skills/alpha-research/SKILL.md
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.
npx skillsauth add getcompanion-ai/feynman alpha-researchInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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 or unpatched.
| 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 |
Run feynman alpha login to authenticate with alphaXiv. Check status with feynman alpha status.
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"
feynman alphadevelopment
Call a configured Feynman model endpoint and interpret its response. Use when a task needs inference from a registered endpoint, remote model API, local model service, or custom connector-backed predictor.
data-ai
Design or screen protein sequences for solubility-aware constraints with SolubleMPNN-style workflows. Use when a task asks for soluble protein design, expression-friendly variants, or solubility risk filtering.
data-ai
Create or revise Feynman skills. Use when a research workflow needs a reusable on-demand capability, skill metadata, trigger wording, references, scripts, or skill validation.
tools
Inspect the active Feynman workbench session, artifacts, execution log, settings, and provenance. Use when the task asks what happened in this session, which files were written, what tools ran, or what remains unverified.