Who it is forAn engineer or researcher working in a terminal who needs a quick, cited starting point for a tricky algorithm or systems problem.
The problemSearching arXiv by hand returns many papers with no decision, and it takes time to judge which approach fits the problem.
The outcomeA short brief with one committed recommendation, the reasons other paths lost, a first step, and a named risk, all tied to real papers.
What you need first
- Node.js and npm, since the README installs with npx and npm install
- Claude Code or Codex CLI installed, or a terminal for the neuroarxiv CLI
- Access to an LLM for the per-paper reads (the README does not detail the setup)
- A written description of the problem you want to design around
Steps
- Clone the repository with
git clone https://github.com/UditAkhourii/neuroarxiv.gitand enter it withcd neuroarxiv. - Run
npm installand thennpm run buildinside the checkout. - Run
node dist/cli.js installif you want the skill installed into your agents. - Run
neuroarxiv "<your problem in one sentence>" --papers 6to get the brief. (inferred, check the README) - Use
neuroarxiv --helpto see the full flag reference if you want to change the run.
Prompt for your agent
In the UditAkhourii/neuroarxiv repo, run `neuroarxiv "<problem>" --papers 6` and return the recommended cluster, its cited arXiv links, the first step, and the risk. Confirm that each cited arXiv id appears in the fetched metadata before reporting it.
Caveat. The README says the fetch step is deterministic and courtesy-rate-limited, but the per-paper reads use an LLM whose setup the README does not describe, so confirm the model configuration before running it.
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