A universal configuration file converter and validator supporting JSON, YAML, and TOML formats for streamlined project setup.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install config-format-converter
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 config-format-converter 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 Config Format Converter?
The Config Format Converter is a specialized tool within the Openclaw Skills ecosystem designed to bridge the gap between different configuration standards. It provides a seamless way to transform structured data between JSON, YAML, and TOML, ensuring that developers can maintain consistency across various programming environments and CI/CD pipelines.
Beyond simple conversion, this skill emphasizes data integrity through syntax validation and human-readability via advanced pretty-printing. Whether you are transitioning a Node.js project to Python or managing complex Kubernetes manifests, this Openclaw Skills utility simplifies the overhead of manual configuration editing and reduces the risk of syntax errors.
Config Format Converter Use Cases
- Migrating project metadata, such as converting package.json to pyproject.toml for cross-language support.
- Converting Docker Compose or Kubernetes YAML files to JSON for compatibility with specific CI/CD validation tools.
- Normalizing and pretty-printing minified configuration files to improve version control diffs and readability.
- Validating configuration syntax automatically before committing changes to a repository.
- Standardizing configuration formats across multi-platform development environments.
How Config Format Converter Works
- The skill identifies the source file format based on its extension (.json, .yaml, .yml, or .toml).
- It parses the source content into a native structured data object using safe loading practices to ensure security.
- The data is validated against the source format's syntax rules to catch errors early.
- The structured data is then re-serialized into the target format, applying user-defined preferences like indentation levels or key sorting.
- The final output is written to the destination file, providing a clean and validated configuration ready for use.
Config Format Converter Setup
To get started with this component of Openclaw Skills, ensure you have the necessary parsing libraries installed in your environment:
pip install pyyaml toml
Once installed, you can utilize the converter within your automation scripts to handle format transitions programmatically.
Config Format Converter Data Schema & Taxonomy
The skill manages data by mapping keys and values between the three major configuration taxonomies. Below is a breakdown of how formats are handled:
| Format | Common Extensions | Typical Metadata Content |
|---|---|---|
| JSON | .json | npm packages, VS Code settings, API responses |
| YAML | .yaml, .yml | Docker, GitHub Actions, Kubernetes, CircleCI |
| TOML | .toml | Poetry (Python), Cargo (Rust), Go modules |
During conversion, the skill prioritizes preserving the logical structure of the data, though it is important to note that format-specific features like YAML comments may not persist across conversions.
Config Format Converter Advanced Features
- Non-Destructive Key Ordering: Utilize sort_keys=False to maintain the original sequence of configuration entries.
- Unicode Support: Full UTF-8 compatibility using ensure_ascii=False for internationalized configuration files.
- Strict Syntax Validation: Built-in error catching for ScannerError (YAML), TomlDecodeError (TOML), and JSONDecodeError.
- Automated Migration Hooks: Easily scriptable workflows for bulk-transforming project structures during stack migrations.
- Pretty-Print Optimization: Custom indentation and flow style controls to ensure generated files meet team style guides.
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