skills/14-luischanci-claude-code-research-starter/dot-claude/skills/lit-review/SKILL.md
Structured literature search and synthesis with citation extraction and gap identification.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research lit-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
Conduct a structured literature search and synthesis on the given topic.
Check existing materials:
master_supporting_docs/supporting_papers/ for uploaded papers.bib files for already-cited worksSearch for literature:
WebSearch for recent publications (last 5-10 years prioritized)WebFetch for accessible papers and abstractsOrganize findings into:
Identify gaps and opportunities: What questions remain unanswered? Where could new work contribute?
Extract citations in BibTeX format for relevant papers.
Save report to quality_reports/lit_review_[sanitized_topic].md.
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".