skills$openclaw/droyd
dustinjamest1.7k

by dustinjamest

droyd – OpenClaw Skill

droyd is an OpenClaw Skills integration for writing workflows. 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.

1.7k stars6.6k forksSecurity L1
Updated Feb 7, 2026Created Feb 7, 2026writing

Skill Snapshot

namedroyd
descriptionCrypto 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. OpenClaw Skills integration.
ownerdustinjamest
repositorydustinjamest/droyd
languageMarkdown
licenseMIT
topics
securityL1
installopenclaw add @dustinjamest/droyd
last updatedFeb 7, 2026

Maintainer

dustinjamest

dustinjamest

Maintains droyd in the OpenClaw Skills directory.

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File Explorer
18 files
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references
agent-chat.md
2.0 KB
project-filter.md
4.8 KB
project-search.md
4.3 KB
search.md
4.5 KB
trading.md
6.0 KB
scripts
droyd-chat.sh
971 B
droyd-filter.sh
1.8 KB
droyd-positions.sh
319 B
droyd-project-search.sh
1.1 KB
droyd-search.sh
2.2 KB
droyd-trade-manage.sh
1.4 KB
droyd-trade-open.sh
1.6 KB
droyd-watchlist.sh
504 B
droyd.sh
1.1 KB
_meta.json
622 B
SKILL.md
5.8 KB
SKILL.md

name: droyd description: 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.

DROYD

Execute crypto research, trading, and data operations using natural language through DROYD's AI agent API.

droyd.ai | api.droyd.ai

Quick Start

First-Time Setup

Option A: User provides existing API key

If the user already has a DROYD API key:

  1. Download the Droyd Skill
clawhub install droyd

or if clawhub is not installed

mkdir -p ~/.openclaw/skills/droyd` and copy the contents of the zip file download
  1. configure creditials
cat > ~/.openclaw/workspace/skills/droyd/config.json << 'EOF'
{
  "apiKey": "YOUR_API_KEY_HERE",
  "apiUrl": "https://api.droyd.ai"
}
EOF

API keys can be obtained at droyd.ai in account settings.

Option B: Guide user through signup
  1. Sign up at droyd.ai
  2. Get API key in account settings
  3. Configure:
mkdir -p ~/.openclaw/skills/droyd
cat > ~/.openclaw/skills/droyd/config.json << 'EOF'
{
  "apiKey": "YOUR_API_KEY_HERE",
  "apiUrl": "https://api.droyd.ai"
}
EOF
Verify Setup
scripts/droyd-search.sh "recent" "posts,news" 5

Core Usage

Chat with DROYD AI agent. Supports multi-turn conversations:

# Chat with the agent
scripts/droyd-chat.sh "What's the current sentiment on AI tokens?"

# Continue conversation (pass conversation_uuid from previous response)
scripts/droyd-chat.sh "Tell me more about the second point" "uuid-from-previous"

# With streaming
scripts/droyd-chat.sh "Research Jupiter aggregator" "" "true"

Reference: references/agent-chat.md

Search crypto content with semantic or recent modes:

# Recent content
scripts/droyd-search.sh "recent" "posts,news" 25 "ethereum,base" "defi" 7

# Semantic search
scripts/droyd-search.sh "semantic" "posts,tweets" 50 "" "" 7 "What are the risks of liquid staking?"

Reference: references/search.md

Project Search

Find projects by name, symbol, address, or concept:

# By name
scripts/droyd-project-search.sh "name" "Bitcoin,Ethereum" 10

# By symbol
scripts/droyd-project-search.sh "symbol" "BTC,ETH,SOL"

# Semantic search
scripts/droyd-project-search.sh "semantic" "AI agents in DeFi" 15

# By contract address
scripts/droyd-project-search.sh "address" "So11111111111111111111111111111111111111112"

Reference: references/project-search.md

Project Filter

Screen projects with market criteria:

# Natural language filter
scripts/droyd-filter.sh "natural_language" "Find trending micro-cap Solana tokens with high trader growth"

# Direct filter (trending tokens on Solana under $10M mcap)
scripts/droyd-filter.sh "direct" "" "trending" "desc" "4h" "solana" "" "10" "50000"

Reference: references/project-filter.md

Trading

Execute trades with risk management:

# Simple market buy
scripts/droyd-trade-open.sh 123 "market_buy" 100

# Buy with stop loss and take profit (project_id, entry_amount, stop_%, tp_%)
scripts/droyd-trade-open.sh 123 "managed" 100 0.10 0.25

# Check positions
scripts/droyd-positions.sh

# Close position
scripts/droyd-trade-manage.sh 789 "close"

# Partial sell (50%)
scripts/droyd-trade-manage.sh 789 "sell" 0.5

Reference: references/trading.md

Capabilities Overview

Search Modes

ModeUse Case
autoDefault - automatically selects mode based on query presence
recentBrowse latest content by type, ecosystem, category
semanticAI-powered question answering with analysis

Content Types

posts, news, developments, tweets, youtube, memories

Project Search Types

  • project_id - Direct ID lookup (fastest)
  • name - Search by project name
  • symbol - Search by ticker symbol
  • address - Search by contract address (exact)
  • semantic - AI-powered concept search

Filter Sort Options

trending, market_cap, price_change, traders, traders_change, volume, volume_change, buy_volume_ratio, quant_score, quant_score_change, mentions_24h, mentions_7d

Trading Leg Types

  • market_buy - Immediate execution at market price
  • limit_order - Buy when price drops by specified %
  • stop_loss - Sell on price drop (protection)
  • take_profit - Sell on price rise (lock gains)
  • quant_buy / quant_sell - Trigger on momentum score thresholds

Supported Chains

solana, ethereum, base, arbitrum

Rate Limits

  • Varies by subscription tier - most endpoints are 3 | 30 | 100 for the plans free |casual | pro per API session
  • API sessions are 15 minutes per endpoint
  • HTTP 429 returned when limit exceeded

Error Handling

Common errors:

  • 400 - Validation failed (check parameters)
  • 401 - Invalid or missing API key
  • 429 - Rate limit exceeded (wait 10 minutes)
  • 500 - Internal server error

Resources

README.md

No README available.

Permissions & Security

Security level L1: Low-risk skills with minimal permissions. Review inputs and outputs before running in production.

Requirements

  • OpenClaw CLI installed and configured.
  • Language: Markdown
  • License: MIT
  • Topics:

FAQ

How do I install droyd?

Run openclaw add @dustinjamest/droyd in your terminal. This installs droyd into your OpenClaw Skills catalog.

Does this skill run locally or in the cloud?

OpenClaw Skills execute locally by default. Review the SKILL.md and permissions before running any skill.

Where can I verify the source code?

The source repository is available at https://github.com/openclaw/skills/tree/main/skills/dustinjamest/droyd. Review commits and README documentation before installing.