skill

kaggle-competition-skills

Agent skills for Kaggle competition operations via the CLI

Faycall1l/kaggle-competition-skillscommunitylistedunreviewed

Set up

Skills are installed by placing their folder where your agent loads skills.

Download ZIP from GitHub Open the repository

The download comes from github.com/Faycall1l/kaggle-competition-skills itself, not from our server, so what you get is exactly what its author published.

Install instructions come from the README

Skills do not use an MCP config. Follow the steps in the README below.

README

synced Oct 26, 2026

Kaggle Competition Skills

Agent skills for Kaggle competition operations via the CLI: download, push/monitor kernels, fetch logs/output, submit and poll — plus a modeling playbook and a learnings memory loop.

Skills

Skill	Purpose
`kaggle-cli-ops`	CLI operations: download, kernels, submit, troubleshooting, quota/auth
`kaggle-playbook`	Modeling judgment: validation design, submission acceptance criteria
`kaggle-learnings`	Memory loop: capture/recall/archive learnings

Install

Agent	Command
Claude Code	`/plugin marketplace add Faycall1l/kaggle-competition-skills` then `/plugin install kaggle-competition-skills`
Codex	`codex plugin marketplace add Faycall1l/kaggle-competition-skills`
OpenCode / Cursor / Gemini / Windsurf	`npx skills add Faycall1l/kaggle-competition-skills`
Any Agent Skills runtime	`cp -R skills/<skill-name> <your-skills-directory>/`

The npx skills CLI requires node.js 22.20 or newer. Each skill also installs standalone via directory copy (no build step, no registry account).

Prompts

Competition setup (any agent):

Set up the titanic competition with kaggle-cli-ops: run doctor.py, download
data with comp_init.py, and report workspace paths.

Push and monitor:

Push ./my-kernel with kernel_push.py, monitor to a terminal state, and fetch
logs on failure.

Pre-submit verification:

Verify this submission against kaggle-playbook acceptance criteria, then run
comp_submit.py preflight for <slug>.

Credentials

Set KAGGLE_API_TOKEN (KGAT token from kaggle.com/settings). Never commit credentials — see .gitignore. Run doctor.py to verify setup.

Layout

skills/kaggle-cli-ops/     # router + references + scripts
skills/kaggle-playbook/    # methodology router + references
skills/kaggle-learnings/   # memory router + kln.py
tests/                     # offline mocked suite (pytest)
evals/titanic_e2e/         # live transcripts (credential-gated)
examples/                  # tabular-baseline, code-competition