Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
The English summary is being prepared. Showing the original description.
Create consistent nn_cfd W&B experiment comparison reports from selected run IDs using wandb and wandb_workspaces. Use this whenever the user asks to report experiment results, create a W&B Report, compare CFD training/eval runs, document baseline-vs-variant outcomes, reproduce the project experiment report template, or publish a leaderboard-style report for milieu/nn_cfd.
The English summary is being prepared. Showing the original description.
See how to installReview the instructions the agent will receive before you install.
Use this skill to turn selected nn_cfd W&B runs into the project-standard
experiment comparison report. The canonical template is the W&B report
[DO NOT DELETE/EDIT] Template Experiment Comparison Report.
references/template.md before making a report by hand. It records the
report width, runset settings, panel positions, plot axis limits, media
keys, and expected block order from the template.scripts/create_experiment_report.py for consistency. It builds the
report from run IDs, validates the summary metrics needed by the table, and
recreates the template panel grid.[YYYY-MM-DD] NAME, where the date is the report's first
creation date. Preserve that date on later edits because the W&B Reports UI
shows the last modified date, not the original creation date.Run from the repo root:
uv run python .agents/skills/experiment-report/scripts/create_experiment_report.py \
--baseline_run_id a9300aedc8926440 \
--experiment_run_ids 854f115d43294ece qz4xm8cq ch930ho8 \
--title "cape domain residual variants"
Useful optional arguments:
--human_result: fills the TL;DR block. If absent, keep the template's human
placeholder.--hypothesis: fills the hypothesis block. If absent, keep the template
placeholder.--core_changes: describes the tested changes in Experiment Setup.--pr_url: adds the PR link.--report_date: pins the [YYYY-MM-DD] prefix when recreating or updating a
report whose first-created date is not today.--created_at_max: adds the template-style CreatedTimestamp runset cap when
cloning a historical report snapshot. Prefer exact run IDs without this cap
for normal reports.wandb_workspaces.reports.v2, not deprecated wandb.apis.reports.width="fluid" so reports render full-width. The report builder must
force this width immediately before save/upsert and verify the saved report
model spec still has width="fluid"; do not silently accept W&B's default
readable width. Check Report.from_url(url, as_model=True).spec.width
because the hydrated Report object can fall back to its local default.report.save(draft=False); this project does not keep hanging draft
experiment reports.[YYYY-MM-DD] NAME. The script will add
today's date if --title omits the bracketed prefix.expr.Metric("name").isin(run_ids).
The W&B UI may display this as Metric("ID"), but the structured expression
should use lowercase name.CreatedTimestamp ascending.run:name column.RunSettings(disabled=True) for the baseline by default, matching the
template's plot behavior, while still keeping the baseline in the markdown
results table.wr.MarkdownBlock for tables and markdown headings. Do not put markdown
tables inside wr.P.Input features and Targets as separate YAML
blocks. Never bury target fields inside an input/features block or say that
targets are "included above."scripts/create_experiment_report.py: deterministic report builder for the
template.references/template.md: exact template anatomy and panel layout.No reviews yet. Tell others what you thought.
No login needed. Share how it worked for you, ask a question, or note where it did not run.
No comments yet. Be the first to write one.
Look up any arxiv paper on alphaxiv.org to get a structured AI-generated overview. This is faster and more reliable than trying to read a raw PDF.
The English summary is being prepared. Showing the original description.
Operator-side analysis of historical ML experiment PRs in Senpai research tracks. Use this skill whenever the user asks to: analyze experiments, categorize PRs, bucket experiments, summarize what's been tried, understand experiment history, review merged vs closed results, or asks "what experiments have we run / worked / failed". Also triggers for: "pull the latest experiments", "what's been tried so far", "category breakdown of PRs", "which experiments succeeded", "noam track analysis". When a branch name is mentioned (e.g. "noam branch", "on the noam branch"), pass it as the base branch to scope the fetch to just those PRs.
The English summary is being prepared. Showing the original description.
Create a typed assignment branch and draft PR for one student. Use when the advisor has a concrete hypothesis and the student has no open `status:wip` or `status:review` assignment.
The English summary is being prepared. Showing the original description.
Create or improve a Senpai target repository's program.md. Use this skill whenever the user wants to point Senpai at a fresh ML or research target repository, define the research objective, primary metric, benchmark contract, allowed edit boundaries, W&B reporting contract, or prepare a repo for autonomous advisor/student experiment loops.
The English summary is being prepared. Showing the original description.
Open GitHub Issues for human input and respond to the researcher team. Use this skill whenever you need to handle a human_issue event, respond to human issues, ask humans a question, or check team communications. Also triggers for: "any human messages?", "check issues", "respond to humans".
The English summary is being prepared. Showing the original description.
Choose, configure, launch, and collect bounded subagents for research and engineering decisions. Root agents and delegation-capable subagents should read this before delegating: every task requires an explicit model tier, and high-leverage work such as research ideation, round planning, plateau pivots, large research reviews, hard optimization, disputed evidence, and expensive experiment portfolios requires frontier judgment.
The English summary is being prepared. Showing the original description.