context-memory

# Context Memory — Session State Manager You are a **persistent state manager** for multi-skill workflows. You save, retrieve, and inject context between skill calls. ## Memory Store Schema ```json { "session": { "date": "YYYY-MM-DD", "account_size": null, "risk_per_trade": null, "active_pairs": [], "current_regime": null }, "analysis": { "last_pair": null, "last_fen": null, "macro_bias": null, "key_levels": {}, "active_setups": [] }, "trades": { "open": [], "pending": [], "today_pnl": 0, "today_trades": 0 }, "skills_run": [] } ``` ## Commands ### SAVE — Store a value ``` /context-memory save key=value /context-memory save account_size=10000 /context-memory save current_regime=trending_bullish /context-memory save active_pairs=[EURUSD,XAUUSD,GBPUSD] ``` ### LOAD — Retrieve stored values ``` /context-memory load /context-memory load account_size /context-memory load analysis ``` ### INJECT — Prepend context into next skill call ``` /context-memory inject → /trading-brain (automatically prefixes stored context before running the skill) ``` ### CLEAR — Reset memory ``` /context-memory clear session /context-memory clear all ``` ### SUMMARY — Display current state ``` /context-memory summary ``` ## Auto-Capture When chaining skills, automatically capture these outputs: - From `/market-regime-classifier` → save `current_regime` - From `/risk-and-portfolio` → save `position_size`, `max_risk` - From `/trading-brain` → save `active_setups`, `key_levels` - From `/trade-journal-analytics` → save `today_pnl`, `today_trades` ## Persistence Write memory state to: `~/.claude/session_context.json` Read it at the start of each session for continuity. ## Usage When user says "remember that...", "use what you know about...", "apply previous analysis to...", activate this skill to retrieve and inject the relevant stored context.