claude

llm

Multi-LLM research — deep research, second opinions, and multi-model debate via GPT, Gemini, Grok, and Perplexity

3 on GitHubby beornv0.1.0MITupdated 2 days ago
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Plugin llm from marketplace bearly in beorn/bearly. Commands read from the repo's manifest — 2 days ago.

What it installs

Skills (6)

  • ask

    Single-model quick questions to other LLMs — fast, cheap (~$0.02). Use for one-off second opinions and prior-art lookups. For multi-model judging use /pro. For web-search research use /deep.

  • big

    META-PROTOCOL for reframing the problem (10-20 hypotheses, 2 rounds, find the design where the bug can't happen). Calls /pro or /deep internally — not itself an LLM tool. Use when the fix feels like a patch or the same area keeps breaking. Subsumes /fresh.

  • deep

    Provider-dependent deep web research with citations. Use when external sources or broad research matter; use /pro for multi-model judging without web research.

  • fresh

    META-PROTOCOL for being stuck 20+ min on a specific problem — stops coding, gathers context, calls /deep (or /pro) internally with a structured request. Not itself an LLM tool. For unstructured stuck-feelings use /big; for direct questions use /ask, /pro, /deep.

  • llm

    Multi-LLM research — deep research, second opinions, and multi-model debate. Use when user says /llm.

  • pro

    Multi-leg dual-pro dispatch (config-driven fleet: mainstays + split-test slots) — second opinions, code reviews, architectural advice. Parallel models judged on a rubric. Heavier than /ask.

View source on GitHub

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