A comprehensive data utility skill enabling AI agents to seamlessly format, convert, and parse popular developer data formats including JSON, YAML, SQL, XML, radixes, HTML entities, and Cron expressions.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install jiebang-data-formatter
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 jiebang-data-formatter 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 jiebang-data-formatter?
The jiebang-data-formatter is a highly versatile tool suite tailored for modern software development environments. Operating as part of the Openclaw Skills ecosystem, it bridges the gap between chaotic, raw unstructured text and perfectly formatted data structures. By automating painful tasks like converting back and forth between JSON and YAML or formatting minified SQL statements, it ensures that your AI agents interact cleanly with structural system configurations.
Beyond basic layout enhancements, this skill handles intricate formatting rules. It maintains critical data integrity such as keeping comments intact during JSON-to-YAML changes, crunching verbose XML files down to their compressed equivalents, and performing radix conversions across base-2 up to base-36 values. This minimizes manual data cleansing, paving the way for reliable automated tool chains.
jiebang-data-formatter Use Cases
- Swapping deployment or application settings between JSON and YAML configurations.
- Pretty-printing or minifying complex XML payload schemas during integration debugging.
- Formatting multi-line SQL queries cleanly while automatically enforcing uppercase keywords.
- Converting encoded HTML entities or raw string values into clear, safe content blocks.
- Deconstructing obscure standard 5-part Cron expressions to inspect upcoming execution windows.
How jiebang-data-formatter Works
- The AI agent detects a user's intent requiring data manipulation, parsing, or structural conversion.
- The corresponding endpoint sub-capability (such as json-yaml, sql-format, or cron-parse) is systematically invoked with specified parameters.
- The data engine securely validates input compliance parameters and processes the underlying payloads locally.
- A clean JSON output schema is constructed, providing the original payload length, structural validity checks, and the newly formatted string directly back to the active workflow context.
jiebang-data-formatter Setup
Integrate the data formatter skill directly into your operational stack by running the standard initialization workflow:
openclaw install jiebang-data-formatter
Ensure that the incoming request payloads conform structurally to standard UTF-8 strings before feeding them to execution handlers.
jiebang-data-formatter Data Schema & Taxonomy
The skill consistently provides responses using two primary standardized JSON response envelopes:
Formatting & Conversion Output Schema
| Field | Type | Description |
|---|---|---|
success |
boolean | Indicates if the formatting action succeeded |
data.result |
string | The beautifully formatted or converted output payload |
data.original_length |
integer | Character count of the data before processing |
data.result_length |
integer | Character count of the processed result data |
Cron Expression Parser Output Schema
| Field | Type | Description |
|---|---|---|
success |
boolean | Confirms the validity of the expression structure |
data.expression |
string | The exact Cron expression string evaluated |
data.description |
string | Human-readable translation of the Cron schedule |
data.next_runs |
array | Timestamps outlining the upcoming targeted execution runs |
data.is_valid |
boolean | Logical flag determining if the expression is completely valid |
jiebang-data-formatter Advanced Features
- Smart comment preservation during bi-directional JSON/YAML structural conversions.
- Dynamic XML-to-JSON engine mapping to effortlessly transform heritage structural models.
- Comprehensive custom indentation support targeting precise code style guide matches across SQL, XML, and JSON.
- Custom radices calculation extending past standard Hex/Octal models to support full base 2-36 dynamic shifts.
- Predictive scheduling output mapping that looks up to 5 iterations ahead into a Cron string's lifespan.
SKILL.md
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