Review a Marin pull request as a complete change, checking how it fits existing code, where simpler structures could work, and what might break beyond the edited lines. Receive findings with evidence and concrete replacements.
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Collect experiment reports from issues and organize them in an existing Markdown index. It places entries in relevant sections, merges WandB experiment links into existing records, and checks for duplicate entries and formatting inconsistencies.
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Profile JAX, Levanter, or Marin training to investigate slow startup, compilation, initialization, or throughput. Turn execution traces, recorded timing events, into structured reports, identify costly operations, and compare performance before and after a bounded change.
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Update external forks used by Marin to newer upstream code, review which custom patches to retain, update pinned revisions, and run required tests before preparing a draft pull request for review.
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Analyze oversized logs with natural-language queries using Gemini. Extract matching original lines with line numbers, produce a Markdown summary, or combine both steps to focus a report on relevant errors and events.
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Preview pending infrastructure changes in a specified Marin Pulumi stack without applying them. Trace each change to supporting code and merged pull requests when deployment history provides a reliable Git baseline.
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Register Hugging Face datasets for Marin by inspecting their structure without downloading the full dataset. Identify text fields, configurations, and data splits, then add a dataset module and validate the mapping with a sample.
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Review recent issues, pull requests, and recurring operational problems to choose a concrete repository improvement. Check for duplicate work, implement a suitable change, or document a plan and follow-up when implementation is blocked.
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Design or revise Marin experiment pipelines by connecting reusable tasks and their outputs in a dependency graph. Organize shared implementations separately from experiment settings, then check that the workflow connects the intended inputs and stages.
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Review a Marin access-change pull request by decrypting user identities and explaining their roles and resources. After explicit human confirmation, merge the request and apply only the verified permission changes through Pulumi.
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Prepare completed changes for commit and pull request review. It cleans the diff, runs repository checks, commits and pushes changes, prepares the pull request, and monitors automated checks and review feedback after publication.
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Turn a specified GCP access request into a reviewable Pulumi change and pull request. Select the narrowest suitable role and encrypt personal email identities, covering resource permissions and Cloud Run viewer access through IAP, an access gateway.
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Add or update Pallas/Mosaic kernels, specialized computation routines for JAX. The skill covers reference implementations, output and gradient checks, public wrappers, fallback behavior, performance benchmarks, and hardware-specific tuning when requested.
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Preserve old experiment scripts with a dated Git tag, a named snapshot of the code, and add comments linking related GitHub issues to the archived files and cleanup pull request.
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Review a branch diff for tests that do not protect meaningful behavior, prose that adds no useful information, and unnecessary code structures. When editing is authorized, simplify the changes and verify them with focused tests.
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Investigate Marin questions or coordinate experiments across sessions by reviewing prior work, testing explanations against conflicting evidence, and recording conclusions. Results include source links, limitations, and confidence in the conversation or an existing project record.
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Check documentation and operator scripts against current code and command conventions. Correct confirmed mismatches in small, focused changes, publish them through a pull request, and report what was inspected when no update is needed.
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Keep documentation aligned with changes to behavior, configuration, and operational procedures. It updates existing pages, corrects stale instructions, and preserves reusable workflow or research guidance so future readers can find authoritative information.
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Write and revise commits, pull requests, issues, documentation, reports, and blog posts using Marin's editorial style. Lead with results, support claims with evidence, explain limitations, and adapt the structure to the publication format.
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Check a new internal Marin developer’s local environment and access to development services. Distinguish setup problems from missing permissions, repair authorized local issues, and provide a checklist of verified capabilities and remaining access requests.
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Investigate Finelog logs and runtime measurements for Iris tasks, training, and vLLM. Discover available fields, write time-bounded SQL, summarize resource usage, compare central and regional records, and interpret counters correctly.
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Review a specified Marin pull request for newly introduced defects, repository instruction violations, and concrete maintenance problems. Receive findings backed by code evidence, with optional posting of review comments to GitHub.
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Review GitHub experiment issues and update concise summaries that explain the setup, investigation, and current conclusion. Add useful supporting links and maintain labels so newcomers can understand both ongoing and completed work.
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Operate Iris jobs and tasks, from submission and monitoring to debugging and recovery. The skill also guides scheduling checks, coordination between clusters, controller deployments, development GPU or TPU reservations, and investigation of stuck CoreWeave pods.
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