Dynamic Dashboard with Sub-agent Spawning
Set up a live dashboard that spawns sub-agents to fetch metrics in parallel from multiple data sources, aggregates the results, and delivers formatted updates automatically.
Requirements
github(gh CLI) for GitHub metrics.bird(Twitter) for social data.web_searchorweb_fetchfor external APIs.postgresfor storing historical metrics.- Discord or Canvas for rendering the dashboard.
- Cron jobs for scheduled updates.
How to use
- Set up a metrics database.
CREATE TABLE metrics (
id SERIAL PRIMARY KEY,
source TEXT, -- e.g., "github", "twitter", "polymarket"
metric_name TEXT,
metric_value NUMERIC,
timestamp TIMESTAMPTZ DEFAULT NOW()
);
CREATE TABLE alerts (
id SERIAL PRIMARY KEY,
source TEXT,
condition TEXT,
threshold NUMERIC,
last_triggered TIMESTAMPTZ
);
- Create a Discord channel for dashboard updates (e.g., #dashboard).
- Prompt OpenClaw.
You are my dynamic dashboard manager. Every 15 minutes, run a cron job to:
1. Spawn sub-agents in parallel to fetch data from:
- GitHub: stars, forks, open issues, commits (past 24h)
- Twitter: mentions of "@username", sentiment analysis
- Polymarket: volume for tracked markets
- System: CPU, memory, disk usage via shell commands
2. Each sub-agent writes results to the metrics database.
3. Aggregate all results and format a dashboard:
📊 **Dashboard Update** — [timestamp]
**GitHub**
- ⭐ Stars: [count] (+[change])
- 🍴 Forks: [count]
- 🐛 Open Issues: [count]
- 💻 Commits (24h): [count]
**Social Media**
- 🐦 Twitter Mentions: [count]
- 📈 Sentiment: [positive/negative/neutral]
**Markets**
- 📊 Polymarket Volume: $[amount]
- 🔥 Trending: [market names]
**System Health**
- 💻 CPU: [usage]%
- 🧠 Memory: [usage]%
- 💾 Disk: [usage]%
4. Post to Discord #dashboard.
5. Check alert conditions:
- If GitHub stars change > 50 in 1 hour → ping me
- If system CPU > 90% → alert
- If negative sentiment spike on Twitter → notify
Store all metrics in the database for historical analysis.
- Optional: Use Canvas to render an HTML dashboard with charts and graphs.
- Query historical data, for example: 'Show me GitHub star growth over the past 30 days.'
Source: hesamsheikh/awesome-openclaw-usecases and its contributors. License: MIT.
Copyright (c) 2026
Translation and editorial adaptation by ClawCases.
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