An autonomous AI agent skill that detects market trends and launches meme tokens on the BNB Chain using the Openclaw Skills architecture.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install district9
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install district9 using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
DISTRICT9 is a sophisticated automation framework designed for the decentralized finance ecosystem. As one of the premier Openclaw Skills, it enables developers to deploy autonomous agents that monitor cultural trends, synthesize meme concepts using Large Language Models, and execute on-chain deployments without manual intervention.
By integrating trend sensing with automated creative asset generation, DISTRICT9 bridges the gap between social sentiment and liquid assets on the BNB Chain. The skill leverages the power of LLMs to create unique branding and metadata, ensuring that every launched token is contextually relevant to current market narratives.
To get started with this skill, ensure you have Python 3.12 and the uv package manager installed. Follow these steps to integrate it into your Openclaw Skills environment:
# Sync dependencies
uv sync
# Set required environment variables
export OPENCLAW_WALLET_KEY=0x_your_private_key
export OPENAI_API_KEY=sk-or-v1-your_openrouter_key
# Initialize the configuration
uv run openclaw init
Configure your ~/.openclaw-agent/config.yaml to specify your preferred chain, strategy, and LLM provider.
The skill manages its operations through a structured configuration and metadata system:
| Component | Details |
|---|---|
| config.yaml | Defines agent personality, chain settings, and launch limits. |
| Environment | Securely handles keys like OPENCLAW_WALLET_KEY for on-chain actions. |
| Strategy | Defines data sources (crypto, news), risk levels, and LLM parameters. |
| Metadata | Generates on-chain records including token name, symbol, and URI. |
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