quickwit-ossquickwit-ossOfficial·5 Agent Skills Included

quickwit

Automate Quickwit search engine development, testing, and pull requests

Automates common development tasks for the Quickwit cloud-native search engine, from formatting code to opening pull requests. Fixes clippy warnings, trims unused Rust dependencies, bumps the Tantivy search library, and publishes Lambda release artifacts. Enforces a verification-first workflow with TLA+ specs and simulation tests so agents ship correct, production-ready code.
npx skills add quickwit-oss/quickwit --all -g -y
Available:

Gives the AI agent the repository layout, architecture map, coding rules, and exact test commands it must follow when working on the Quickwit Rust codebase.

All Skills in This Repository (5)

Pure Emerald Level Indicators

Frequently Asked Questions

FAQPage Schema
How to install Quickwit skills?

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

What is Quickwit used for?

Quickwit is an open-source, cloud-native search engine built for observability data like logs and traces, offering sub-second search directly on cloud storage such as S3.

How do these skills help Quickwit contributors?

They automate repetitive maintainer tasks like formatting code, fixing clippy warnings, updating dependencies, and opening clean pull requests with proper checks.

Do these skills work with Claude Code?

Yes. All skills follow the standard SKILL.md format and run directly inside Claude Code and other compatible AI coding agents.

What is the verification-first workflow in Quickwit?

The sesh-mode skill makes the agent write TLA+ specs and simulation tests before implementation, ensuring protocol and state machine changes are provably correct.

Related Repositories in Software Engineering

View All in Software Engineering