#regression#dojo#ml research#experiment automation#tool verification#evaluation contract
AuthorGarsdal
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It streamlines onboarding an existing Python ML codebase into Dojo by turning your current data loading and evaluation logic into a frozen, verifiable research contract.

Core Features & Use Cases

  • Conversation-based scaffolding: Reads your repository to tailor setup and asks only targeted questions needed to write PROGRAM.md and SETUP.md.
  • Verified connector generation: Runs dojo domain setup to generate load_data.py and evaluate.py and verifies them against your actual data before freezing.
  • Safety through the freeze gate: Iterates on SETUP.md when verification fails, without bypassing contract verification.
  • Use case: Set up Dojo for a real regression pipeline where you already have data loaders and a metric, so the agent can run trustworthy experiments inside your evaluation contract.

Quick Start

Ask the AI to onboard your repo by running /dojo-onboard in Claude Code from your project directory.

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: dojo-onboard
Download link: https://github.com/Garsdal/Dojo/archive/main.zip#dojo-onboard

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