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alpha-research

Search, read, and query research papers via Feynman's alphaXiv-backed alpha tools. Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.

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Companion-Inc/feynman
Dernière activité de la source
24 septembre 2026 à 20:58
Langue détectée de SKILL.md
anglais
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1 096

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SKILL.md
Instructions source · Aperçu en lecture seule
name
alpha-research
description
Search, read, and query research papers via Feynman's alphaXiv-backed alpha tools. Use when the user asks about academic papers, wants to find research on a topic, needs to read a specific paper, ask questions about a paper, inspect a paper's code repository, or manage paper annotations.
# Alpha Research CLI Use visible Feynman alpha tools when they are available. For shell commands, use `feynman alpha ...`; do not call the user's bare global `alpha` binary because it can be stale. ## Commands | Command | Description | |---------|-------------| | `feynman alpha search "<query>"` | Search papers. Prefer `--mode semantic` by default; use `--mode keyword` only for exact-term lookup and `--mode agentic` for broader retrieval. | | `feynman alpha get <arxiv-id-or-url>` | Fetch paper content and any local annotation | | `feynman alpha get --full-text <arxiv-id>` | Get raw full text instead of AI report | | `feynman alpha ask <arxiv-id> "<question>"` | Ask a question about a paper's PDF | | `feynman alpha code <github-url> [path]` | Read files from a paper's GitHub repo. Use `/` for overview | | `feynman alpha annotate <paper-id> "<note>"` | Save a persistent annotation on a paper | | `feynman alpha annotate --clear <paper-id>` | Remove an annotation | | `feynman alpha annotate --list` | List all annotations | ## Auth Run `feynman alpha login` to authenticate with alphaXiv. Check status with `feynman alpha status`. ## Examples ```bash feynman alpha search "transformer scaling laws" feynman alpha search --mode agentic "efficient attention mechanisms for long context" feynman alpha get 2106.09685 feynman alpha ask 2106.09685 "What optimizer did they use?" feynman alpha code https://github.com/karpathy/nanoGPT src/model.py feynman alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison" ``` ## When to use - Academic paper search, reading, Q&A → Feynman alpha tools or `feynman alpha` - Current topics (products, releases, docs) → web search tools - Mixed topics → combine both
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