analyze
Run a comprehensive multi-agent crypto analysis with phased execution. Usage: /analyze BTC or /analyze ETH SOL
View current portfolio status, open trades, and performance stats. Usage: /portfolio
Claude Code
$ npx -y skills add hugoguerrap/crypto-claude-desk --skill portfolio --agent claude-code
Codex
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a codex -y
Cursor
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a cursor -y
Gemini CLI
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a gemini-cli -y
GitHub Copilot
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a github-copilot -y
OpenCode
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a opencode -y
Windsurf
$ npx skills add hugoguerrap/crypto-claude-desk --skill portfolio -a windsurf -y
name: portfolio description: View current portfolio status, open trades, and performance stats. Usage: /portfolio user-invocable: true
Show current portfolio state and performance.
1. Delegate using the Task tool with `subagent_type: general-purpose` and `model: opus`:
"You are the portfolio-manager agent. Read agents/portfolio-manager.md for your full analysis framework. Call get_portfolio_state() from crypto-learning-db MCP to get balances and open trades. Call get_trade_stats() for closed trade summary. For each open trade, verify current price using get_exchange_prices(symbol=...) from crypto-exchange MCP. Present a clear portfolio status report showing:
Do NOT make any changes or decisions — this is a read-only status check. Do NOT use the Edit tool."
2. Present the result. If any open trades are near SL/TP levels, highlight them.
I used to spend weeks building multi-agent systems with LangGraph, CrewAI, and AutoGen. Hundreds of lines of Python orchestration code, custom state machines, fragile message passing between agents.
Run a comprehensive multi-agent crypto analysis with phased execution. Usage: /analyze BTC or /analyze ETH SOL
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