literature-reviewlisted

# Literature Review Conduct deep literature reviews through multi-perspective dialogue and systematic search. ## Input - `$0` — Research topic or question - `$1` — Optional: specific focus or angle ## References - Multi-perspective dialogue prompts (STORM): `~/.claude/skills/literature-review/references/dialogue-prompts.md` - Literature review workflow (AgentLaboratory): `~/.claude/skills/literature-review/references/review-workflow.md` ## Scripts (from literature-search skill) ```bash # Search Semantic Scholar python ~/.claude/skills/deep-research/scripts/search_semantic_scholar.py --query "topic" --max-results 20 # Search OpenAlex python ~/.claude/skills/literature-search/scripts/search_openalex.py --query "topic" --max-results 20 # Search arXiv python ~/.claude/skills/deep-research/scripts/search_arxiv.py --query "topic" --max-results 10 ``` ## Workflow ### Step 1: Generate Expert Personas (from STORM) Given the topic, create 3-5 diverse expert personas: - Each represents a different perspective, role, or research angle - Example: "ML systems researcher focused on efficiency", "Theoretical statistician concerned with guarantees" - Use the persona generation prompts from references ### Step 2: Multi-Perspective Dialogue For each persona, simulate a multi-turn Q&A conversation: 1. **Persona asks a question** from their unique angle 2. **Generate search queries** from the question 3. **Search literature** using the search scripts 4. **Synthesize an answer** ground