claude

valhalla

Search a shared base of AI-research experiences (what failed, what worked, and why) before designing experiments, choosing configs, debugging runs, or driving an autoresearch loop — and record new experiences afterward.

0 on GitHubby lezhang7v0.1.0MITupdated 4 months agodevelopment
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Plugin valhalla from marketplace valhalla in lezhang7/Autoresearch-Valhalla. Commands read from the repo's manifest — 1 month ago.

What it installs

Skills (1)

  • valhalla

    Use BEFORE committing to an AI/ML research direction, experimental design, training-run config, or autoresearch agent's next step — and when debugging a failing run (loss spikes/NaNs, eval that looks too good, RL reward hacking, RAG/retrieval quality, fine-tuning regressions, distributed-training ha

Slash commands (3)

  • /valhalla:valhalla-add

    Record a new AI-research experience (failure or success) into Valhalla

  • /valhalla:valhalla-search

    Search Valhalla for AI-research experiences (failures & successes) relevant to a query

  • /valhalla:valhalla

    Overview of Valhalla and how to use the shared AI-research experience base

View source on GitHub

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