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Send trading alerts, signals, and analysis summaries to Discord via webhook. Integrates with realtime-alert-pipeline, trading-brain, and trade-journal-analytics.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Entry-point live-market scan. Returns current quote, H1/H4 regime, session state, and watch levels for a default watchlist (gold, US30, US500, US100, EURUSD, GBPUSD, BTCUSD, ETHUSD) — or any custom list. Uses the free yfinance path by default, MT5 if available. USE FOR - scan markets, what's moving, market overview, current prices, what's on the watchlist, show me the markets.
Entry-point ranked-setup feed. Runs the full pair-analyze pipeline against a watchlist and returns the top N highest-grade trade setups right now, sorted by confidence × R:R, with one-line rationale and a copy-pasteable trade plan. USE FOR - what should I trade, recommend trades, best setups, top picks, ranked opportunities, where's the edge.
Entry-point skill discovery. Given a keyword or task description, returns the shortest list of Tradecraft skills that match, with direct invocation recipes. No keyword = show the 5 main entry points. USE FOR - find skill, which skill, how do I, search skills, list skills, what can this do, find command.
Entry-point strategy selector. Lists the available trading strategies with a one-line when-to-use for each, plus a deep-dive drill-down by name. Routes to the right specialist skill (ICT/SMC, breakout, scalping, swing, trend-following, mean-reversion). USE FOR - which strategy, what strategies, strategy selector, strategy list, how should I trade, pick a strategy, ICT or SMC, breakout or trend.
This skill should be used when the user asks to "create an agent", "add an agent", "write a subagent", "agent frontmatter", "when to use description", "agent examples", "agent tools", "agent colors", "autonomous agent", or needs guidance on agent structure, system prompts, triggering conditions, or agent development best practices for Claude Code plugins.
Agentic storage architecture — persistent memory for AI agents using MCP, immutable versioning, sandboxing, and intent validation. Covers the stateless problem in LLM agents, RAG limitations (read-only), MCP protocol (JSON-RPC, resources, tools), storage safety layers, and agent file system design. Source: IBM Technology (Martin Keen), March 2026. Use this skill for "agentic storage", "agent memory", "persistent agent state", "MCP storage", "agent file system", "agent hard drive", "stateless agent problem", "agent work product", "immutable versioning", "agent sandboxing", "intent validation", "agent safety layers", "agent context window limits", "storage for AI agents", "agent persistence", "autonomous agent storage", "agent audit trail". Works with mcp-integration, trading-brain, agents, trade-psychology-coach.
| name | discord-webhook |
| description | Send trading alerts, signals, and analysis summaries to Discord via webhook. Integrates with realtime-alert-pipeline, trading-brain, and trade-journal-analytics. |
| kind | integration |
| category | trading/infrastructure |
| status | active |
| tags | ["alerts","discord","hooks","infrastructure","trading","webhook"] |
| related_skills | ["notion-sync","realtime-alert-pipeline","telegram-bot","trade-copier-signal-broadcaster","trading-brain"] |
You are a Discord integration bridge for trading alerts and skill outputs.
DISCORD_WEBHOOK_URL = "https://discord.com/api/webhooks/YOUR_ID/YOUR_TOKEN"
Save your webhook URL: /context-memory save discord_webhook=<your_url>
{
"embeds": [{
"title": "🎯 Trade Setup Alert",
"color": 3066993,
"fields": [
{"name": "Pair", "value": "EURUSD", "inline": true},
{"name": "Direction", "value": "🟢 BUY", "inline": true},
{"name": "Entry", "value": "1.0845", "inline": true},
{"name": "Stop Loss", "value": "1.0812", "inline": true},
{"name": "Take Profit", "value": "1.0911", "inline": true},
{"name": "R:R", "value": "2.0", "inline": true},
{"name": "Confluence", "value": "⭐⭐⭐⭐⭐ FVG+OB+BOS", "inline": false}
],
"timestamp": "2026-03-18T09:00:00Z"
}]
}
{
"embeds": [{
"title": "📊 Morning Trading Brief",
"color": 5793266,
"description": "[market-intelligence summary]",
"fields": [
{"name": "Regime", "value": "Trending Bullish", "inline": true},
{"name": "Safe to Trade", "value": "✅ Yes", "inline": true},
{"name": "Top Setup", "value": "EURUSD BUY @ 1.0845", "inline": false}
]
}]
}
{
"embeds": [{
"title": "📓 End of Day Summary",
"color": 15158332,
"fields": [
{"name": "Trades", "value": "3", "inline": true},
{"name": "P&L", "value": "+$145 (+1.45%)", "inline": true},
{"name": "Win Rate", "value": "2/3 (67%)", "inline": true}
]
}]
}
/discord-webhook send-alert "EURUSD BUY 1.0845 SL 1.0812 TP 1.0911"
/discord-webhook send-brief (sends morning brief from /market-intelligence)
/discord-webhook send-journal (sends EOD summary from /trade-journal-analytics)
/discord-webhook test (sends test message)
/discord-webhook setup <webhook_url> (saves webhook URL)
Chain with:
/trading-brain EURUSD → /discord-webhook send-alert
/market-intelligence daily → /discord-webhook send-brief
/trade-journal-analytics EOD → /discord-webhook send-journal
import requests, json
def send_discord_alert(webhook_url: str, embed: dict):
payload = {"embeds": [embed]}
response = requests.post(webhook_url, json=payload)
return response.status_code == 204