claude

Labtasker Skill

Teach Claude Code to design and operate Labtasker v2 experiment queues and Workers.

39 on GitHubby lcfv2.8.0Apache-2.0updated 20 days ago
/

Plugin labtasker-skill from marketplace labtasker in luocfprime/labtasker. Commands read from the repo's manifest — 19 days ago.

What it installs

Skills (5)

  • documentation

    Write or revise Labtasker's README and user documentation, especially product positioning, tutorials, guides, examples, case studies, and navigation. Preserve the project's direct, plain-English style for ML researchers, agent-friendly workflow, and contract accuracy. Do not use for code-only work;

  • public-contract-change

    Change Labtasker's public Task lifecycle, HTTP API, Python API, CLI, configuration, query language, or persisted schema while keeping every public surface and invariant aligned. Do not use for internal refactors with no observable behavior change.

  • release

    Prepare, validate, tag, or publish a Labtasker release. Use for version bumps, release readiness, release artifacts, tags, GitHub releases, or PyPI publication; do not use for ordinary development builds.

  • skill-development

    Develop and regression-test Labtasker's public Agent Skill with concise real-user requests, independent examiner and candidate agents, outcome checks, and bounded self-revision. Use when changing skills/labtasker, evaluating its usability, or adding feature workflow coverage; not for product unit/in

  • labtasker

    Use Labtasker v2 to queue and run ML inference, evaluation, or experiment Tasks; set experimental Task dependencies; migrate pipelines; design routes and Workers; inspect Task demand and Worker activity; and archive or recover Tasks. GPU allocation, cluster management, and artifact storage remain ex

View source on GitHub luocfprime.github.io

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