benchmarking-pallets

Name: benchmarking-pallets
Availability: InStock
Author: Moonsong-Labs

Generate weight functions by benchmarking pallets and precompiles for the Moonbeam runtime.

3|2|Updated Mar 9, 2026

Search Tags:#runtime #benchmark #pallets #weight #substrate #moonbeam #precompiles

Ready to run

npx skills add https://github.com/Moonsong-Labs/knowledge-work-plugins --skill benchmarking-pallets-moonsong-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: benchmarking-pallets
Source: https://github.com/Moonsong-Labs/knowledge-work-plugins/tree/main/moonbeam-engineering/skills/benchmarking-pallets
Command: npx skills add https://github.com/Moonsong-Labs/knowledge-work-plugins --skill benchmarking-pallets-moonsong-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Creates and runs benchmarks for pallets and precompiles to generate accurate weight functions for the Moonbeam runtime. Use when adding new extrinsics, creating precompiles, optimizing functionality, updating weights after logic changes, or validating weight accuracy.

Core Features & Use Cases

Generate benchmarks for pallets and precompiles to produce up-to-date WeightInfo data used by the runtime.
Validate weight estimates when making changes to logic or extrinsics, helping prevent under- or over- provisioning.
Integrate benchmark results into deployment workflows for weight validation and regression checks.

Quick Start

Use the benchmarking-pallets skill to initialize and run the measurement workflow against the Moonbeam runtime to generate updated weights.

Frequently Asked Questions about benchmarking-pallets

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate accurate weight functions for Substrate pallets?▼

You need to benchmark pallets after adding new extrinsics, creating precompiles, optimizing functionality, updating weights following logic changes, or validating existing weight accuracy to prevent performance provisioning issues.

Can I run benchmarks for precompiles on the Moonbeam runtime?▼

The skill enforces a structured workflow that includes benchmark setup, execution, result interpretation, and integration of the generated weights directly into your runtime configurations.

Why do I need to benchmark pallets after changing extrinsic logic?▼

Yes, the skill covers creating and running runtime benchmarks for both pallets and precompiles, allowing you to measure execution costs and update weight models for the Moonbeam runtime.

How do I integrate benchmark results into a runtime deployment workflow?▼

Yes, the skill supports benchmarking precompiles for the Moonbeam runtime, ensuring that precompile execution costs are measured and accurate weight functions are generated.

What is the process to update weight models for a Moonbeam runtime?▼

You should benchmark pallets when adding new extrinsics, creating precompiles, optimizing functionality, or updating weights after logic changes to validate weight accuracy and prevent under- or over-provisioning.