DataDogDataDogOfficial·6 Agent Skills Included

lading

Deterministic load generation and benchmark-driven Rust code optimization

Generates repeatable synthetic load across many protocols to measure the performance of long-running programs. Finds, benchmarks, reviews, and submits Rust optimization patches with strict statistical proof requirements. Eliminates guesswork by requiring baseline benchmarks, property tests, and unanimous multi-persona review before any change ships.
npx skills add DataDog/lading --all -g -y
Available:

Gives your AI agent strict operating rules for working on this codebase, including task routing, determinism requirements, no-panic error handling, and mandatory validation commands.

All Skills in This Repository (6)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install lading?

Run `npx skills add DataDog/lading --all -g -y` in your terminal to install all skills in this suite globally.

What is lading used for?

Lading measures the performance of long-running programs by pushing repeatable synthetic load into them across protocols like HTTP, syslog, DogStatsD, and OpenTelemetry.

How do the optimization skills work?

They find hot-path allocation patterns, capture baseline benchmarks, apply one focused change, then require a 5-persona review with measured improvements before approval.

Does lading work with Claude Code?

Yes. All skills follow the universal SKILL.md standard and run in Claude Code, Cursor, and other compatible coding environments.

Do I need benchmarking experience to use these skills?

No. The skills handle benchmark setup, statistical thresholds, and validation automatically, and the preflight check verifies your environment first.

Related Repositories in Software Engineering

View All in Software Engineering