/alphaxiv
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
$ npx -y skills add wanshuiyin/Auto-claude-code-research-in-sleep --skill alphaxiv --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/alphaxiv
Context preview
The summary Claude sees to decide when to auto-load this skill.
Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
SKILL.md
alphaxiv.SKILL.mdname: alphaxiv
description: Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search.
argument-hint: "[arxiv-id-or-url]"
allowed-tools: Bash(*), Read, Write, Glob
AlphaXiv Paper Lookup
Lookup paper: $ARGUMENTS
> Quick single-paper reader with tiered source fallback (overview → full markdown → LaTeX source). Powered by [AlphaXiv](https://alphaxiv.org).
Role & Positioning
This skill is the **quick single-paper reader** that returns LLM-optimized summaries:
| Skill | Source | Best for | |-------|--------|----------| | `/arxiv` | arXiv API | Batch search, PDF download, metadata | | `/deepxiv` | DeepXiv SDK | Progressive section-level reading | | `/semantic-scholar` | S2 API | Published venue metadata, citation counts | | **`/alphaxiv`** | **alphaxiv.org** | **Instant LLM-optimized summary of one paper, with LaTeX source fallback** |
**Do NOT use this skill for** topic discovery, broad literature search, or multi-paper surveys — use `/research-lit` or `/arxiv` instead.
Constants
- **OVERVIEW_URL** = `https://alphaxiv.org/overview/{PAPER_ID}.md`
- **ABS_URL** = `https://alphaxiv.org/abs/{PAPER_ID}.md`
- **ARXIV_SRC_URL** = `https://arxiv.org/src/{PAPER_ID}`
- **ALPHAXIV_UA** = `Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36` — any modern browser UA works; update the version numbers if AlphaXiv starts blocking this value again
> Overrides (append to arguments): > - `/alphaxiv 2401.12345` — quick overview > - `/alphaxiv "https://arxiv.org/abs/2401.12345"` — auto-extract ID > - `/alphaxiv 2401.12345 - depth: src` — force LaTeX source inspection > - `/alphaxiv 2401.12345 - depth: abs` — force full markdown
Workflow
Step 1: Parse Arguments & Extract Paper ID
Parse `$ARGUMENTS` to extract a bare arXiv paper ID. Accept these input formats:
- `https://arxiv.org/abs/2401.12345` or `https://arxiv.org/abs/2401.12345v2`
- `https://arxiv.org/pdf/2401.12345`
- `https://alphaxiv.org/overview/2401.12345`
- `https://alphaxiv.org/abs/2401.12345`
- `2401.12345` or `2401.12345v2`
Strip version suffixes (`v1`, `v2`, ...) for API calls. Store as `PAPER_ID`.
Parse optional directives:
- **`- depth: overview|abs|src`**: force a specific tier instead of cascading
Step 2: Fetch AlphaXiv Overview (Tier 1 — Fastest)
Use `curl` with `{ALPHAXIV_UA}` to fetch the AlphaXiv overview. AlphaXiv may return 403 for non-browser User-Agents; setting a standard browser UA reduces false positives from bot-detection:
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/overview/{PAPER_ID}.md"This returns a **structured, LLM-optimized report** designed for machine consumption. Use this as the default and preferred source.
If the overview answers the user's question, **stop here**. Do not fetch deeper tiers unnecessarily.
If the request fails (HTTP 4xx — 403 bot-block or 404 not-yet-processed) or returns empty content, proceed to Step 3.
Step 3: Fetch Full AlphaXiv Markdown (Tier 2 — More Detail)
Use `curl` with `{ALPHAXIV_UA}` to fetch the full paper markdown:
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/abs/{PAPER_ID}.md"This provides the full paper body as markdown. Use when the user needs:
- Specific methodology details
- Detailed experimental results
- Particular sections not covered in the overview
If this still does not answer the question, proceed to Step 4.
Step 4: Fetch arXiv LaTeX Source (Tier 3 — Deepest)
When the overview and full markdown are both insufficient (e.g., the user asks about equations, proofs, appendix details, or implementation specifics), download the paper's LaTeX source from `https://arxiv.org/src/{PAPER_ID}`.
The source is a `.tar.gz` archive. Download it to a temporary directory, extract it, and list the `.tex` files inside.
Then inspect **only** the files needed to answer the question. Prioritize:
1. Top-level `*.tex` files (usually the main document) 2. Files referenced by `\input{}` or `\include{}` 3. Appendices, tables, or sections directly related to the user's question
**Do NOT read the entire source tree by default.** Read selectively.
Temporary source artifacts live under `/tmp`. Do not rely on persistence.
Step 5: Present Results
Default Answer Shape
## [Paper Title]
- **arXiv**: [PAPER_ID] — https://arxiv.org/abs/[PAPER_ID]
- **Source depth**: overview | abs | src
### Summary
[2-3 sentence summary]
### Key Points
- [point 1]
- [point 2]
- [point 3]
### Answer to Your Question
[Direct answer if the user asked a specific question]
If the user only asks for one specific detail, answer it directly — skip the full template.
**After presenting the summary, you MUST proceed to Step 6 before ending the turn.**
Step 6: Research Wiki Ingest
**You MUST always run the bash block below — it checks for `research-wiki/` internally and exits silently when absent.** Do NOT skip this step based on your own directory check; the bash block handles that for you.
Substitute only `<paper_arxiv_id>` and `<thesis>`; keep `${ARIS_REPO:-...}` as-is so an already-set env var is preserved.
if [ -d research-wiki/ ]; then
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null)}"
if [ -z "${ARIS_REPO:-}" ] && [ -f "$HOME/.aris/repo" ]; then
ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
WIKI_SCRIPT=".aris/tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || WIKI_SCRIPT="tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || { [ -n "${ARIS_REPO:-}" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"; }
[ -f "$WIKI_SCRIPT" ] || {
echoRead more
name: alphaxiv description: Quick single-paper lookup via AlphaXiv LLM-optimized summaries with tiered source fallback. Use when user says "explain this paper", "summarize paper", pastes an arXiv/AlphaXiv URL, or provides a bare arXiv ID for quick understanding - not for broad literature search. argument-hint: "[arxiv-id-or-url]" allowed-tools: Bash(*), Read, Write, Glob
AlphaXiv Paper Lookup
Lookup paper: $ARGUMENTS
> Quick single-paper reader with tiered source fallback (overview → full markdown → LaTeX source). Powered by [AlphaXiv](https://alphaxiv.org).
Role & Positioning
This skill is the **quick single-paper reader** that returns LLM-optimized summaries:
| Skill | Source | Best for | |-------|--------|----------| | `/arxiv` | arXiv API | Batch search, PDF download, metadata | | `/deepxiv` | DeepXiv SDK | Progressive section-level reading | | `/semantic-scholar` | S2 API | Published venue metadata, citation counts | | **`/alphaxiv`** | **alphaxiv.org** | **Instant LLM-optimized summary of one paper, with LaTeX source fallback** |
**Do NOT use this skill for** topic discovery, broad literature search, or multi-paper surveys — use `/research-lit` or `/arxiv` instead.
Constants
- **OVERVIEW_URL** = `https://alphaxiv.org/overview/{PAPER_ID}.md`
- **ABS_URL** = `https://alphaxiv.org/abs/{PAPER_ID}.md`
- **ARXIV_SRC_URL** = `https://arxiv.org/src/{PAPER_ID}`
- **ALPHAXIV_UA** = `Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/124.0.0.0 Safari/537.36` — any modern browser UA works; update the version numbers if AlphaXiv starts blocking this value again
> Overrides (append to arguments): > - `/alphaxiv 2401.12345` — quick overview > - `/alphaxiv "https://arxiv.org/abs/2401.12345"` — auto-extract ID > - `/alphaxiv 2401.12345 - depth: src` — force LaTeX source inspection > - `/alphaxiv 2401.12345 - depth: abs` — force full markdown
Workflow
Step 1: Parse Arguments & Extract Paper ID
Parse `$ARGUMENTS` to extract a bare arXiv paper ID. Accept these input formats:
- `https://arxiv.org/abs/2401.12345` or `https://arxiv.org/abs/2401.12345v2`
- `https://arxiv.org/pdf/2401.12345`
- `https://alphaxiv.org/overview/2401.12345`
- `https://alphaxiv.org/abs/2401.12345`
- `2401.12345` or `2401.12345v2`
Strip version suffixes (`v1`, `v2`, ...) for API calls. Store as `PAPER_ID`.
Parse optional directives:
- **`- depth: overview|abs|src`**: force a specific tier instead of cascading
Step 2: Fetch AlphaXiv Overview (Tier 1 — Fastest)
Use `curl` with `{ALPHAXIV_UA}` to fetch the AlphaXiv overview. AlphaXiv may return 403 for non-browser User-Agents; setting a standard browser UA reduces false positives from bot-detection:
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/overview/{PAPER_ID}.md"This returns a **structured, LLM-optimized report** designed for machine consumption. Use this as the default and preferred source.
If the overview answers the user's question, **stop here**. Do not fetch deeper tiers unnecessarily.
If the request fails (HTTP 4xx — 403 bot-block or 404 not-yet-processed) or returns empty content, proceed to Step 3.
Step 3: Fetch Full AlphaXiv Markdown (Tier 2 — More Detail)
Use `curl` with `{ALPHAXIV_UA}` to fetch the full paper markdown:
curl -sL --max-time 15 -A "{ALPHAXIV_UA}" "https://alphaxiv.org/abs/{PAPER_ID}.md"This provides the full paper body as markdown. Use when the user needs:
- Specific methodology details
- Detailed experimental results
- Particular sections not covered in the overview
If this still does not answer the question, proceed to Step 4.
Step 4: Fetch arXiv LaTeX Source (Tier 3 — Deepest)
When the overview and full markdown are both insufficient (e.g., the user asks about equations, proofs, appendix details, or implementation specifics), download the paper's LaTeX source from `https://arxiv.org/src/{PAPER_ID}`.
The source is a `.tar.gz` archive. Download it to a temporary directory, extract it, and list the `.tex` files inside.
Then inspect **only** the files needed to answer the question. Prioritize:
1. Top-level `*.tex` files (usually the main document) 2. Files referenced by `\input{}` or `\include{}` 3. Appendices, tables, or sections directly related to the user's question
**Do NOT read the entire source tree by default.** Read selectively.
Temporary source artifacts live under `/tmp`. Do not rely on persistence.
Step 5: Present Results
Default Answer Shape
## [Paper Title] - **arXiv**: [PAPER_ID] — https://arxiv.org/abs/[PAPER_ID] - **Source depth**: overview | abs | src ### Summary [2-3 sentence summary] ### Key Points - [point 1] - [point 2] - [point 3] ### Answer to Your Question [Direct answer if the user asked a specific question]
If the user only asks for one specific detail, answer it directly — skip the full template.
**After presenting the summary, you MUST proceed to Step 6 before ending the turn.**
Step 6: Research Wiki Ingest
**You MUST always run the bash block below — it checks for `research-wiki/` internally and exits silently when absent.** Do NOT skip this step based on your own directory check; the bash block handles that for you.
Substitute only `<paper_arxiv_id>` and `<thesis>`; keep `${ARIS_REPO:-...}` as-is so an already-set env var is preserved.
if [ -d research-wiki/ ]; then
cd "$(git rev-parse --show-toplevel 2>/dev/null || pwd)" || exit 1
ARIS_REPO="${ARIS_REPO:-$(awk -F'\t' '$1=="repo_root"{print $2; exit}' .aris/installed-skills.txt 2>/dev/null)}"
if [ -z "${ARIS_REPO:-}" ] && [ -f "$HOME/.aris/repo" ]; then
ARIS_REPO=$(cat "$HOME/.aris/repo" 2>/dev/null) || true
fi
WIKI_SCRIPT=".aris/tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || WIKI_SCRIPT="tools/research_wiki.py"
[ -f "$WIKI_SCRIPT" ] || { [ -n "${ARIS_REPO:-}" ] && WIKI_SCRIPT="$ARIS_REPO/tools/research_wiki.py"; }
[ -f "$WIKI_SCRIPT" ] || {
echo· · · · · · -orange?style=flat) · · 💬 Join Community · 💡 Use ARIS as a skill-based workflow in Claude Code / Codex CLI / Cursor / Trae / Antigravity / GitHub Copilot CLI / OpenClaw, or get the full experience with the standalone ARIS-Code CLI — enjoy any
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Use when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission.
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Open skill - /arxiv
Search, download, and summarize academic papers from arXiv. Use when user says "search arxiv", "download paper", "fetch arxiv", "arxiv search", "get paper pdf", or wants to find and save papers from arXiv to the local paper library.
Open skill - /auto-paper-improvement-loop
Autonomously improve a generated paper via GPT-5.6-Sol xhigh review → implement fixes → recompile, for 2 rounds. Use when user says \"改论文\", \"improve paper\", \"论文润色循环\", \"auto improve\", or wants to iteratively polish a generated paper.
Open skill - /auto-review-loop-llm
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
Open skill - /auto-review-loop-minimax
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
Open skill

