About alpha-research
alpha-research is a skill for searching, reading, and asking questions about academic papers through Feynman alpha tools or the `feynman alpha` CLI. It also supports reading paper-repository files and saving annotations.
Key features
- 01Semantic, keyword, and agentic paper search
- 02Fetch paper content or full text
- 03Ask questions about a paper PDF
- 04Read files from a paper's GitHub repo
- 05Save, list, and clear annotations
Use cases
- 01Find papers on a research topic
- 02Inspect a paper's methods or results
- 03Review source files linked to a paper
- 04Keep persistent notes on papers
Install
Copy the command and run it in a terminal.
$
npx skills add https:/ / github.com/ companion-inc/ feynman --skill alpha-researchAfter installing, type/alpha-researchin Claude Code to confirm it loaded.
Details
From the project READMEAlpha 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
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
Comments
Markdown supported