Run Tombi as a TOML formatter, linter, and language server so agents can clean and validate pyproject, Cargo, and other TOML config files before committing changes.
Scanned 6/8/2026
Install via CLI
openskills install agentskillexchange/skills---
name: "Format and lint TOML configuration with Tombi"
slug: "format-and-lint-toml-configuration-with-tombi"
description: "Run Tombi as a TOML formatter, linter, and language server so agents can clean and validate pyproject, Cargo, and other TOML config files before committing changes."
github_stars: 937
verification: "security_reviewed"
source: "https://github.com/tombi-toml/tombi"
author: "tombi-toml"
publisher_type: "open_source_project"
category: "Code Quality & Review"
framework: "Multi-Framework"
tool_ecosystem:
github_repo: "tombi-toml/tombi"
github_stars: 937
npm_package: "tombi"
npm_weekly_downloads: 4458
---
# Format and lint TOML configuration with Tombi
Run Tombi as a TOML formatter, linter, and language server so agents can clean and validate pyproject, Cargo, and other TOML config files before committing changes.
## Prerequisites
Tombi CLI or language server, TOML files, optional npm, PyPI, uvx, Homebrew, VS Code, JetBrains, Zed, or Open VSX integration
## Installation
Requirements and caveats from upstream:
- [](https://pypi.python.org/pypi/tombi)
Basic usage or getting-started notes:
- <strong>Quick Start</strong>
- To quickly try out Tombi's formatter, you can run:
- Source: https://github.com/tombi-toml/tombi
- Extracted from upstream docs: https://raw.githubusercontent.com/tombi-toml/tombi/HEAD/README.md
## Documentation
- http://tombi-toml.github.io/tombi/
## Source
- [Agent Skill Exchange](https://agentskillexchange.com/skills/format-and-lint-toml-configuration-with-tombi/)
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Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.