TradingAgents は何をしますか？
Build AI trading agents for market research, strategy tests, and decision support with a clear multi-agent framework
Build AI trading agents for market research, strategy tests, and decision support with a clear multi-agent framework
TradingAgents is a Claude Code agent skill that build AI trading agents for market research, strategy tests, and decision support with a clear multi-agent framework.
npx skills add chethanad5372/TradingAgentsInstalled? Explore more 研究＆データ分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
Build AI trading agents for market research, strategy tests, and decision support with a clear multi-agent framework
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.