Aggregate Odaily crypto-news, market data, and macro signals into structured outputs.
npx skills add https://github.com/ODAILY/odaily_plugin- --skill odaily
Please help me install this Agent Skill. Skill: odaily Source: https://github.com/ODAILY/odaily_plugin-/tree/main Command: npx skills add https://github.com/ODAILY/odaily_plugin- --skill odaily
The Odaily Skill consolidates crypto-market news, prices, and macro signals into structured outputs that AI agents can reason with, eliminating the friction of querying multiple sources manually.
Run python3 run.py get_today_watch '{"limit": 10}' to fetch today's highlights.
High-intent search queries and answers about installing and using this skill.
To aggregate real-time crypto market data and news for AI agents, this Skill consolidates Odaily headlines, CoinGecko prices, and macro signals into structured outputs. It processes information across five modules to deliver concise, decision-ready briefs.
You can fetch today's crypto highlights by executing python3 run.py get_today_watch with a JSON limit argument. This calls the today's watch module to retrieve structured, AI-extracted headlines with source links for rapid decision making.
Yes, you can optionally configure Supabase for persistence to enable whale-trade deduplication. The Skill supports zero-setup usage by default, but adding Supabase allows you to store and query historical whale-tail scan data.
The market analysis covers real-time CoinGecko prices, market caps, dominance, and notable indicators specifically for BTC, ETH, and SOL. It aggregates these metrics alongside Odaily news to deliver structured macro signals.
Yes, the crypto news aggregation handles errors gracefully and includes source documentation. It exposes Python run.py tools that manage API failures smoothly while maintaining source links to Odaily articles for data verification.
Polymarket data and prediction market scans are limited to the outputs provided by the prediction market anomaly module. The Skill delivers structured briefs but does not support custom querying beyond the exposed Python run.py tools.
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