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Deprecated alias — use autoresearch skill with profile ar-tide-overfit.
Installer avec Codex ou Claude Copiez ce prompt, collez-le dans Codex, Claude ou un autre assistant, puis laissez-le vérifier la page du skill et l'installer pour vous.
Basé sur la classification professionnelle SOC
Runs StepCOVNet GPU training and MERT extraction on Windows via WSL with TensorFlow CUDA libraries. Use for train_onset, overfit scripts, extract_mert_features with cuda, or when TensorFlow sees zero GPUs in WSL.
One-prompt agent autoresearch loop for StepCOVNet: goal + time budget → orient, hypothesize, run, log, repeat until success or deadline. Use when the user says "run autoresearch", gives a research goal with a budget, or names a profile (e.g. ar-tide-overfit). Not for unattended Python planners (--hours / lattice).
Starts a research session and logs EXP and NOTE entries with timestamps. Use when beginning research work, logging experiments, or writing discussion notes. Promote findings to PAPER_OUTLINE only when drafting the paper.
Audit and sync agent brain — read all rules from disk, reconcile skills/catalogs/routing. Triggers on refresh agent brain, refresh all rules, audit rules, or after steering promotion. Read-only audit script; agent writes doc updates.
Triggers on process mistakes and steering corrections; run steering-correction-promotion for artifact choice, context optimization, and JRN receipt. Journal alone is incomplete.
On user steering corrections or remember-this, pick the smallest durable artifact (skill section, scoped rule, or rare always-apply rule), slim AGENTS.md, optimize agent-brain context, then prepend JRN. Use instead of creating new alwaysApply rules by default.
| name | ar-tide-autoresearch |
| description | Deprecated alias — use autoresearch skill with profile ar-tide-overfit. |
| disable-model-invocation | true |
autoresearchThis path is kept for old links. Open ../autoresearch/SKILL.md with profile ar-tide-overfit.
One-prompt example:
Run autoresearch.
Profile: ar-tide-overfit
Goal: scratch teacher 634/634 then free-run 634/634 on tide @ 20 ms.
Budget: 7 hours.
Go — do not ask me between runs.