Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018).
Part of PaperOrchestraPack · 9 skills
by Ar9av· ResearchUnclaimed · Yours? Claim it
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Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). Execute the literature search strategy from outline.json — discover candidate papers via web search, verify them through Semantic Scholar (Levenshtein > 70 fuzzy title match, temporal cutoff, dedup by paperId), cross-corroborate against Crossref + OpenAlex to flag hallucinated citations, build a BibTeX file, and draft Introduction + Related Work using ≥90% of the verified pool. Runs in parallel with the plotting-agent. TRIGGER when the orchestrator delegates Step 3 or when the user asks to "find citations for my paper", "draft the related work", or "build the bibliography".
Skills people install alongside literature-review-agent.
Runs on your machine.
Runs on your machine.
Runs on your machine.
Runs on your machine.
npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.copilot/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.cursor/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.claude/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.agents/skills/literature-review-agent
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Runs on your machine.
npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.gemini/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent .agents/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.openclaw/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.config/opencode/skills/literature-review-agent
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npx -y degit Ar9av/PaperOrchestra/skills/literature-review-agent ~/.hermes/skills/literature-review-agent
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Write a reviewSkills people install alongside literature-review-agent.
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A library of AI research skills that lets your agent fine-tune, train, evaluate and serve models, and take a project from idea to paper.
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Researches tech and advanced-manufacturing investment themes by finding supply-chain bottlenecks, then ranks which companies to study first.
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Safe to install in every agent it supports. Runs in your agent, as instructions.