Tezos Smart Contract Expert for Openclaw

An expert-led guidance framework for building, securing, and deploying production-ready Tezos blockchain smart contracts.

efekucuk
v1.0.1
Feb 5, 2026
3
2.4k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install tezos

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install tezos 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 Tezos Smart Contract Expert?

This skill provides a comprehensive framework for Tezos blockchain development, emphasizing a security-first philosophy and high gas efficiency. It covers multiple languages including LIGO (CameLIGO and JsLIGO) and Michelson, ensuring developers can implement robust token standards like FA2 (TZIP-12).

By leveraging this specific skill within Openclaw Skills, developers gain access to proven patterns for reentrancy protection, access control, and complex data packing. It bridges the gap between raw blockchain logic and production-ready deployments, offering specific workflows for testing on Shadownet before moving to the Tezos Mainnet.

Tezos Smart Contract Expert Use Cases

  • Building secure Tezos L1 smart contracts for decentralized finance or NFT projects.
  • Implementing FA1.2 or FA2 multi-token standards for fungible and non-fungible assets.
  • Optimizing gas usage for high-frequency on-chain operations using big_map and batching.
  • Debugging and auditing existing Michelson or LIGO code for security vulnerabilities.
  • Planning and executing professional production deployments using simulated environments.

How Tezos Smart Contract Expert Works

  1. Select the appropriate contract language, defaulting to LIGO for production or SmartPy for rapid prototyping.
  2. Implement core logic following security-first patterns, such as updating state before external calls to prevent reentrancy.
  3. Define storage structures using big_map to ensure data scalability and gas efficiency.
  4. Write comprehensive unit tests using the LIGO testing framework to validate logic boundaries.
  5. Compile the contract source and initial storage state into Michelson (.tz) format.
  6. Simulate operations and deploy to the Shadownet testnet for full integration testing.
  7. Conduct a final security review and gas audit before performing the mainnet origination.

Tezos Smart Contract Expert Setup

To begin using this skill with Openclaw Skills, ensure you have the necessary CLI tools installed:

# Install LIGO compiler
curl -L https://ligolang.org/bin/linux/ligo -o /usr/local/bin/ligo
chmod +x /usr/local/bin/ligo

# Install Octez Client for blockchain interaction
sudo apt install octez-client

# Configure the client for the Shadownet testnet
octez-client --endpoint https://rpc.shadownet.teztnets.com config update

Tezos Smart Contract Expert Data Schema & Taxonomy

The skill manages blockchain data and contract artifacts through the following taxonomy:

Component Description Format
Source Code Primary smart contract logic .mligo / .jsligo
Michelson Code Compiled low-level stack-based output .tz
Storage Schema Initial state configuration for origination .tz
Metadata TZIP-16 compliant contract information JSON / Big_map
Test Suites Logic validation and security boundary tests .mligo
Deployment Logs Records of KT1 addresses and transaction hashes Markdown / Text

Tezos Smart Contract Expert Advanced Features

  • Full support for TZIP-12 (FA2) multi-token standards, including complex NFT and hybrid contract patterns.
  • Implementation of Off-chain Views to allow zero-gas read operations for external integrations.
  • Advanced gas optimization techniques including data packing (Bytes.pack) and cached storage reads.
  • Security-hardened admin patterns featuring two-step ownership transfers and pausable entry points.
  • Automated simulation workflows using octez-client dry-runs to predict gas costs and storage burns.

SKILL.md


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