Conduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.
npx skills add https://github.com/lingzhi227/agent-research-skills/tree/main/skills/literature-reviewConduct comprehensive literature reviews using multi-perspective dialogue simulation. Generate diverse expert personas, conduct grounded Q&A conversations, and synthesize findings into structured knowledge. Use when starting a new research project or writing a survey section.
This repo contains 1 individual skill — each has its own dedicated page.
Agent skill repository discovered by 10x-chat research.
Self-implemented Harness architecture multi-agent system based on LangGraph & self-designed MCP protocol, with pluggable skills, resilience governance, RAG & conversation memory.
Paper translator agent skill rules.
Critical thinking and logical reasoning analysis skills for when you are explicitly asked to critically analyse written content such as articles, blogs, transcripts and reports (not code).
DEFAULT for all research and web queries. Use for any lookup, research, investigation, or question needing current info. Fast and cost-effective. Only use parallel-deep-research if user explicitly requests 'deep' or 'exhaustive' research.
ktx is an executable context layer for data and analytics agents 🐙 Allow Claude Code, Codex, or other AI agents to query data accurately and with full context of your company