Cruncher Skill

Guides users through Crunch competition lifecycle: setup, quickstarter discovery, solution development, local testing, and submission.

Prerequisites

• Python 3.9+ with venv module (included in standard Python)
• pip for package installation

Package Installation

This skill installs Python packages from PyPI into isolated virtual environments:

Agent rules for package installation:

• Always use a virtual environment — never install into system Python
• Only install known packages listed above or referenced in competition docs (PACKAGES.md)
• Ask the user before installing any package not listed here
• All packages are from PyPI — no custom URLs, no --index-url overrides, no .whl files from unknown sources

Credentials

Submission Token (required for setup & submit)

• How to get: User logs into CrunchDAO Hub, navigates to the competition's submit page (/competitions/\x3Ccompetition>/submit), and copies their token
• How it's used: Passed once via --token \x3CTOKEN> during crunch setup
• Persistence: After setup, the CLI stores the token in the project's .crunch/ config directory. All subsequent commands (crunch test, crunch push, crunch download) authenticate automatically — no need to pass the token again
• If token expires: Run crunch update-token inside the project directory to refresh it

Agent rules for tokens:

• Always ask the user to provide the token — never assume, guess, or reuse tokens from other projects
• Never write tokens into source files, scripts, notebooks, or any committed file
• Never log or echo tokens in shell output (use --token \x3CTOKEN> placeholder in examples shown to user)
• Tokens are user-specific and project-scoped — each crunch setup call requires the user to supply one

GitHub API (optional, unauthenticated)

• Used only for browsing quickstarter listings via api.github.com (public repo, no auth needed)
• Rate-limited to 60 requests/hour per IP; sufficient for normal use

Network Access

Quick Setup

Each competition needs its own virtual environment (dependencies can conflict).

mkdir -p ~/.crunch/workspace/competitions/\x3Ccompetition>
cd ~/.crunch/workspace/competitions/\x3Ccompetition>
python -m venv .venv && source .venv/bin/activate 
pip install crunch-cli jupyter ipykernel --upgrade --quiet --progress-bar=off
python -m ipykernel install --user --name \x3Ccompetition> --display-name "Crunch - \x3Ccompetition>"

# Get token from: https://hub.crunchdao.com/competitions/\x3Ccompetition>/submit
crunch setup \x3Ccompetition> \x3Cproject-name> --token \x3CTOKEN>
cd \x3Ccompetition>-\x3Cproject-name>

For competition-specific packages and full examples, see references/competition-setup.md.

Core Workflow

1. Discover

crunch list                    # List competitions

2. Explain

Read the quickstarter code (main.py or notebook) and competition's SKILL.md/README.md. Provide walkthrough covering: Goal, Interface, Data flow, Approach, Scoring, Constraints, Limitations, Improvement ideas.

3. Propose Improvements

Analyze current approach, cross-reference competition docs (SKILL.md, LITERATURE.md, PACKAGES.md), generate concrete code suggestions:

• Model: mixture densities, NGBoost, quantile regression, ensembles
• Features: volatility regimes, cross-asset correlation, seasonality
• Architecture: online learning, Bayesian updating, horizon-specific models

4. Test

crunch test                    # Test solution locally

5. Submit

crunch test                    # Always test first
crunch push -m "Description"   # Submit

Phrase Mapping

Important Rules

• Entrypoint must be main.py (default for crunch push/crunch test)
• Model files go in resources/ directory
• Respect competition interface and constraints (time limits, output format)
• Ask before installing new packages

Reference

• CLI commands: references/cli-reference.md
• Setup examples: references/competition-setup.md