Build Python smart contracts that leverage LLMs and web data with blockchain consensus.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install genlayer-dev
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install genlayer-dev using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is GenLayer Intelligent Contracts?
GenLayer enables the development of Intelligent Contracts, which are Python-based smart contracts capable of performing LLM calls and fetching web data. By leveraging Openclaw Skills, developers can easily integrate these capabilities into their decentralized workflows. These contracts solve the problem of non-determinism in blockchain by using consensus-based verification through various equivalence principles.
The framework provides a robust environment where AI models and real-time web information can trigger on-chain actions. This integration of Openclaw Skills ensures that developers have a standardized way to build agents that are both autonomous and verifiable, allowing for a new generation of smart contracts that interact with the real world and intelligent reasoning engines.
GenLayer Intelligent Contracts Use Cases
- Creating decentralized prediction markets that resolve based on LLM-analyzed web data.
- Developing AI-driven tokens with transfer logic based on sentiment or content classification.
- Building smart contract oracles that can process and summarize live web content.
- Implementing automated governance systems that utilize LLM reasoning for proposal evaluation.
How GenLayer Intelligent Contracts Works
- The developer defines a contract class inheriting from the core contract base while specifying required dependencies.
- State is managed using specialized storage types like sized integers and dynamic arrays to ensure VM compatibility.
- Non-deterministic operations, such as LLM prompts or web rendering, are defined within closure functions.
- These functions are passed to an Equivalence Principle which coordinates consensus among validators.
- The contract is deployed to the network using the command line interface provided by Openclaw Skills resources.
GenLayer Intelligent Contracts Setup
To begin building with these Openclaw Skills, install the GenLayer CLI and initialize your environment:
npm install -g genlayer
genlayer init
genlayer up
Deploy your first intelligent contract using the following command:
genlayer deploy --contract your_contract.py
GenLayer Intelligent Contracts Data Schema & Taxonomy
| Component | Type | Description |
|---|---|---|
| Integers | u32, u64, u256 | Sized integers required for storage (standard int is not supported) |
| Dynamic Arrays | DynArray[T] | Used for lists that change in size during execution |
| Ordered Maps | TreeMap[K,V] | Key-value storage for mapping addresses or IDs to data |
| Custom Data | @dataclass | Structured data types marked with @allow_storage |
GenLayer Intelligent Contracts Advanced Features
- Prompt Comparative Consensus: Allows validators to reach agreement on semantically equivalent LLM outputs.
- Multi-Contract Interaction: Support for calling and emitting messages to other intelligent contracts and EVM-compatible chains.
- Memory Isolation: Tools for copying storage data to memory for safe use within non-deterministic blocks.
- Custom Validator Logic: Capability to define specific leader/validator patterns for complex computational tasks using Openclaw Skills.
SKILL.md
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