senpai

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.

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.

Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research.

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.

Search for research papers and academic content using Exa advanced search. Full filter support including date ranges and text filtering. Use when searching for academic papers, arXiv preprints, or scientific research.

Create or improve Senpai target-repository onboarding files: program.md plus instructions/prompt-advisor.md and instructions/prompt-student.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, advisor/student prompts, or prepare a repo for autonomous advisor/student experiment loops.

Check and respond to GitHub Issues from the human researcher team. Runs in a forked context (no access to main conversation). Use this skill whenever you need to: check for human messages, respond to human issues, poll for team communications, check GitHub issues. Also triggers for: "any human messages?", "check issues", "respond to humans".

GitHub CLI primitives for the senpai research workflow — label swaps, send-back, close, mark-review, issue checks, PR queries. Use this skill whenever you need to manipulate PR labels, send a PR back to a student, close a dead-end experiment, mark a PR for review, or query the current state of PRs and issues. Also triggers for: "swap labels", "send back to student", "close this PR", "mark for review", "check human issues", "list review-ready PRs", "idle students".

Survey all experiment PRs on a branch and return a structured status report: which students are idle, which PRs await review, which are WIP. This is the heartbeat query — use it to understand the current state of the research track. Triggers for: "survey state", "check PR status", "who's idle", "any PRs ready for review", "what's the current state".

Squash-merge a winning experiment PR and update the baseline. Handles the merge, BASELINE.md update, commit, push, and branch pull. Also handles merge conflicts by sending the PR back for rebase. Use this skill to: merge a winning PR, update baseline, squash merge experiment. Triggers for: "merge winner", "merge this PR", "update baseline after merge", "squash merge".

Submit experiment results for advisor review. Commits changes, pushes the branch, marks the PR as ready, and swaps the status label from wip to review. Use this skill when you've finished running experiments and posted your results comment. Triggers for: "submit for review", "mark PR ready", "send results to advisor", "submit experiment results".

Comprehensive primary skill for agents working with Weights & Biases. Covers both the W&B SDK (training runs, metrics, artifacts, sweeps) and the Weave SDK (GenAI traces, evaluations, scorers). Includes helper libraries, gotcha tables, and data analysis patterns. Use this skill whenever the user asks about W&B runs, Weave traces, evaluations, training metrics, loss curves, model comparisons, or any Weights & Biases data — even if they don't say "W&B" explicitly. Also trigger on training-curve diagnostics questions — run health, divergence, overfit/convergence/plateau, spikes, LR-schedule/grad-norm/grad-histogram reading, dead layers, step-axis choice, and run comparisons.

Poll for assigned experiment PRs for a student. Use this skill to: check for assignments, poll for work, see if there's a PR assigned to me. Triggers for: "any work for me?", "check for assignments", "poll for PRs".

Produce a fresh status report for the senpai ML experiment fleet. Use when the user asks for an experiment status, final status, PR/W&B/pod health check, stale student triage, training shutdown harvest, advisor-state audit, or a "what is really happening right now?" report. The report must prioritize paper-facing test metrics over validation metrics and compare test results to dataset benchmarks or targets.

Create a branch and draft PR to assign a hypothesis to a student. Handles branch creation, PR creation with the correct template and labels, and ensures the student gets a well-structured assignment. Use this skill to: assign an experiment, create a hypothesis PR, give a student work.

Use this skill whenever you need to list all of the experiment ideas tried and in progress for this research programme. It outputs 3 files organized by usefulness — merged winners, a compact results table, and full details for deep dives. Use when generating new experimental ideas to check what has already been tried.

Analyzes and categorizes all ML experiment PRs in the senpai research track. 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.

How to document and publish ML experiment results to GitHub as a pull request. Use this skill whenever a student agent has finished running experiments and needs to create or update a PR — even if the instruction is just "wrap up" or "log your results" or "open a PR". Also use it mid-session to update an in-progress PR as trials complete.

Generate a training curve comparison chart and embed it in a GitHub PR description. Use this skill whenever a student has finished running experiments and is preparing to submit their PR for advisor review. Triggers on: "plot training curves", "add chart to PR", "visualize experiment", "training curve comparison", "plot-experiment-charts", "add chart", "generate comparison chart". Run this before marking the PR ready for review.

Comprehensive guide for Slidev - a web-based presentation framework for developers. Covers Markdown syntax, layouts, components, animations, theming, and exporting. Use this skill when creating or working with developer presentations using Slidev.

Comprehensive primary skill for agents working with Weights & Biases. Covers both the W&B SDK (training runs, metrics, artifacts, sweeps) and the Weave SDK (GenAI traces, evaluations, scorers). Includes helper libraries, gotcha tables, and data analysis patterns. Use this skill whenever the user asks about W&B runs, Weave traces, evaluations, training metrics, loss curves, model comparisons, or any Weights & Biases data — even if they don't say "W&B" explicitly.

Use this skill whenever you need to list all of the experiment ideas tried and in progress for this research programme. It outputs 3 files organized by usefulness — merged winners, a compact results table, and full details for deep dives. Use when generating new experimental ideas to check what has already been tried.