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cayley-puzzles
cayley-puzzles contient 10 skills collectées depuis Erlemar, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use this skill for any task in the cayley IHES Picture Cube project — training, solving, evaluation, ensembling, submission. Covers the full ML+search pipeline.
Strat-5 acceptance gate for a megaminx V model. Runs 51-pid stratified eval at beam 65k, compares to m05 baseline (50/51 / mean 89.4), reports pass/fail.
Run the top-N long-pid sym-ensemble rescue + merge cycle on the current best megaminx submission.
One-shot status across GCP solves, Kaggle kernels, and local runs for the megaminx competition.
Verify a megaminx submission CSV, submit to Kaggle, and update HANDOFF / SUBMISSION_JOURNEY / to_do_shortlist with the new score.
Pull the latest cayleypy-tpu-beam-smoke kernel output, aggregate per-rank JSONs, merge with current best, verify, and prep for submission.
Combine candidate submissions, post-process, verify, and submit to Kaggle.
Verify an already-built submission CSV then submit to Kaggle.
Provision a GCP TPU-Builders v6e flex-start VM, set it up (mount/create data disk, install jax[tpu]+torch, pull megaminx beam artifacts from GCS, verify device count), and run the SPMD beam. Use when resuming the megaminx v6e beam work (e.g. after the 8-chip backend bug is fixed) or spinning up any ct6e flex-start VM. Encodes the flex-start status/fault/stockout handling, the Windows plink-noise filter, and the diagnostics-first discipline learned 2026-06.
Use this skill for any task in the cayley IHES Picture Cube project — training, solving, evaluation, ensembling, submission. Covers the full ML+search pipeline.