SkillsAdd

sciverse.space

sciverse

Retrieve citation-grade academic literature from Sciverse.

First seen May 18, 2026

Installation

$ npx skills add https://sciverse.space
View on skills.sh ↗ Website ↗

Summary

  • Retrieve citation-grade academic literature from Sciverse.
  • Use when an agent needs structured paper metadata search, semantic paper chunk retrieval for RAG, source text expansion around a paper offset, or figure/table image fetching from scientific papers.
  • Prefer this skill for peer-reviewed and preprint literature tasks that require doc_id/title citations and reproducible retrieval steps.

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,987 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 385 installs

SKILL.md

Sciverse

Use Sciverse for scientific literature retrieval. This skill is agent-neutral: it works through bundled Node.js scripts and does not require a host-specific tool protocol. Keep answers grounded in returned doc_id, title, and excerpts.

Choose The Path

  • Need setup, environment variables, script invocation rules, or exit codes:

read [references/runtime.md](references/runtime.md).

  • Need author/year/journal/DOI/field filtering, schema discovery, metadata

search, or author / journal (source) entity search via collection: read [references/search-tools.md](references/search-tools.md).

  • Need RAG chunks, source text expansion, or paper figures/tables: read

[references/rag-and-content.md](references/rag-and-content.md).

  • Need a workflow decision tree for combining tools: read

[references/workflows.md](references/workflows.md).

Default Workflow

  1. For ambiguous field names or enum values, call list_catalog first.
  2. For natural-language research questions, start with semantic_search.
  3. For structured discovery, use search_papers.
  4. For promising chunks, expand context with read_content.
  5. For figures or tables referenced by Markdown image placeholders, use

get_resource.

Guardrails

  • Do not use Sciverse for general web search, news, or non-scientific content.
  • Cite paper-based claims with doc_id and title.
  • Prefer exact filters only after checking the catalog when field names are

uncertain.

  • Run bundled scripts from this skill directory, or use absolute paths to the

scripts.