Scheduled scrub: TL;DR blocks on experiment issues.
marin-community/marin
SkillsMP has collected 43 skills from marin-community/marin. Open a skill to review its source and details.
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Skills in this repository
Showing 40 of 43 collected skills.
Launch, monitor, hand off, resume, rollback, or babysit expensive Marin production. Typically >=1e22 model flops.
Lint, run the pre-PR checks, commit, push, and author or update the branch's pull request in the required plain-text format. Use when committing, pushing, or creating/updating a PR.
Rebase one Marin fork onto newer upstream per its config/external/migration.toml descriptor, run the fork's e2e, and open the Marin PR or file a blocker issue.
Clean a branch with strict gates for low-value tests and agentic prose. Use when asked to deslop, simplify, clean up, make a diff minimal, review test quality, tighten comments/docs/PR text, or remove AI-writing patterns such as rhetorical "X, not Y"…
Marin house writing style. Use when drafting or revising Marin-authored prose, including commit messages and GitHub PR, issue, or comment text.
Write or revise Marin tests with an emphasis on behavior, regression coverage, pytest style, and avoiding "slop tests." Use when adding tests, fixing failing tests, reviewing test quality, or deciding what test would catch a bug.
Run a Zephyr control and treatment on pre-normalized data and compare per-stage Finelog CPU, elapsed-time, and memory stats. Use for ad hoc comparisons and PR performance gates; add named treatments only when requested.
Search and cite Marin's Echo activity and wiki, then capture incident records or reusable shared knowledge. Use when looking for prior discussions, decisions, workflows, incident patterns, exact errors, tags, or identifiers; when prior context could shorten…
Add, modify, or autotune a TPU/GPU Pallas kernel.
Publish a tagged postmortem incident record to Echo. Use after an infrastructure or durable debugging session, then link the canonical Echo URL from the associated PR or issue.
Produce a 1-page design proposal for an explicit design task or a design-level change identified by another change workflow. Do not use to answer or evaluate an idea inline.
End-to-end workflow to fix a GitHub issue in marin-community/marin.
Launch, monitor, and seal Marin canary and daily ferry runs.
Deploy the Iris controller to one cluster or across the fleet, with automatic progress through passed gates. Use when restarting, rolling out, or rolling back a controller.
Add a GCP IAM or IAP user grant to the marin-iac Pulumi stacks, encrypting human principals. Use when someone needs access to a project role, bucket/secret/service account, or an IAP-gated web service (evaldash, grafana), whether requested locally or on a…
Review a marin-iac user-grant PR by decrypting the changed principals into the real emails and grants, confirm with the user, then approve, merge, and drive pulumi up. Use when reviewing a PR that edits iam_data.yaml or a service's IAP viewers.
Reserve Iris-backed CoreWeave H100 or GB200 nodes with dev_gpu.py. Use for interactive GPU debugging, multi-node tests, or reconnecting to a dev GPU session.
Investigate a vLLM serve's performance (throughput, TTFT/TPOT latency, queue depth, KV-cache usage) from durable Finelog telemetry with SQL. Use when asked how an inference or eval serve performed, or why it was slow. For kernel-level JAX profiling, use…
Debug code bugs or Iris/Zephyr/TPU infrastructure faults with a structured incident record.
Diagnose and safely recover stuck terminating Kubernetes pods on Marin CoreWeave clusters, especially node-bound GPU pods. Use for deletion hangs, suspected uninterruptible GPU/NCCL waits, node cordoning or reboot decisions, and force-deletion requests.
Retire legacy experiment scripts behind a dated archive tag.
De-rot markdown docs in lib/iris, lib/zephyr, and lib/fray.
Curate the experiment report index at docs/reports/index.md.
Profile JAX training and analyze hotspots. Use when profiling or optimizing training throughput.
Multi-session research workflow: compose logbooks, experiment issues, documentation updates, and snapshot discipline for long-running investigations.
Create stable commit or tag snapshots for task milestones, experiment results, and reproducible artifact links.
File a GitHub issue for a bug or improvement found this session.
Multi-agent correctness review of a pull request.
Monitor an Iris job and recover it on failure. Use when asked to babysit or watch a job or run.
Triage a failed canary ferry run (CI-invoked).
In CI, run the infra/lint catalog review over a PR.
Register or inspect a Hugging Face dataset for Marin pipelines.
Forage prior work before or during Marin research threads: search internal Marin artifacts and external literature/code; produce a cited brief with negative results and ranked experiment hypotheses.
Maintain append-only task/research logbooks and publish the important parts upward into coordinating GitHub issues.
Update documentation, runbooks, and reusable task guidance when implementation work or experiments change behavior or operational practice.
Use W&B runs, reports, and artifacts consistently for experiments, benchmarks, and task results with dense numeric output.
Modify or upstream a Grug/Grugformer experiment variant.
Scheduled scrub: docs and code parity.
Scheduled scrub: repository self-improvement.