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droyd

Crypto Trading | Crypto Search | Crypto Token Filter -- AI crypto trading wallet via natural language. Use when the user wants to execute AI research tasks, trade crypto autonomously, search crypto content/news, filter projects by market criteria, manage trading positions, or interact with DROYD agents. Supports agent tasks (research, trading, data analysis), content search (semantic/recent), project discovery (by name/symbol/address/concept), project filtering (market cap, momentum, technical indicators), watchlist management, and autonomous trading with stop losses, take profits, and quant-based strategies. Works with Solana (trading) and other chains Ethereum, Base, and Arbitrum for token filtering + research.

Why use this skill?

Use the DROYD AI agent to automate crypto trading on Solana, perform deep market research, and filter tokens based on real-time market data across multiple chains.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/dustinjamest/droyd
Or

What This Skill Does

The DROYD skill acts as a powerful AI agent interface for the DROYD ecosystem, enabling users to interact with advanced crypto trading, research, and analysis tools directly from their terminal. It facilitates autonomous trading on Solana, semantic searching of crypto-specific news and social sentiment, and granular filtering of crypto projects based on market cap, momentum, or technical indicators across Ethereum, Base, and Arbitrum chains. By integrating DROYD’s API into OpenClaw, users can convert natural language requests into actionable market insights or automated financial execution, effectively turning their CLI into a full-featured institutional-grade crypto command center.

Installation

To begin, ensure you have the OpenClaw framework installed. Use the following command to download the DROYD skill: clawhub install openclaw/skills/skills/dustinjamest/droyd

Once installed, you must configure your API credentials. Obtain an API key from droyd.ai and create a configuration file at ~/.openclaw/workspace/skills/droyd/config.json. Populate this file with your apiKey and the apiUrl provided in the documentation. After installation, verify the connection by running the built-in search script: scripts/droyd-search.sh "recent" "posts,news" 5.

Use Cases

  • Autonomous Trading: Execute market orders on Solana with integrated stop-loss and take-profit mechanisms.
  • Market Intelligence: Query real-time crypto news, social media, and on-chain data using semantic search to gauge sentiment.
  • Investment Filtering: Screen thousands of tokens based on custom parameters, such as trending micro-caps on specific chains or projects with high momentum.
  • Asset Tracking: Manage watchlists and monitor technical indicators across multiple blockchain ecosystems including Ethereum, Arbitrum, and Base.

Example Prompts

  1. "Find the top 5 trending Solana tokens under $5M market cap that have had high social growth in the last 4 hours."
  2. "Research the recent narrative surrounding liquid staking and provide a summary of the current risks for Ethereum-based protocols."
  3. "Buy 1 SOL worth of the token with contract address 0x123... and set a trailing stop loss at 5%."

Tips & Limitations

Always verify financial transactions before confirming them, as DROYD executes real-world trades. For research, combine semantic search with recent data filters for the most accurate results. Note that autonomous trading is primarily supported on Solana, while other chains are optimized for project discovery and market research. Ensure your environment has stable internet connectivity to maintain the API heartbeats required for active trading sessions.

Metadata

Stars1100
Views0
Updated2026-02-17
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-dustinjamest-droyd": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#crypto#trading#defi#solana#research
Safety Score: 2/5

Flags: network-access, file-read, file-write, external-api