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Search, read, and query research papers via the `alpha` CLI (alphaXiv-backed). 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.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | alpha-research |
| description | Search, read, and query research papers via the `alpha` CLI (alphaXiv-backed). 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. |
Use the alpha CLI via bash for all paper research operations.
| Command | Description |
|---|---|
alpha search "<query>" | Search papers. Prefer --mode semantic by default; use --mode keyword only for exact-term lookup and --mode agentic for broader retrieval. |
alpha get <arxiv-id-or-url> | Fetch paper content and any local annotation |
alpha get --full-text <arxiv-id> | Get raw full text instead of AI report |
alpha ask <arxiv-id> "<question>" | Ask a question about a paper's PDF |
alpha code <github-url> [path] | Read files from a paper's GitHub repo. Use / for overview |
alpha annotate <paper-id> "<note>" | Save a persistent annotation on a paper |
alpha annotate --clear <paper-id> | Remove an annotation |
alpha annotate --list | List all annotations |
Run alpha login to authenticate with alphaXiv. Check status with feynman alpha status, or alpha status once your installed alpha-hub version includes it.
alpha search "transformer scaling laws"
alpha search --mode agentic "efficient attention mechanisms for long context"
alpha get 2106.09685
alpha ask 2106.09685 "What optimizer did they use?"
alpha code https://github.com/karpathy/nanoGPT src/model.py
alpha annotate 2106.09685 "Key paper on LoRA - revisit for adapter comparison"
alphaThis skill inherits the SeaBridgeAI /goal default protocol. Frame the work with a persistent goal, Definition of Done, validation plan, risks, dependencies, expected artifacts, and completion evidence. Do not claim completion until the DoD is validated or a hard blocker is documented.
Canonical protocol: C:\Users\adelm\SeaBridgeAI\everything-claude-code\protocols\GOAL_PROTOCOL.md
Autonomous experiment loop that tries ideas, measures results, keeps what works, and discards what doesn't. Use when the user asks to optimize a metric, run an experiment loop, improve performance iteratively, or automate benchmarking.
Contribute changes to the Feynman repository itself. Use when the task is to add features, fix bugs, update prompts or skills, change install or release behavior, improve docs, or prepare a focused PR against this repo.
Run a thorough, source-heavy investigation on any topic. Use when the user asks for deep research, a comprehensive analysis, an in-depth report, or a multi-source investigation. Produces a cited research brief with provenance tracking.
Execute research code inside isolated Docker containers for safe replication, experiments, and benchmarks. Use when the user selects Docker as the execution environment or asks to run code safely, in isolation, or in a sandbox.
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
Inspect active background research work including running processes, scheduled follow-ups, and pending tasks. Use when the user asks what's running, checks on background work, or wants to see scheduled jobs.