A specialized tool for managing the entire lifecycle of CrunchDAO data science competitions, from workspace setup to final submission.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install crunch-compete
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install crunch-compete using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cruncher Competition Manager?
The Cruncher skill provides a seamless interface for developers and data scientists participating in CrunchDAO competitions. It streamlines the process of exploring available contests, setting up isolated Python environments, and managing competition-specific SDKs. By integrating this Openclaw Skills extension into your workflow, you can focus on building high-performance models rather than wrestling with environment configurations or manual submission steps.
This skill ensures that every project is properly scoped within its own virtual environment, maintaining clean dependencies for various competition types like crunch-synth or birdgame. Whether you are browsing quickstarters via GitHub or pushing your final model to the CrunchDAO Hub, this tool automates the heavy lifting of competition management while adhering to the technical standards of the Openclaw Skills ecosystem.
Cruncher Competition Manager Use Cases
- Setting up a dedicated workspace for a new CrunchDAO competition.
- Discovering and downloading competition quickstarters and baseline solutions.
- Testing data science models locally to ensure compliance with competition constraints.
- Submitting final solutions and pushing code to the CrunchDAO Hub securely.
- Analyzing competition codebases and receiving automated improvement suggestions.
How Cruncher Competition Manager Works
- Discover available competitions by listing active contests directly from the Hub using Openclaw Skills commands.
- Initialize a local workspace with a virtual environment and required CLI tools.
- Authenticate using a project-specific submission token retrieved from the CrunchDAO dashboard.
- Develop and refine solutions using provided quickstarters or custom logic.
- Execute local tests to validate model performance and interface requirements without needing network access.
- Submit the final solution using secure push commands for leaderboard evaluation.
Cruncher Competition Manager Setup
To begin using this skill within the Openclaw Skills framework, start by creating a directory for your competition and setting up a virtual environment. This ensures a clean environment for your dependencies:
mkdir -p ~/.crunch/workspace/competitions/<competition>
cd ~/.crunch/workspace/competitions/<competition>
python -m venv .venv && source .venv/bin/activate
pip install crunch-cli jupyter ipykernel --upgrade --quiet
Next, register your Jupyter kernel and initialize your project using your CrunchDAO submission token:
python -m ipykernel install --user --name <competition> --display-name "Crunch - <competition>"
crunch setup <competition> <project-name> --token <YOUR_TOKEN>
Cruncher Competition Manager Data Schema & Taxonomy
The skill organizes data within a structured project directory to ensure compatibility with the Openclaw Skills standard. All core configurations are stored locally to maintain persistence across sessions.
| File/Folder | Purpose |
|---|---|
.crunch/ |
Local configuration and encrypted submission token storage. |
main.py |
The mandatory entrypoint script for all competition submissions. |
resources/ |
Dedicated directory for storing model weights, pickles, and static assets. |
.venv/ |
Isolated Python environment containing competition-specific SDKs. |
data/ |
Local cache for competition datasets downloaded via the CLI. |
Cruncher Competition Manager Advanced Features
- Automated code walkthroughs and logic explanation for complex competition quickstarters.
- Intelligent model improvement suggestions including ensemble methods, feature engineering, and volatility regimes.
- Support for Jupyter kernel registration to enable seamless notebook-based experimentation.
- Side-by-side performance comparisons between custom solutions and baseline models.
- Integrated token management with automated credential persistence in the .crunch directory.
SKILL.md
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