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

{
  "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.