Solana Token Distribution (ZK Compression) for Openclaw

A high-performance tool for distributing Solana tokens using ZK compression to reduce costs by 5000x compared to standard SPL methods.

tilo-14
v1.0.1
Feb 26, 2026
0
1.2k
0

Install & Download

1. ClawHub CLI

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

npx clawhub@latest install solana-token-distribution

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 solana-token-distribution 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 Solana Token Distribution (ZK Compression)?

This skill enables developers to execute massive token distributions, rewards, and airdrops on the Solana blockchain with unprecedented efficiency. By leveraging Light Protocol and ZK compression, it bypasses the high costs of traditional SPL token accounts, making it ideal for DePIN projects and large-scale community rewards.

As part of the Openclaw Skills ecosystem, it provides the necessary TypeScript patterns and architectural guidance to implement both simple and complex claim-based distribution systems. The skill focuses on reducing the financial barrier to entry for on-chain distribution by utilizing stateless compression techniques.

Solana Token Distribution (ZK Compression) Use Cases

  • Executing mass airdrops to over 10,000 recipients using batched transactions with automated retry logic.
  • Implementing DePIN reward systems with minimal overhead costs for millions of micro-transactions.
  • Setting up claim-based distribution systems with linear vesting or cliff schedules for project stakeholders.
  • Reducing protocol operational expenses by utilizing compressed token accounts instead of expensive standard SPL accounts.

How Solana Token Distribution (ZK Compression) Works

  1. Clarify the distribution intent and resolve any metadata gaps or blind spots through automated user questioning.
  2. Identify the appropriate scaling approach based on recipient count, ranging from single transactions to batched execution.
  3. Generate a comprehensive YAML plan file detailing permissions, dependencies, and execution blockers.
  4. Execute the distribution using parallel subagents that load specific technical references and track progress via task tools.
  5. Handle complex technical hurdles by spawning read-only subagents with access to DeepWiki and specialized MCP tools for real-time documentation retrieval.

Solana Token Distribution (ZK Compression) Setup

To integrate this functionality into your environment, follow these steps:

# Add the skill to your project
npx skills add Lightprotocol/skills

# Configure required environment variables
export HELIUS_API_KEY="your_helius_rpc_key"

# Ensure Node.js runtime is available
node --version

Solana Token Distribution (ZK Compression) Data Schema & Taxonomy

The skill manages distribution data through TypeScript structures and specific blockchain metadata parameters:

Data Component Description
Recipient List Array of PublicKeys and corresponding token amounts
Tree Info State tree metadata required for ZK compression proofs
Token Pool Info Infrastructure metadata for the compressed mint repository
Compute Budget Dynamically calculated units (approx. 120k CU per recipient)
Lookup Tables Static addresses used to reduce transaction size on Mainnet/Devnet

Solana Token Distribution (ZK Compression) Advanced Features

  • Support for Merkle-based distribution with partial claims and clawback functionality for advanced treasury management.
  • Integration with Lookup Tables to maximize transaction density and minimize network fees.
  • Multi-agent parallel research support for auditing and planning complex distributions.
  • Seamless transition between simple cliff vesting and advanced linear vesting schedules using reference implementations.

SKILL.md


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