tradingagents/TradingAgents
Multi-agent financial trading framework leveraging LLMs to simulate real-world trading firm dynamics
Multi-agent financial trading framework leveraging LLMs to simulate real-world trading firm dynamics
npx add-skill tradingagents/TradingAgentsMulti-agent financial trading framework leveraging LLMs to simulate real-world trading firm dynamics
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings
Agent skill repository discovered by 10x-chat research.
Fastest agentic search substrate. S3-native ls/glob/read/grep with tree-sitter spans, parallel fan-out, MCP server. Rust.
🔍 Enhance code searches with ast-grep, finding patterns in your code structure for improved error handling and analysis.
GitHub repository for sichgeis/obsidian-wiki-skills updated in the agent skills ecosystem.
🔍 Claude Code deep research skill — Three-layer search orchestration (Grok + Exa + Browser) with intelligent routing and formatted reports