Individual skill
scholar-megasearch
Massive multi-source academic literature search via subagent orchestration. Fans out parallel searchers across every available scholarly source — arXiv, Semantic Scholar, Crossref, OpenAlex, PubMed/PMC, bioRxiv/medRxiv, DOAJ, CORE, BASE, DBLP, IACR, SSRN, Zenodo, Unpaywall, plus web/GitHub — then deduplicates by DOI/arXiv-id/title into one ranked corpus and synthesizes it. Use when the user wants a broad/exhaustive literature sweep, a large-scale paper search, a systematic review corpus, citation snowballing, or to find as many papers as possible on a topic across many databases at once. Triggers: "massive literature search", "literature review", "search across every database", "systematic search", "mega search", "search every source", "exhaustive search". Localized trigger phrases in other languages map to the same intent.
skills/scholar-megasearch/SKILL.md
Source commit a24fa3e3274afe84f958279f8b34bc3c67a6b0b5
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 11, 2026
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Repository context
- Repository stars (not skill ratings)
- 31
- Repository last updated
- Aug 14, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- academic-search Repository topic
- agent-skills Repository topic
- anthropic Repository topic
- arxiv Repository topic
- claude Repository topic
- claude-code Repository topic
- literature-review Repository topic
- mcp Repository topic
- model-context-protocol Repository topic
- multi-agent Repository topic
- research Derived category
- data Derived category
- data-databases Derived category
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Read excerpt
# scholar-megasearch
Integrates every academic search MCP/skill in this environment into one fan-out →
merge → synthesize pipeline. Each subagent owns one **source bucket** and searches in
parallel; results are merged into a single deduplicated, provenance-tracked, ranked
corpus. Prefer this over single-source searches whenever breadth matters.
Works in both Claude Code and Codex. Use the host's native tool discovery when MCP
schemas are deferred: Claude Code may expose `ToolSearch`; Codex may expose
`tool_search`. Use the skill directory from the loaded skill path for bundled scripts.
Default install locations:
- Claude Code: `~/.claude/skills/scholar-megasearch`, venv `~/.claude/skill_venv`.
- Codex: `~/.agents/skills/scholar-megasearch`, venv `${CODEX_HOME:-~/.codex}/skill_venv`.