Agent skill

deepxiv

Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill deepxiv --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/analysis/deepxiv/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# DeepXiv Paper Search & Progressive Reading Search topic or paper ID: $ARGUMENTS ## Role & Positioning DeepXiv is the progressive-reading literature source: | Skill | Source | Best for | |-------|--------|----------| | `/arxiv` | arXiv API | Batch search, PDF download, metadata | | **`/deepxiv`** | **DeepXiv SDK** | **Progressive section-level reading** | | `/semantic-scholar` | S2 API | Published venue metadata, citation counts | | `/alphaxiv` | alphaxiv.org | Instant LLM-optimized summary of one paper, with LaTeX source fallback | Use DeepXiv when you want to inspect papers incrementally instead of loading the full text immediately. ## Constants - **DEEPXIV_FETCHER** — canonical name `deepxiv_fetch.py`, resolved per [`shared-references/integration-contract.md`](../shared-references/integration-contract.md) §2 (Codex-side chain: `$ARIS_REPO/tools/` → `tools/` → `~/.codex/skills/deepxiv/`). Policy D1 — if unresolved (canonical chain exhausted), fall back to raw `deepxiv` CLI. - **MAX_RESULTS = 10** — Default number of search results. > Overrides (append to arguments): > - `/deepxiv "agent memory" - max: 5` > - `/deepxiv "2409.05591" - brief` > - `/deepxiv "2409.05591" - head` > -

What's inside
Steps it walks through
  1. Role & Positioning
  2. Constants
  3. Setup
  4. Workflow
  5. Step 1: Parse Arguments
  6. Step 2: Locate the Adapter
  7. Step 3: Execute the Minimal Command
  8. Step 4: Present Results
  9. Step 5: Escalate Depth Only When Needed
  10. Step 6: Update Research Wiki (if active)
  11. Key Rules
Ships with 1 file
  • metadata.json
Commands it runs
pip install deepxiv-sdk
if [ -z "${ARIS_REPO:-}" ] && [ -f .aris/installed-skills-codex.txt ]; then
fi
Smoke test (optional): resolved-but-non-functional adapter is not currently auto-demoted.
if [ -n "$DEEPXIV_FETCHER" ]; then
echo "DeepXiv adapter resolved at: $DEEPXIV_FETCHER" >&2
else
echo "DeepXiv adapter unresolved (canonical chain exhausted); raw deepxiv CLI fallback will be used." >&2
deepxiv search "QUERY" --limit MAX_RESULTS --format json
deepxiv paper ARXIV_ID --brief --format json
More from claude-skill-registry
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About this skill
What does the deepxiv skill do?

Search and progressively read open-access academic papers through DeepXiv. Use when the user wants layered paper access, section-level reading, trending papers, or DeepXiv-backed literature retrieval.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill deepxiv --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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