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.
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).
Diagnoses onset event F1, train/eval matching mismatches, confidence collapse, and threshold effects. Use when F1 is zero or low, conv1d collapse is suspected, or the user asks about Hungarian vs ordered assignment, matching tolerance, or debugonsetoverfit output.
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 PAPEROUTLINE only when drafting the paper.
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.
Runs tide overfit ablations — confidence threshold sweep, loss-weight variants, and architecture changes on MERT. Use when investigating F1 plateau, loss weight tuning, threshold post-hoc, or archmedium vs archlarge on tide.
Runs tide single-song overfit smoke tests across conv1d, mel, and MERT frontends via WSL GPU. Use when the user mentions tide overfit, overfit suite, frontend ablation, smoke test on tide, or comparing preprocessing frontends.
Answers what to do now, what's next, where are we, project status, or orientation. When the user then says do it, go ahead, or start, execute the If you say do it steps from the last whats-next answer. Runs projectstatus.py and reads EXPERIMENTLOG § Current phase.
Runs StepCOVNet GPU training and MERT extraction on Windows via WSL with TensorFlow CUDA libraries. Use for trainonset, overfit scripts, extractmertfeatures with cuda, or when TensorFlow sees zero GPUs in WSL.
★not rated 22 9d agoA58 tokens
originalApache-2.0
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