A robust diagnostic utility for validating and linting Prettier configuration files across multiple formats to ensure project consistency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install prettierrc-validator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install prettierrc-validator 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 Prettier Config Validator?
The Prettier Config Validator is a specialized tool within the Openclaw Skills ecosystem designed to audit .prettierrc files for syntax errors, deprecated options, and conflicting rules. It supports a wide range of formats including JSON, YAML, TOML, and configuration blocks within package.json files. By integrating this into your development workflow, you can ensure that your AI-assisted coding environment maintains strict adherence to project styling guidelines without manual oversight.
This skill provides a deep-dive analysis of your configuration, spanning 22 unique rules across categories like structure, options, and best practices. Whether you are migrating to Prettier v3 or managing complex monorepo overrides, this utility ensures your configuration is technically sound and optimized for performance.
Prettier Config Validator Use Cases
- Automated CI/CD pipeline checks to prevent invalid Prettier configurations from being merged into main branches.
- Auditing legacy projects to identify and replace deprecated Prettier options like jsxBracketSameLine.
- Debugging complex configuration overrides that may cause unexpected formatting behavior across different file types.
- Validating AI-generated configuration files within Openclaw Skills to ensure they meet strict project standards.
How Prettier Config Validator Works
- The tool parses the specified configuration file, auto-detecting formats such as JSON, YAML, or TOML based on content and extension.
- It executes a suite of 22 validation rules across five distinct categories including structure, options, and deprecated fields.
- The validator checks for type conflicts, out-of-range values (like printWidth), and logical inconsistencies such as inverted ranges.
- It generates a detailed report in your choice of text, JSON, or summary format, providing clear guidance on necessary fixes.
- It returns specific exit codes to signal success or failure, facilitating seamless integration with other Openclaw Skills.
Prettier Config Validator Setup
To start using this tool within your Openclaw Skills environment, ensure you have Python 3.8 or higher installed. Follow these steps to set up and run a validation:
# Optional: Install PyYAML for enhanced YAML parsing
pip install PyYAML
# Run a full lint on your configuration file
python3 scripts/prettierrc_validator.py lint .prettierrc.json
# Validate only the 'overrides' section of your config
python3 scripts/prettierrc_validator.py overrides .prettierrc.json
Prettier Config Validator Data Schema & Taxonomy
The validator organizes its findings into a structured taxonomy. When using the JSON output format, the data follows this schema:
| Field | Description |
|---|---|
| file | The path to the configuration file being validated |
| rule | The specific rule ID triggered (e.g., invalid-enum-value) |
| severity | ERROR, WARNING, or INFO |
| message | A human-readable explanation of the issue |
| category | One of: Structure, Options, Deprecated, Overrides, or Best Practices |
| path | The JSON path to the problematic configuration key |
Prettier Config Validator Advanced Features
- JSON output mode enables machine-readable diagnostics for integration with other automated Openclaw Skills.
- Granular command execution allows users to isolate specific checks, such as only looking for deprecated fields or enum conflicts.
- Precedence bug detection identifies duplicate glob patterns within overrides that can cause silent configuration failures.
- Cross-platform best practice enforcement, such as checking for the presence of the endOfLine setting to prevent git line-ending issues.
SKILL.md
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