crunch-compete

Use when working with Crunch competitions - setting up workspaces, exploring quickstarters, testing solutions locally, or submitting entries.

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Install skill "crunch-compete" with this command: npx skills add philippwassibauer/crunch-compete

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:

PackageSourcePurpose
crunch-cliPyPICrunchDAO competition CLI (setup, test, submit)
jupyterPyPINotebook support (optional)
ipykernelPyPIJupyter kernel registration (optional)
Competition SDKs (e.g. crunch-synth, birdgame)PyPICompetition-specific libraries (varies)

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/<competition>/submit), and copies their token
  • How it's used: Passed once via --token <TOKEN> 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 <TOKEN> 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

OperationRequires networkEndpoint
crunch setupYeshub.crunchdao.com
crunch pushYeshub.crunchdao.com
crunch downloadYeshub.crunchdao.com
crunch testNoLocal only
crunch listYeshub.crunchdao.com
pip installYespypi.org
Quickstarter browsingYesapi.github.com

Quick Setup

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

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 --progress-bar=off
python -m ipykernel install --user --name <competition> --display-name "Crunch - <competition>"

# Get token from: https://hub.crunchdao.com/competitions/<competition>/submit
crunch setup <competition> <project-name> --token <TOKEN>
cd <competition>-<project-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

User saysAction
what competitions are availablecrunch list
show quickstarters for <name>Fetch from GitHub API
set up <competition>Full workspace setup
download the datacrunch download
get the <name> quickstartercrunch quickstarter --name
explain this quickstarterStructured code walkthrough
propose improvementsAnalyze and suggest code improvements
test my solutioncrunch test
compare with baselineRun both, side-by-side results
submit my solutioncrunch push

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

Source Transparency

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